Django REST framework

Package Instance

Lookup for vulnerable packages by Package URL.

Purlpkg:pypi/tensorflow@2.2.0rc1
Typepypi
Namespace
Nametensorflow
Version2.2.0rc1
Qualifiers
Subpath
Is_vulnerabletrue
Next_non_vulnerable_version2.4.4
Latest_non_vulnerable_version2.12.1
Affected_by_vulnerabilities
0
url VCID-1sr1-happ-6ugc
vulnerability_id VCID-1sr1-happ-6ugc
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41221
reference_id
reference_type
scores
0
value 0.0002
scoring_system epss
scoring_elements 0.06058
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41221
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-630.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-630.yaml
2
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-828.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-828.yaml
3
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-413.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-413.yaml
4
reference_url https://github.com/tensorflow/tensorflow
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow
5
reference_url https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6
6
reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx
7
reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
reference_type
scores
0
value High
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-2529
8
reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41221
reference_id CVE-2021-41221
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2021-41221
9
reference_url https://github.com/advisories/GHSA-cqv6-3phm-hcwx
reference_id GHSA-cqv6-3phm-hcwx
reference_type
scores
url https://github.com/advisories/GHSA-cqv6-3phm-hcwx
fixed_packages
0
url pkg:pypi/tensorflow@2.4.4
purl pkg:pypi/tensorflow@2.4.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
1
url pkg:pypi/tensorflow@2.5.2
purl pkg:pypi/tensorflow@2.5.2
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
2
url pkg:pypi/tensorflow@2.6.1
purl pkg:pypi/tensorflow@2.6.1
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
3
url pkg:pypi/tensorflow@2.7.0
purl pkg:pypi/tensorflow@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-11qd-d7c7-sbdm
1
vulnerability VCID-145d-k5w3-tfgz
2
vulnerability VCID-15nt-6tff-k7gb
3
vulnerability VCID-1ah5-hm7a-ykep
4
vulnerability VCID-1hbp-9n5x-tyda
5
vulnerability VCID-2tx7-szke-f7d8
6
vulnerability VCID-39ck-bm9t-kqhs
7
vulnerability VCID-3czq-3twf-skcg
8
vulnerability VCID-3g5a-5csn-h3d9
9
vulnerability VCID-41ax-nrcf-yygf
10
vulnerability VCID-466y-e26r-rka4
11
vulnerability VCID-4fcy-hbcs-cuan
12
vulnerability VCID-5tpp-sf62-zycs
13
vulnerability VCID-62er-23uz-6qgu
14
vulnerability VCID-6888-uhtp-8ub6
15
vulnerability VCID-6gnj-az99-h7b4
16
vulnerability VCID-7uu3-mfan-4ue5
17
vulnerability VCID-83pe-ztey-dbf4
18
vulnerability VCID-8zqb-tqfq-7ud7
19
vulnerability VCID-97cs-4kx3-37gm
20
vulnerability VCID-9arh-a8wj-wka6
21
vulnerability VCID-akmu-fas1-33h6
22
vulnerability VCID-axj7-aq9m-rqdu
23
vulnerability VCID-b4hf-5gqs-yfbw
24
vulnerability VCID-bn6z-c98v-n7bf
25
vulnerability VCID-ccv1-pgda-r7ba
26
vulnerability VCID-cwvm-wntu-tfck
27
vulnerability VCID-d1hw-1fdb-kfhq
28
vulnerability VCID-d3dc-su6w-s3ag
29
vulnerability VCID-egc6-6pwr-fyej
30
vulnerability VCID-en5f-xtha-cyhp
31
vulnerability VCID-ev23-kazv-nkas
32
vulnerability VCID-ev84-gxjn-6bf1
33
vulnerability VCID-exym-4mq2-rkbj
34
vulnerability VCID-eyqx-7k24-zfhq
35
vulnerability VCID-f25m-udat-n3fd
36
vulnerability VCID-f3cx-k63z-7qde
37
vulnerability VCID-fggx-3rzd-8kf5
38
vulnerability VCID-g5zp-g143-a3hk
39
vulnerability VCID-g7ud-1f9c-u7bn
40
vulnerability VCID-g8er-52ns-j7b1
41
vulnerability VCID-g8ts-ghhv-33e3
42
vulnerability VCID-gg98-zkw8-5ben
43
vulnerability VCID-gh9u-ufcn-6khx
44
vulnerability VCID-hujj-6vv2-u3c2
45
vulnerability VCID-jdud-ufqp-4yg5
46
vulnerability VCID-jg5r-hv3s-kuh3
47
vulnerability VCID-k3rw-xwzv-1uer
48
vulnerability VCID-ky4u-eny7-33fy
49
vulnerability VCID-m4na-tgrp-d7fk
50
vulnerability VCID-mtqg-yga8-eqeu
51
vulnerability VCID-mzvs-ne4v-4qh7
52
vulnerability VCID-n62z-1akp-ebck
53
vulnerability VCID-ngkq-s26c-qkfj
54
vulnerability VCID-pe9p-a7nn-8bhj
55
vulnerability VCID-q4zv-syab-bbh8
56
vulnerability VCID-qgr6-bqrc-puhs
57
vulnerability VCID-qxqd-f1bw-y7h4
58
vulnerability VCID-rgug-8jmj-e7hw
59
vulnerability VCID-rsau-jvcr-uudd
60
vulnerability VCID-s3fs-8v2b-zqem
61
vulnerability VCID-sbpr-dnvt-x7eu
62
vulnerability VCID-tru4-6hk6-yydu
63
vulnerability VCID-ugta-nt2s-27fk
64
vulnerability VCID-v2nf-1526-nkbp
65
vulnerability VCID-vfgz-fss4-wbgu
66
vulnerability VCID-vgv7-xc3c-1fb3
67
vulnerability VCID-vnn5-y8ez-rub9
68
vulnerability VCID-vpyd-he5n-b3a4
69
vulnerability VCID-vqxg-mnz4-13cg
70
vulnerability VCID-wfh9-ew6v-nyhy
71
vulnerability VCID-ww95-y388-3ben
72
vulnerability VCID-x2t2-4sa6-qygs
73
vulnerability VCID-x5x3-2cyz-xbhe
74
vulnerability VCID-xn72-z6kg-q7bp
75
vulnerability VCID-y8ed-ynrx-37af
76
vulnerability VCID-yvag-32h1-yfc5
77
vulnerability VCID-yvef-kyv2-qbea
78
vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41221, GHSA-cqv6-3phm-hcwx, PYSEC-2021-413, PYSEC-2021-630, PYSEC-2021-828
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-1sr1-happ-6ugc
1
url VCID-2cw7-2xzs-abfz
vulnerability_id VCID-2cw7-2xzs-abfz
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41217
reference_id
reference_type
scores
0
value 0.00017
scoring_system epss
scoring_elements 0.04734
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41217
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-626.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-626.yaml
2
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-824.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-824.yaml
3
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-409.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-409.yaml
4
reference_url https://github.com/tensorflow/tensorflow
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow
5
reference_url https://github.com/tensorflow/tensorflow/commit/05cbebd3c6bb8f517a158b0155debb8df79017ff
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/commit/05cbebd3c6bb8f517a158b0155debb8df79017ff
6
reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5crj-c72x-m7gq
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5crj-c72x-m7gq
7
reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
reference_type
scores
0
value High
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-2529
8
reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41217
reference_id CVE-2021-41217
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2021-41217
9
reference_url https://github.com/advisories/GHSA-5crj-c72x-m7gq
reference_id GHSA-5crj-c72x-m7gq
reference_type
scores
url https://github.com/advisories/GHSA-5crj-c72x-m7gq
fixed_packages
0
url pkg:pypi/tensorflow@2.4.4
purl pkg:pypi/tensorflow@2.4.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
1
url pkg:pypi/tensorflow@2.5.2
purl pkg:pypi/tensorflow@2.5.2
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
2
url pkg:pypi/tensorflow@2.6.1
purl pkg:pypi/tensorflow@2.6.1
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
3
url pkg:pypi/tensorflow@2.7.0
purl pkg:pypi/tensorflow@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-11qd-d7c7-sbdm
1
vulnerability VCID-145d-k5w3-tfgz
2
vulnerability VCID-15nt-6tff-k7gb
3
vulnerability VCID-1ah5-hm7a-ykep
4
vulnerability VCID-1hbp-9n5x-tyda
5
vulnerability VCID-2tx7-szke-f7d8
6
vulnerability VCID-39ck-bm9t-kqhs
7
vulnerability VCID-3czq-3twf-skcg
8
vulnerability VCID-3g5a-5csn-h3d9
9
vulnerability VCID-41ax-nrcf-yygf
10
vulnerability VCID-466y-e26r-rka4
11
vulnerability VCID-4fcy-hbcs-cuan
12
vulnerability VCID-5tpp-sf62-zycs
13
vulnerability VCID-62er-23uz-6qgu
14
vulnerability VCID-6888-uhtp-8ub6
15
vulnerability VCID-6gnj-az99-h7b4
16
vulnerability VCID-7uu3-mfan-4ue5
17
vulnerability VCID-83pe-ztey-dbf4
18
vulnerability VCID-8zqb-tqfq-7ud7
19
vulnerability VCID-97cs-4kx3-37gm
20
vulnerability VCID-9arh-a8wj-wka6
21
vulnerability VCID-akmu-fas1-33h6
22
vulnerability VCID-axj7-aq9m-rqdu
23
vulnerability VCID-b4hf-5gqs-yfbw
24
vulnerability VCID-bn6z-c98v-n7bf
25
vulnerability VCID-ccv1-pgda-r7ba
26
vulnerability VCID-cwvm-wntu-tfck
27
vulnerability VCID-d1hw-1fdb-kfhq
28
vulnerability VCID-d3dc-su6w-s3ag
29
vulnerability VCID-egc6-6pwr-fyej
30
vulnerability VCID-en5f-xtha-cyhp
31
vulnerability VCID-ev23-kazv-nkas
32
vulnerability VCID-ev84-gxjn-6bf1
33
vulnerability VCID-exym-4mq2-rkbj
34
vulnerability VCID-eyqx-7k24-zfhq
35
vulnerability VCID-f25m-udat-n3fd
36
vulnerability VCID-f3cx-k63z-7qde
37
vulnerability VCID-fggx-3rzd-8kf5
38
vulnerability VCID-g5zp-g143-a3hk
39
vulnerability VCID-g7ud-1f9c-u7bn
40
vulnerability VCID-g8er-52ns-j7b1
41
vulnerability VCID-g8ts-ghhv-33e3
42
vulnerability VCID-gg98-zkw8-5ben
43
vulnerability VCID-gh9u-ufcn-6khx
44
vulnerability VCID-hujj-6vv2-u3c2
45
vulnerability VCID-jdud-ufqp-4yg5
46
vulnerability VCID-jg5r-hv3s-kuh3
47
vulnerability VCID-k3rw-xwzv-1uer
48
vulnerability VCID-ky4u-eny7-33fy
49
vulnerability VCID-m4na-tgrp-d7fk
50
vulnerability VCID-mtqg-yga8-eqeu
51
vulnerability VCID-mzvs-ne4v-4qh7
52
vulnerability VCID-n62z-1akp-ebck
53
vulnerability VCID-ngkq-s26c-qkfj
54
vulnerability VCID-pe9p-a7nn-8bhj
55
vulnerability VCID-q4zv-syab-bbh8
56
vulnerability VCID-qgr6-bqrc-puhs
57
vulnerability VCID-qxqd-f1bw-y7h4
58
vulnerability VCID-rgug-8jmj-e7hw
59
vulnerability VCID-rsau-jvcr-uudd
60
vulnerability VCID-s3fs-8v2b-zqem
61
vulnerability VCID-sbpr-dnvt-x7eu
62
vulnerability VCID-tru4-6hk6-yydu
63
vulnerability VCID-ugta-nt2s-27fk
64
vulnerability VCID-v2nf-1526-nkbp
65
vulnerability VCID-vfgz-fss4-wbgu
66
vulnerability VCID-vgv7-xc3c-1fb3
67
vulnerability VCID-vnn5-y8ez-rub9
68
vulnerability VCID-vpyd-he5n-b3a4
69
vulnerability VCID-vqxg-mnz4-13cg
70
vulnerability VCID-wfh9-ew6v-nyhy
71
vulnerability VCID-ww95-y388-3ben
72
vulnerability VCID-x2t2-4sa6-qygs
73
vulnerability VCID-x5x3-2cyz-xbhe
74
vulnerability VCID-xn72-z6kg-q7bp
75
vulnerability VCID-y8ed-ynrx-37af
76
vulnerability VCID-yvag-32h1-yfc5
77
vulnerability VCID-yvef-kyv2-qbea
78
vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41217, GHSA-5crj-c72x-m7gq, PYSEC-2021-409, PYSEC-2021-626, PYSEC-2021-824
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-2cw7-2xzs-abfz
2
url VCID-2hqc-3d51-4yf5
vulnerability_id VCID-2hqc-3d51-4yf5
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41198
reference_id
reference_type
scores
0
value 0.00049
scoring_system epss
scoring_elements 0.15708
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41198
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-608.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-608.yaml
2
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-806.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-806.yaml
3
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-391.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-391.yaml
4
reference_url https://github.com/tensorflow/tensorflow
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow
5
reference_url https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f
6
reference_url https://github.com/tensorflow/tensorflow/issues/46911
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/issues/46911
7
reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q
8
reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
reference_type
scores
0
value High
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-2529
9
reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41198
reference_id CVE-2021-41198
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2021-41198
10
reference_url https://github.com/advisories/GHSA-2p25-55c9-h58q
reference_id GHSA-2p25-55c9-h58q
reference_type
scores
url https://github.com/advisories/GHSA-2p25-55c9-h58q
fixed_packages
0
url pkg:pypi/tensorflow@2.4.4
purl pkg:pypi/tensorflow@2.4.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
1
url pkg:pypi/tensorflow@2.5.2
purl pkg:pypi/tensorflow@2.5.2
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
2
url pkg:pypi/tensorflow@2.6.1
purl pkg:pypi/tensorflow@2.6.1
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
3
url pkg:pypi/tensorflow@2.7.0
purl pkg:pypi/tensorflow@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-11qd-d7c7-sbdm
1
vulnerability VCID-145d-k5w3-tfgz
2
vulnerability VCID-15nt-6tff-k7gb
3
vulnerability VCID-1ah5-hm7a-ykep
4
vulnerability VCID-1hbp-9n5x-tyda
5
vulnerability VCID-2tx7-szke-f7d8
6
vulnerability VCID-39ck-bm9t-kqhs
7
vulnerability VCID-3czq-3twf-skcg
8
vulnerability VCID-3g5a-5csn-h3d9
9
vulnerability VCID-41ax-nrcf-yygf
10
vulnerability VCID-466y-e26r-rka4
11
vulnerability VCID-4fcy-hbcs-cuan
12
vulnerability VCID-5tpp-sf62-zycs
13
vulnerability VCID-62er-23uz-6qgu
14
vulnerability VCID-6888-uhtp-8ub6
15
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vulnerability VCID-yx57-74vr-rfes
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aliases CVE-2021-41198, GHSA-2p25-55c9-h58q, PYSEC-2021-391, PYSEC-2021-608, PYSEC-2021-806
risk_score null
exploitability null
weighted_severity null
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url VCID-5d73-819a-xbeg
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value 0.00017
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
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aliases CVE-2021-41209, GHSA-6hpv-v2rx-c5g6, PYSEC-2021-401, PYSEC-2021-618, PYSEC-2021-816
risk_score null
exploitability null
weighted_severity null
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vulnerability VCID-sbpr-dnvt-x7eu
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vulnerability VCID-vqxg-mnz4-13cg
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvag-32h1-yfc5
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41214, GHSA-vwhq-49r4-gj9v, PYSEC-2021-406, PYSEC-2021-623, PYSEC-2021-821
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-5ty2-z944-mbht
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url VCID-5xgg-h9wh-3uh7
vulnerability_id VCID-5xgg-h9wh-3uh7
summary multiple issues
references
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reference_id
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value 0.00018
scoring_system epss
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published_at 2026-05-30T12:55:00Z
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resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41226, GHSA-374m-jm66-3vj8, PYSEC-2021-418, PYSEC-2021-635, PYSEC-2021-833
risk_score null
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url VCID-63n6-7fva-5qh7
vulnerability_id VCID-63n6-7fva-5qh7
summary In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
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vulnerability VCID-z9y3-drjc-mycn
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vulnerability VCID-zky1-z6wv-37c5
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15197, GHSA-qc53-44cj-vfvx, PYSEC-2020-120, PYSEC-2020-277, PYSEC-2020-312
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-63n6-7fva-5qh7
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url VCID-688g-g33x-67g9
vulnerability_id VCID-688g-g33x-67g9
summary multiple issues
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41223, GHSA-f54p-f6jp-4rhr, PYSEC-2021-415, PYSEC-2021-632, PYSEC-2021-830
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-688g-g33x-67g9
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url VCID-7tq1-zhms-yybt
vulnerability_id VCID-7tq1-zhms-yybt
summary In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
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vulnerability VCID-nfr9-fgdn-4kh8
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vulnerability VCID-ngsv-ca8h-q7bg
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vulnerability VCID-nhv1-35p3-tyfq
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vulnerability VCID-njqw-ewga-nka4
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vulnerability VCID-nkbd-gkxc-43ba
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vulnerability VCID-ntth-8qpp-jfet
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vulnerability VCID-p34z-fc5p-ryg1
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vulnerability VCID-pegb-mj64-fqgr
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vulnerability VCID-ptys-rse5-9yep
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vulnerability VCID-pwmn-8jqu-83es
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vulnerability VCID-q3xx-8h4b-2kez
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vulnerability VCID-q5yr-cajq-1bcj
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vulnerability VCID-qa9p-g79v-fbe1
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vulnerability VCID-qd5d-rh84-h3bd
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vulnerability VCID-qdnt-cg25-5kdx
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vulnerability VCID-quc8-whc2-cbg7
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vulnerability VCID-qvnc-gzf6-y3f3
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vulnerability VCID-r32y-zznb-pyga
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vulnerability VCID-r9rr-mbk1-8bah
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vulnerability VCID-rk26-e4eh-e7a4
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vulnerability VCID-rkx2-5nyj-bbhu
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vulnerability VCID-rp89-jyjd-cbc2
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vulnerability VCID-rpdd-ny62-jkee
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vulnerability VCID-rr2a-8jrx-6ue8
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vulnerability VCID-rujq-67w1-u3g7
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vulnerability VCID-sb7m-pngm-5fbj
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vulnerability VCID-sd2q-w7wz-vke2
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vulnerability VCID-sdvq-3mgg-8bad
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vulnerability VCID-sf59-u7jt-4bd5
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vulnerability VCID-spbh-6rka-y3a8
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vulnerability VCID-sua8-8a3m-17f2
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vulnerability VCID-t1jw-efcm-kkgx
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vulnerability VCID-tdn4-zmmf-skgv
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vulnerability VCID-try6-1d3f-y3aq
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vulnerability VCID-u1r8-c86t-r3bj
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vulnerability VCID-u597-6euj-auh5
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vulnerability VCID-uy7w-xnc7-d7c5
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vulnerability VCID-uz51-m6ng-mygx
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vulnerability VCID-v4py-xnk2-qbc9
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vulnerability VCID-v5em-3qqk-jqfs
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vulnerability VCID-v92m-yfvz-2khe
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vulnerability VCID-vckb-n5sw-qyey
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vulnerability VCID-vh5d-4p9r-wubf
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vulnerability VCID-vx4g-ckr3-27dm
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vulnerability VCID-vy9b-gx6f-hqbf
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vulnerability VCID-w1sh-pmw3-z7fb
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vulnerability VCID-w2ns-kqmv-xfan
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vulnerability VCID-w5yv-rqt2-mkcy
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vulnerability VCID-wwwt-6qtg-mfb7
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vulnerability VCID-x23c-1b8p-4qak
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vulnerability VCID-xbt8-r95u-sqbu
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vulnerability VCID-y191-8mqq-zqgk
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vulnerability VCID-y251-x618-kqb1
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vulnerability VCID-y37k-6f6n-myd3
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vulnerability VCID-y7hx-h69v-wfcy
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vulnerability VCID-y8f2-x15n-7ycg
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vulnerability VCID-yh43-ndzp-4ue9
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vulnerability VCID-yv86-j6kw-xbb7
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vulnerability VCID-z712-rg6q-t7bm
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vulnerability VCID-z89g-f2a7-9yhg
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vulnerability VCID-z8mc-3qt1-2qhp
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vulnerability VCID-z9y3-drjc-mycn
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vulnerability VCID-zg2k-9558-g7c3
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vulnerability VCID-zh2k-2s8c-bqfn
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vulnerability VCID-zky1-z6wv-37c5
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15196, GHSA-pg59-2f92-5cph, PYSEC-2020-119, PYSEC-2020-276, PYSEC-2020-311
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-7tq1-zhms-yybt
9
url VCID-8cew-f7ja-5bbe
vulnerability_id VCID-8cew-f7ja-5bbe
summary denial of service
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2020-15265
reference_id
reference_type
scores
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value 0.00239
scoring_system epss
scoring_elements 0.47086
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2020-15265
1
reference_url https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808
reference_id
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reference_id
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reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c
reference_id
reference_type
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url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c
4
reference_url https://security.archlinux.org/AVG-1350
reference_id AVG-1350
reference_type
scores
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value Medium
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-1350
fixed_packages
0
url pkg:pypi/tensorflow@2.4.0
purl pkg:pypi/tensorflow@2.4.0
is_vulnerable true
affected_by_vulnerabilities
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vulnerability VCID-15bp-snhe-1ygs
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vulnerability VCID-64j2-brru-xqfw
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vulnerability VCID-ad6g-q6my-5bdy
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vulnerability VCID-cyjm-89wt-hbdy
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vulnerability VCID-d7j8-4k9m-9kb5
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vulnerability VCID-dbb5-21xw-fbfh
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vulnerability VCID-ddf8-mugz-pbbk
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vulnerability VCID-ee2j-htng-z7d3
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vulnerability VCID-ekez-y9nd-bbgz
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vulnerability VCID-exm3-hpp6-g7hg
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vulnerability VCID-f8xv-gky2-kuhu
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vulnerability VCID-f9ua-tntc-7fb1
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vulnerability VCID-fasn-dhy8-yub8
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vulnerability VCID-fe5k-3n3u-j3cg
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vulnerability VCID-fhfh-ryxe-67ha
99
vulnerability VCID-fm3p-x44b-s7fc
100
vulnerability VCID-fx76-8ajz-qkd3
101
vulnerability VCID-g144-4yvx-xybr
102
vulnerability VCID-g423-bnfj-kybz
103
vulnerability VCID-g4y6-tura-gbhx
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vulnerability VCID-gbft-tx74-wkhf
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vulnerability VCID-gbx8-z6n4-7ydc
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vulnerability VCID-gg52-vvcd-zben
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vulnerability VCID-gm34-n1kp-5qh4
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vulnerability VCID-gvws-rve9-nbat
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vulnerability VCID-hfhh-k29v-1kaf
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vulnerability VCID-hk2y-fdnq-ybf1
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vulnerability VCID-hpt6-maej-a3fb
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vulnerability VCID-hqx5-weu3-t7cb
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vulnerability VCID-htd7-d3jj-3ubs
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vulnerability VCID-htjj-5ms9-akfz
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vulnerability VCID-j8rk-k34q-hfgy
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vulnerability VCID-jbqp-8s14-nqf6
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vulnerability VCID-k13c-kgag-dfgc
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vulnerability VCID-k149-grwj-cyg5
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vulnerability VCID-k768-6ush-puhk
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vulnerability VCID-ka3v-q689-n7a4
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vulnerability VCID-kta3-2zcq-83ch
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vulnerability VCID-kujr-wk4f-aua3
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vulnerability VCID-kumd-zcgr-ekb1
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vulnerability VCID-kupu-frrt-pqen
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vulnerability VCID-kuxe-7hab-a3cv
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vulnerability VCID-m3vv-6tqs-sydv
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vulnerability VCID-m5yn-gjpw-53b5
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vulnerability VCID-m7af-p4up-33bh
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vulnerability VCID-mh7p-x5et-67h4
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vulnerability VCID-mt3j-jwu5-pueu
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vulnerability VCID-mtxy-nkwy-pkcz
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vulnerability VCID-myjm-gbbc-qucg
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vulnerability VCID-n2wb-menj-87hu
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vulnerability VCID-nfr9-fgdn-4kh8
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vulnerability VCID-ngsv-ca8h-q7bg
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vulnerability VCID-nhv1-35p3-tyfq
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vulnerability VCID-njqw-ewga-nka4
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vulnerability VCID-nkbd-gkxc-43ba
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vulnerability VCID-ntth-8qpp-jfet
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vulnerability VCID-nxjj-u8zy-gbaz
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vulnerability VCID-p34z-fc5p-ryg1
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vulnerability VCID-pegb-mj64-fqgr
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vulnerability VCID-ptys-rse5-9yep
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vulnerability VCID-pwmn-8jqu-83es
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vulnerability VCID-q5yr-cajq-1bcj
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vulnerability VCID-qa9p-g79v-fbe1
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vulnerability VCID-qd5d-rh84-h3bd
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vulnerability VCID-qdnt-cg25-5kdx
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vulnerability VCID-quc8-whc2-cbg7
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vulnerability VCID-qvnc-gzf6-y3f3
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vulnerability VCID-r32y-zznb-pyga
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vulnerability VCID-r9rr-mbk1-8bah
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vulnerability VCID-rr2a-8jrx-6ue8
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vulnerability VCID-sb7m-pngm-5fbj
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vulnerability VCID-vckb-n5sw-qyey
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vulnerability VCID-z89g-f2a7-9yhg
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vulnerability VCID-zg2k-9558-g7c3
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vulnerability VCID-zh2k-2s8c-bqfn
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vulnerability VCID-zky1-z6wv-37c5
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.0
aliases CVE-2020-15265, GHSA-rrfp-j2mp-hq9c, PYSEC-2020-138, PYSEC-2020-295, PYSEC-2020-330
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-8cew-f7ja-5bbe
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url VCID-9dhc-1f13-5qht
vulnerability_id VCID-9dhc-1f13-5qht
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41219
reference_id
reference_type
scores
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value 0.00019
scoring_system epss
scoring_elements 0.05669
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41219
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-628.yaml
reference_id
reference_type
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url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-628.yaml
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reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-826.yaml
reference_id
reference_type
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url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-826.yaml
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reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-411.yaml
reference_id
reference_type
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url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-411.yaml
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reference_url https://github.com/tensorflow/tensorflow
reference_id
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url https://github.com/tensorflow/tensorflow
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reference_url https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae
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url https://github.com/tensorflow/tensorflow/commit/e6cf28c72ba2eb949ca950d834dd6d66bb01cfae
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reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4f99-p9c2-3j8x
reference_id
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reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
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value High
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-2529
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reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41219
reference_id CVE-2021-41219
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2021-41219
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reference_url https://github.com/advisories/GHSA-4f99-p9c2-3j8x
reference_id GHSA-4f99-p9c2-3j8x
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url pkg:pypi/tensorflow@2.4.4
purl pkg:pypi/tensorflow@2.4.4
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affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
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url pkg:pypi/tensorflow@2.5.2
purl pkg:pypi/tensorflow@2.5.2
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affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
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url pkg:pypi/tensorflow@2.6.1
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affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
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url pkg:pypi/tensorflow@2.7.0
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affected_by_vulnerabilities
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vulnerability VCID-11qd-d7c7-sbdm
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vulnerability VCID-145d-k5w3-tfgz
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41199, GHSA-5hx2-qx8j-qjqm, PYSEC-2021-392, PYSEC-2021-609, PYSEC-2021-807
risk_score null
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url VCID-b8sr-erwh-5yh8
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41228, GHSA-3rcw-9p9x-582v, PYSEC-2021-420, PYSEC-2021-637, PYSEC-2021-835
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-b8sr-erwh-5yh8
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url VCID-bfaj-n1c3-3kb2
vulnerability_id VCID-bfaj-n1c3-3kb2
summary In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
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aliases CVE-2020-15192, GHSA-8fxw-76px-3rxv, PYSEC-2020-115, PYSEC-2020-272, PYSEC-2020-307
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-bfaj-n1c3-3kb2
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url VCID-bm3u-2ych-eqac
vulnerability_id VCID-bm3u-2ych-eqac
summary multiple issues
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scoring_system epss
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published_at 2026-05-30T12:55:00Z
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41227, GHSA-j8c8-67vp-6mx7, PYSEC-2021-419, PYSEC-2021-636, PYSEC-2021-834
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-bm3u-2ych-eqac
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url VCID-bpt2-9hm2-uqad
vulnerability_id VCID-bpt2-9hm2-uqad
summary In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
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reference_url http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html
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resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15191, GHSA-q8qj-fc9q-cphr, PYSEC-2020-114, PYSEC-2020-271, PYSEC-2020-306
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-bpt2-9hm2-uqad
18
url VCID-cgnk-q2ak-rfhg
vulnerability_id VCID-cgnk-q2ak-rfhg
summary In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2020-15199
reference_id
reference_type
scores
0
value 0.00239
scoring_system epss
scoring_elements 0.47086
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2020-15199
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-279.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-279.yaml
2
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-314.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-314.yaml
3
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-122.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-122.yaml
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reference_url https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
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reference_url https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
6
reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h
reference_id
reference_type
scores
0
value HIGH
scoring_system cvssv3.1_qr
scoring_elements
url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h
7
reference_url https://nvd.nist.gov/vuln/detail/CVE-2020-15199
reference_id CVE-2020-15199
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2020-15199
8
reference_url https://github.com/advisories/GHSA-x5cp-9pcf-pp3h
reference_id GHSA-x5cp-9pcf-pp3h
reference_type
scores
0
value HIGH
scoring_system cvssv3.1_qr
scoring_elements
url https://github.com/advisories/GHSA-x5cp-9pcf-pp3h
fixed_packages
0
url pkg:pypi/tensorflow@2.3.1
purl pkg:pypi/tensorflow@2.3.1
is_vulnerable true
affected_by_vulnerabilities
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resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15199, GHSA-x5cp-9pcf-pp3h, PYSEC-2020-122, PYSEC-2020-279, PYSEC-2020-314
risk_score null
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resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-cgnk-q2ak-rfhg
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url VCID-cu5c-pmqv-xkdz
vulnerability_id VCID-cu5c-pmqv-xkdz
summary multiple issues
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41200, GHSA-gh8h-7j2j-qv4f, PYSEC-2021-393, PYSEC-2021-610, PYSEC-2021-808
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-cu5c-pmqv-xkdz
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url VCID-d1s7-gp3x-1ff6
vulnerability_id VCID-d1s7-gp3x-1ff6
summary In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
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resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15193, GHSA-rjjg-hgv6-h69v, PYSEC-2020-116, PYSEC-2020-273, PYSEC-2020-308
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-d1s7-gp3x-1ff6
21
url VCID-dumr-5w15-kbfg
vulnerability_id VCID-dumr-5w15-kbfg
summary In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2020-15198
reference_id
reference_type
scores
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value 0.00169
scoring_system epss
scoring_elements 0.37767
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2020-15198
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-278.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-278.yaml
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reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-313.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-313.yaml
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reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-121.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-121.yaml
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reference_url https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
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reference_url https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
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reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3
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value MODERATE
scoring_system cvssv3.1_qr
scoring_elements
url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3
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reference_url https://nvd.nist.gov/vuln/detail/CVE-2020-15198
reference_id CVE-2020-15198
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2020-15198
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reference_url https://github.com/advisories/GHSA-jc87-6vpp-7ff3
reference_id GHSA-jc87-6vpp-7ff3
reference_type
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value MODERATE
scoring_system cvssv3.1_qr
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url https://github.com/advisories/GHSA-jc87-6vpp-7ff3
fixed_packages
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url pkg:pypi/tensorflow@2.3.1
purl pkg:pypi/tensorflow@2.3.1
is_vulnerable true
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vulnerability VCID-zky1-z6wv-37c5
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15198, GHSA-jc87-6vpp-7ff3, PYSEC-2020-121, PYSEC-2020-278, PYSEC-2020-313
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-dumr-5w15-kbfg
22
url VCID-exm3-hpp6-g7hg
vulnerability_id VCID-exm3-hpp6-g7hg
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41205
reference_id
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value 0.00019
scoring_system epss
scoring_elements 0.05349
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41205
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-615.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-615.yaml
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reference_id
reference_type
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url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-813.yaml
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reference_id
reference_type
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reference_id
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reference_id
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reference_id
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reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
reference_type
scores
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scoring_system archlinux
scoring_elements
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reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41205
reference_id CVE-2021-41205
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2021-41205
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reference_id GHSA-49rx-x2rw-pc6f
reference_type
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purl pkg:pypi/tensorflow@2.4.4
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affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
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affected_by_vulnerabilities
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url pkg:pypi/tensorflow@2.6.1
purl pkg:pypi/tensorflow@2.6.1
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affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
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url pkg:pypi/tensorflow@2.7.0
purl pkg:pypi/tensorflow@2.7.0
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affected_by_vulnerabilities
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vulnerability VCID-11qd-d7c7-sbdm
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvag-32h1-yfc5
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41205, GHSA-49rx-x2rw-pc6f, PYSEC-2021-398, PYSEC-2021-615, PYSEC-2021-813
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-exm3-hpp6-g7hg
23
url VCID-g144-4yvx-xybr
vulnerability_id VCID-g144-4yvx-xybr
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41202
reference_id
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value 0.00037
scoring_system epss
scoring_elements 0.11432
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41202
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41210, GHSA-m342-ff57-4jcc, PYSEC-2021-402, PYSEC-2021-619, PYSEC-2021-817
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-gbft-tx74-wkhf
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url VCID-kupu-frrt-pqen
vulnerability_id VCID-kupu-frrt-pqen
summary multiple issues
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reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41216
reference_id
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value 0.0002
scoring_system epss
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published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41216
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reference_id AVG-2529
reference_type
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value High
scoring_system archlinux
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url https://security.archlinux.org/AVG-2529
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reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41216
reference_id CVE-2021-41216
reference_type
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reference_url https://github.com/advisories/GHSA-3ff2-r28g-w7h9
reference_id GHSA-3ff2-r28g-w7h9
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vulnerability VCID-vnn5-y8ez-rub9
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vulnerability VCID-vpyd-he5n-b3a4
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vulnerability VCID-vqxg-mnz4-13cg
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vulnerability VCID-wfh9-ew6v-nyhy
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vulnerability VCID-ww95-y388-3ben
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vulnerability VCID-x2t2-4sa6-qygs
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vulnerability VCID-x5x3-2cyz-xbhe
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vulnerability VCID-xn72-z6kg-q7bp
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41216, GHSA-3ff2-r28g-w7h9, PYSEC-2021-408, PYSEC-2021-625, PYSEC-2021-823
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-kupu-frrt-pqen
27
url VCID-mq77-h12e-2ybx
vulnerability_id VCID-mq77-h12e-2ybx
summary In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
references
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published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2020-15200
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reference_url https://github.com/advisories/GHSA-x7rp-74x2-mjf3
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vulnerability VCID-zky1-z6wv-37c5
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aliases CVE-2020-15200, GHSA-x7rp-74x2-mjf3, PYSEC-2020-123, PYSEC-2020-280, PYSEC-2020-315
risk_score null
exploitability null
weighted_severity null
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url VCID-myjm-gbbc-qucg
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
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aliases CVE-2021-41203, GHSA-7pxj-m4jf-r6h2, PYSEC-2021-396, PYSEC-2021-613, PYSEC-2021-811
risk_score null
exploitability null
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41222, GHSA-cpf4-wx82-gxp6, PYSEC-2021-414, PYSEC-2021-631, PYSEC-2021-829
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-nfr9-fgdn-4kh8
30
url VCID-psxc-9ka2-uuaj
vulnerability_id VCID-psxc-9ka2-uuaj
summary In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
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vulnerability VCID-zh2k-2s8c-bqfn
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vulnerability VCID-zky1-z6wv-37c5
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.3.1
aliases CVE-2020-15201, GHSA-p5f8-gfw5-33w4, PYSEC-2020-124, PYSEC-2020-281, PYSEC-2020-316
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-psxc-9ka2-uuaj
31
url VCID-qdnt-cg25-5kdx
vulnerability_id VCID-qdnt-cg25-5kdx
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published_at 2026-05-30T12:55:00Z
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vulnerability VCID-yx57-74vr-rfes
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aliases CVE-2021-41197, GHSA-prcg-wp5q-rv7p, PYSEC-2021-390, PYSEC-2021-607, PYSEC-2021-805
risk_score null
exploitability null
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vulnerability VCID-yx57-74vr-rfes
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risk_score null
exploitability null
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resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-qvnc-gzf6-y3f3
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vulnerability VCID-rgug-8jmj-e7hw
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vulnerability VCID-rsau-jvcr-uudd
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vulnerability VCID-s3fs-8v2b-zqem
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vulnerability VCID-sbpr-dnvt-x7eu
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vulnerability VCID-tru4-6hk6-yydu
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vulnerability VCID-ugta-nt2s-27fk
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vulnerability VCID-v2nf-1526-nkbp
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vulnerability VCID-vfgz-fss4-wbgu
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vulnerability VCID-vgv7-xc3c-1fb3
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vulnerability VCID-vnn5-y8ez-rub9
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vulnerability VCID-vpyd-he5n-b3a4
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vulnerability VCID-vqxg-mnz4-13cg
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vulnerability VCID-wfh9-ew6v-nyhy
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vulnerability VCID-ww95-y388-3ben
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vulnerability VCID-x2t2-4sa6-qygs
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vulnerability VCID-x5x3-2cyz-xbhe
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vulnerability VCID-xn72-z6kg-q7bp
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvag-32h1-yfc5
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41218, GHSA-9crf-c6qr-r273, PYSEC-2021-410, PYSEC-2021-627, PYSEC-2021-825
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-rkx2-5nyj-bbhu
34
url VCID-rp89-jyjd-cbc2
vulnerability_id VCID-rp89-jyjd-cbc2
summary denial of service
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2020-15266
reference_id
reference_type
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value 0.00129
scoring_system epss
scoring_elements 0.32032
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2020-15266
1
reference_url https://github.com/tensorflow/tensorflow/issues/42129
reference_id
reference_type
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reference_url https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845
reference_id
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reference_id
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url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc
4
reference_url https://security.archlinux.org/AVG-1350
reference_id AVG-1350
reference_type
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value Medium
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-1350
fixed_packages
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url pkg:pypi/tensorflow@2.4.0
purl pkg:pypi/tensorflow@2.4.0
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vulnerability VCID-15bp-snhe-1ygs
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vulnerability VCID-d7j8-4k9m-9kb5
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vulnerability VCID-dbb5-21xw-fbfh
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vulnerability VCID-ddf8-mugz-pbbk
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vulnerability VCID-ee2j-htng-z7d3
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vulnerability VCID-ekez-y9nd-bbgz
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vulnerability VCID-exm3-hpp6-g7hg
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vulnerability VCID-f8xv-gky2-kuhu
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vulnerability VCID-f9ua-tntc-7fb1
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vulnerability VCID-fasn-dhy8-yub8
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vulnerability VCID-fe5k-3n3u-j3cg
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vulnerability VCID-fhfh-ryxe-67ha
99
vulnerability VCID-fm3p-x44b-s7fc
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vulnerability VCID-fx76-8ajz-qkd3
101
vulnerability VCID-g144-4yvx-xybr
102
vulnerability VCID-g423-bnfj-kybz
103
vulnerability VCID-g4y6-tura-gbhx
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vulnerability VCID-gbft-tx74-wkhf
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vulnerability VCID-gbx8-z6n4-7ydc
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vulnerability VCID-gg52-vvcd-zben
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vulnerability VCID-gm34-n1kp-5qh4
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vulnerability VCID-gvws-rve9-nbat
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vulnerability VCID-hfhh-k29v-1kaf
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vulnerability VCID-hk2y-fdnq-ybf1
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vulnerability VCID-hpt6-maej-a3fb
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vulnerability VCID-hqx5-weu3-t7cb
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vulnerability VCID-htd7-d3jj-3ubs
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vulnerability VCID-htjj-5ms9-akfz
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vulnerability VCID-j8rk-k34q-hfgy
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vulnerability VCID-jbqp-8s14-nqf6
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vulnerability VCID-k13c-kgag-dfgc
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vulnerability VCID-k149-grwj-cyg5
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vulnerability VCID-k768-6ush-puhk
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vulnerability VCID-ka3v-q689-n7a4
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vulnerability VCID-kta3-2zcq-83ch
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vulnerability VCID-kujr-wk4f-aua3
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vulnerability VCID-kumd-zcgr-ekb1
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vulnerability VCID-kupu-frrt-pqen
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vulnerability VCID-kuxe-7hab-a3cv
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vulnerability VCID-m3vv-6tqs-sydv
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vulnerability VCID-m5yn-gjpw-53b5
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vulnerability VCID-m7af-p4up-33bh
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vulnerability VCID-mh7p-x5et-67h4
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vulnerability VCID-mt3j-jwu5-pueu
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vulnerability VCID-mtxy-nkwy-pkcz
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vulnerability VCID-myjm-gbbc-qucg
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vulnerability VCID-n2wb-menj-87hu
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vulnerability VCID-nfr9-fgdn-4kh8
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vulnerability VCID-ngsv-ca8h-q7bg
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vulnerability VCID-nhv1-35p3-tyfq
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vulnerability VCID-njqw-ewga-nka4
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vulnerability VCID-nkbd-gkxc-43ba
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vulnerability VCID-ntth-8qpp-jfet
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vulnerability VCID-nxjj-u8zy-gbaz
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vulnerability VCID-p34z-fc5p-ryg1
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vulnerability VCID-pegb-mj64-fqgr
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vulnerability VCID-ptys-rse5-9yep
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vulnerability VCID-pwmn-8jqu-83es
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vulnerability VCID-q5yr-cajq-1bcj
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vulnerability VCID-qa9p-g79v-fbe1
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vulnerability VCID-qd5d-rh84-h3bd
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vulnerability VCID-qdnt-cg25-5kdx
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vulnerability VCID-quc8-whc2-cbg7
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vulnerability VCID-qvnc-gzf6-y3f3
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vulnerability VCID-r32y-zznb-pyga
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vulnerability VCID-r9rr-mbk1-8bah
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vulnerability VCID-y191-8mqq-zqgk
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vulnerability VCID-y8f2-x15n-7ycg
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vulnerability VCID-z9y3-drjc-mycn
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vulnerability VCID-zg2k-9558-g7c3
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vulnerability VCID-zh2k-2s8c-bqfn
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vulnerability VCID-zky1-z6wv-37c5
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.0
aliases CVE-2020-15266, GHSA-xwhf-g6j5-j5gc, PYSEC-2020-139, PYSEC-2020-296, PYSEC-2020-331
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-rp89-jyjd-cbc2
35
url VCID-rr2a-8jrx-6ue8
vulnerability_id VCID-rr2a-8jrx-6ue8
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41213
reference_id
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value 0.00043
scoring_system epss
scoring_elements 0.13618
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41213
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-622.yaml
reference_id
reference_type
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reference_id
reference_type
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reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-405.yaml
reference_id
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reference_id
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reference_id
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reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
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scoring_system archlinux
scoring_elements
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reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41213
reference_id CVE-2021-41213
reference_type
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url https://nvd.nist.gov/vuln/detail/CVE-2021-41213
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reference_url https://github.com/advisories/GHSA-h67m-xg8f-fxcf
reference_id GHSA-h67m-xg8f-fxcf
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affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
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affected_by_vulnerabilities
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url pkg:pypi/tensorflow@2.7.0
purl pkg:pypi/tensorflow@2.7.0
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affected_by_vulnerabilities
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41213, GHSA-h67m-xg8f-fxcf, PYSEC-2021-405, PYSEC-2021-622, PYSEC-2021-820
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-rr2a-8jrx-6ue8
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url VCID-rujq-67w1-u3g7
vulnerability_id VCID-rujq-67w1-u3g7
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references
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value 0.00018
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
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aliases CVE-2021-41225, GHSA-7r94-xv9v-63jw, PYSEC-2021-417, PYSEC-2021-634, PYSEC-2021-832
risk_score null
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vulnerability VCID-11qd-d7c7-sbdm
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vulnerability VCID-15nt-6tff-k7gb
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vulnerability VCID-y8ed-ynrx-37af
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vulnerability VCID-yvag-32h1-yfc5
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41215, GHSA-x3v8-c8qx-3j3r, PYSEC-2021-407, PYSEC-2021-624, PYSEC-2021-822
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-sb7m-pngm-5fbj
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url VCID-sf59-u7jt-4bd5
vulnerability_id VCID-sf59-u7jt-4bd5
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reference_url https://github.com/advisories/GHSA-fr77-rrx3-cp7g
reference_id GHSA-fr77-rrx3-cp7g
reference_type
scores
url https://github.com/advisories/GHSA-fr77-rrx3-cp7g
fixed_packages
0
url pkg:pypi/tensorflow@2.4.4
purl pkg:pypi/tensorflow@2.4.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
1
url pkg:pypi/tensorflow@2.5.2
purl pkg:pypi/tensorflow@2.5.2
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
2
url pkg:pypi/tensorflow@2.6.1
purl pkg:pypi/tensorflow@2.6.1
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
3
url pkg:pypi/tensorflow@2.7.0
purl pkg:pypi/tensorflow@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-11qd-d7c7-sbdm
1
vulnerability VCID-145d-k5w3-tfgz
2
vulnerability VCID-15nt-6tff-k7gb
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vulnerability VCID-1ah5-hm7a-ykep
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vulnerability VCID-1hbp-9n5x-tyda
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vulnerability VCID-2tx7-szke-f7d8
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vulnerability VCID-39ck-bm9t-kqhs
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vulnerability VCID-3czq-3twf-skcg
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vulnerability VCID-3g5a-5csn-h3d9
9
vulnerability VCID-41ax-nrcf-yygf
10
vulnerability VCID-466y-e26r-rka4
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vulnerability VCID-4fcy-hbcs-cuan
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vulnerability VCID-5tpp-sf62-zycs
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vulnerability VCID-62er-23uz-6qgu
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vulnerability VCID-6888-uhtp-8ub6
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vulnerability VCID-6gnj-az99-h7b4
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vulnerability VCID-7uu3-mfan-4ue5
17
vulnerability VCID-83pe-ztey-dbf4
18
vulnerability VCID-8zqb-tqfq-7ud7
19
vulnerability VCID-97cs-4kx3-37gm
20
vulnerability VCID-9arh-a8wj-wka6
21
vulnerability VCID-akmu-fas1-33h6
22
vulnerability VCID-axj7-aq9m-rqdu
23
vulnerability VCID-b4hf-5gqs-yfbw
24
vulnerability VCID-bn6z-c98v-n7bf
25
vulnerability VCID-ccv1-pgda-r7ba
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vulnerability VCID-cwvm-wntu-tfck
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vulnerability VCID-d1hw-1fdb-kfhq
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vulnerability VCID-d3dc-su6w-s3ag
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vulnerability VCID-egc6-6pwr-fyej
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vulnerability VCID-en5f-xtha-cyhp
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vulnerability VCID-ev23-kazv-nkas
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vulnerability VCID-ev84-gxjn-6bf1
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vulnerability VCID-exym-4mq2-rkbj
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vulnerability VCID-eyqx-7k24-zfhq
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vulnerability VCID-f25m-udat-n3fd
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vulnerability VCID-f3cx-k63z-7qde
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vulnerability VCID-fggx-3rzd-8kf5
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vulnerability VCID-g5zp-g143-a3hk
39
vulnerability VCID-g7ud-1f9c-u7bn
40
vulnerability VCID-g8er-52ns-j7b1
41
vulnerability VCID-g8ts-ghhv-33e3
42
vulnerability VCID-gg98-zkw8-5ben
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vulnerability VCID-gh9u-ufcn-6khx
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vulnerability VCID-hujj-6vv2-u3c2
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vulnerability VCID-jdud-ufqp-4yg5
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vulnerability VCID-jg5r-hv3s-kuh3
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vulnerability VCID-k3rw-xwzv-1uer
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vulnerability VCID-ky4u-eny7-33fy
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vulnerability VCID-m4na-tgrp-d7fk
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vulnerability VCID-mtqg-yga8-eqeu
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vulnerability VCID-mzvs-ne4v-4qh7
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vulnerability VCID-n62z-1akp-ebck
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vulnerability VCID-ngkq-s26c-qkfj
54
vulnerability VCID-pe9p-a7nn-8bhj
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vulnerability VCID-q4zv-syab-bbh8
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vulnerability VCID-qgr6-bqrc-puhs
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vulnerability VCID-qxqd-f1bw-y7h4
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vulnerability VCID-rgug-8jmj-e7hw
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vulnerability VCID-rsau-jvcr-uudd
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vulnerability VCID-s3fs-8v2b-zqem
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vulnerability VCID-sbpr-dnvt-x7eu
62
vulnerability VCID-tru4-6hk6-yydu
63
vulnerability VCID-ugta-nt2s-27fk
64
vulnerability VCID-v2nf-1526-nkbp
65
vulnerability VCID-vfgz-fss4-wbgu
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vulnerability VCID-vgv7-xc3c-1fb3
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vulnerability VCID-vnn5-y8ez-rub9
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vulnerability VCID-vpyd-he5n-b3a4
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vulnerability VCID-vqxg-mnz4-13cg
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vulnerability VCID-wfh9-ew6v-nyhy
71
vulnerability VCID-ww95-y388-3ben
72
vulnerability VCID-x2t2-4sa6-qygs
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vulnerability VCID-x5x3-2cyz-xbhe
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vulnerability VCID-xn72-z6kg-q7bp
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vulnerability VCID-y8ed-ynrx-37af
76
vulnerability VCID-yvag-32h1-yfc5
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vulnerability VCID-yvef-kyv2-qbea
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vulnerability VCID-yx57-74vr-rfes
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.7.0
aliases CVE-2021-41212, GHSA-fr77-rrx3-cp7g, PYSEC-2021-404, PYSEC-2021-621, PYSEC-2021-819
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-y7hx-h69v-wfcy
42
url VCID-yh43-ndzp-4ue9
vulnerability_id VCID-yh43-ndzp-4ue9
summary multiple issues
references
0
reference_url https://api.first.org/data/v1/epss?cve=CVE-2021-41195
reference_id
reference_type
scores
0
value 0.00038
scoring_system epss
scoring_elements 0.11785
published_at 2026-05-30T12:55:00Z
url https://api.first.org/data/v1/epss?cve=CVE-2021-41195
1
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-844.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-844.yaml
2
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-846.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-846.yaml
3
reference_url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-842.yaml
reference_id
reference_type
scores
url https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-842.yaml
4
reference_url https://github.com/tensorflow/tensorflow
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow
5
reference_url https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429
reference_id
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url https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429
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reference_url https://github.com/tensorflow/tensorflow/issues/46888
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/issues/46888
7
reference_url https://github.com/tensorflow/tensorflow/pull/51733
reference_id
reference_type
scores
url https://github.com/tensorflow/tensorflow/pull/51733
8
reference_url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh
reference_id
reference_type
scores
0
value MODERATE
scoring_system cvssv3.1_qr
scoring_elements
url https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh
9
reference_url https://security.archlinux.org/AVG-2529
reference_id AVG-2529
reference_type
scores
0
value High
scoring_system archlinux
scoring_elements
url https://security.archlinux.org/AVG-2529
10
reference_url https://nvd.nist.gov/vuln/detail/CVE-2021-41195
reference_id CVE-2021-41195
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2021-41195
11
reference_url https://github.com/advisories/GHSA-cq76-mxrc-vchh
reference_id GHSA-cq76-mxrc-vchh
reference_type
scores
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value MODERATE
scoring_system cvssv3.1_qr
scoring_elements
url https://github.com/advisories/GHSA-cq76-mxrc-vchh
fixed_packages
0
url pkg:pypi/tensorflow@2.4.4
purl pkg:pypi/tensorflow@2.4.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.4.4
1
url pkg:pypi/tensorflow@2.5.2
purl pkg:pypi/tensorflow@2.5.2
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.5.2
2
url pkg:pypi/tensorflow@2.6.1
purl pkg:pypi/tensorflow@2.6.1
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.6.1
aliases CVE-2021-41195, GHSA-cq76-mxrc-vchh, PYSEC-2021-842, PYSEC-2021-844, PYSEC-2021-846
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-yh43-ndzp-4ue9
Fixing_vulnerabilities
Risk_scorenull
Resource_urlhttp://public2.vulnerablecode.io/packages/pkg:pypi/tensorflow@2.2.0rc1