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Package Instance

Lookup for vulnerable packages by Package URL.

Purlpkg:pypi/torch@2.7.0
Typepypi
Namespace
Nametorch
Version2.7.0
Qualifiers
Subpath
Is_vulnerabletrue
Next_non_vulnerable_version2.9.0
Latest_non_vulnerable_version2.9.0
Affected_by_vulnerabilities
0
url VCID-3cvu-c3jj-yyhx
vulnerability_id VCID-3cvu-c3jj-yyhx
summary An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/151522
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/issues/151522
2
reference_url https://github.com/pytorch/pytorch/pull/151897
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/pull/151897
fixed_packages
0
url pkg:pypi/torch@2.7.1
purl pkg:pypi/torch@2.7.1
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-dm2h-xssw-xqhb
1
vulnerability VCID-jqpq-n5zb-2ydh
2
vulnerability VCID-rr2u-g78b-yfev
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.1
aliases CVE-2025-55560, PYSEC-2025-209
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-3cvu-c3jj-yyhx
1
url VCID-dm2h-xssw-xqhb
vulnerability_id VCID-dm2h-xssw-xqhb
summary pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/151510
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
url https://github.com/pytorch/pytorch/issues/151510
fixed_packages
0
url pkg:pypi/torch@2.9.0
purl pkg:pypi/torch@2.9.0
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.9.0
aliases CVE-2025-55554, PYSEC-2025-206
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-dm2h-xssw-xqhb
2
url VCID-jqpq-n5zb-2ydh
vulnerability_id VCID-jqpq-n5zb-2ydh
summary pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/147847
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/issues/147847
fixed_packages
0
url pkg:pypi/torch@2.9.0
purl pkg:pypi/torch@2.9.0
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.9.0
aliases CVE-2025-55552, PYSEC-2025-204
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-jqpq-n5zb-2ydh
3
url VCID-rr2u-g78b-yfev
vulnerability_id VCID-rr2u-g78b-yfev
summary An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/151401
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/issues/151401
fixed_packages
0
url pkg:pypi/torch@2.9.0
purl pkg:pypi/torch@2.9.0
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.9.0
aliases CVE-2025-55551, PYSEC-2025-203
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-rr2u-g78b-yfev
4
url VCID-tw2j-udhp-nydv
vulnerability_id VCID-tw2j-udhp-nydv
summary A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/151432
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/issues/151432
2
reference_url https://github.com/pytorch/pytorch/pull/154645
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/pull/154645
fixed_packages
0
url pkg:pypi/torch@2.7.1
purl pkg:pypi/torch@2.7.1
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-dm2h-xssw-xqhb
1
vulnerability VCID-jqpq-n5zb-2ydh
2
vulnerability VCID-rr2u-g78b-yfev
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.1
aliases CVE-2025-55553, PYSEC-2025-205
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-tw2j-udhp-nydv
5
url VCID-vy3e-sq4h-eybf
vulnerability_id VCID-vy3e-sq4h-eybf
summary A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/151523
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/issues/151523
2
reference_url https://github.com/pytorch/pytorch/pull/151887
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/pull/151887
fixed_packages
0
url pkg:pypi/torch@2.7.1
purl pkg:pypi/torch@2.7.1
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-dm2h-xssw-xqhb
1
vulnerability VCID-jqpq-n5zb-2ydh
2
vulnerability VCID-rr2u-g78b-yfev
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.1
aliases CVE-2025-55558, PYSEC-2025-208
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-vy3e-sq4h-eybf
6
url VCID-x8ck-txve-s7gy
vulnerability_id VCID-x8ck-txve-s7gy
summary A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).
references
0
reference_url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc
1
reference_url https://github.com/pytorch/pytorch/issues/151738
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/issues/151738
2
reference_url https://github.com/pytorch/pytorch/pull/151931
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/pytorch/pytorch/pull/151931
fixed_packages
0
url pkg:pypi/torch@2.7.1
purl pkg:pypi/torch@2.7.1
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-dm2h-xssw-xqhb
1
vulnerability VCID-jqpq-n5zb-2ydh
2
vulnerability VCID-rr2u-g78b-yfev
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.1
aliases CVE-2025-55557, PYSEC-2025-207
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-x8ck-txve-s7gy
Fixing_vulnerabilities
0
url VCID-8u6v-jzkr-nkb4
vulnerability_id VCID-8u6v-jzkr-nkb4
summary In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values of the "other" argument.
references
0
reference_url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
1
reference_url https://github.com/pytorch/pytorch/issues/143555
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
url https://github.com/pytorch/pytorch/issues/143555
2
reference_url https://github.com/pytorch/pytorch/pull/143635
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
url https://github.com/pytorch/pytorch/pull/143635
fixed_packages
0
url pkg:pypi/torch@2.7.0
purl pkg:pypi/torch@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-3cvu-c3jj-yyhx
1
vulnerability VCID-dm2h-xssw-xqhb
2
vulnerability VCID-jqpq-n5zb-2ydh
3
vulnerability VCID-rr2u-g78b-yfev
4
vulnerability VCID-tw2j-udhp-nydv
5
vulnerability VCID-vy3e-sq4h-eybf
6
vulnerability VCID-x8ck-txve-s7gy
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.0
aliases CVE-2025-46152, PYSEC-2025-201
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-8u6v-jzkr-nkb4
1
url VCID-fzd6-jxxp-h7c8
vulnerability_id VCID-fzd6-jxxp-h7c8
summary PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
references
0
reference_url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
1
reference_url https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a
2
reference_url https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0
3
reference_url https://github.com/pytorch/pytorch/issues/142853
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/issues/142853
4
reference_url https://github.com/pytorch/pytorch/pull/143460
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/pull/143460
fixed_packages
0
url pkg:pypi/torch@2.7.0
purl pkg:pypi/torch@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-3cvu-c3jj-yyhx
1
vulnerability VCID-dm2h-xssw-xqhb
2
vulnerability VCID-jqpq-n5zb-2ydh
3
vulnerability VCID-rr2u-g78b-yfev
4
vulnerability VCID-tw2j-udhp-nydv
5
vulnerability VCID-vy3e-sq4h-eybf
6
vulnerability VCID-x8ck-txve-s7gy
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.0
aliases CVE-2025-46153, PYSEC-2025-202
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-fzd6-jxxp-h7c8
2
url VCID-w8cd-83qu-uygf
vulnerability_id VCID-w8cd-83qu-uygf
summary In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
references
0
reference_url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
1
reference_url https://github.com/pytorch/pytorch/issues/141538
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/issues/141538
2
reference_url https://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/issues/141538#issuecomment-2537424658
3
reference_url https://github.com/pytorch/pytorch/pull/144395
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/pull/144395
fixed_packages
0
url pkg:pypi/torch@2.7.0
purl pkg:pypi/torch@2.7.0
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-3cvu-c3jj-yyhx
1
vulnerability VCID-dm2h-xssw-xqhb
2
vulnerability VCID-jqpq-n5zb-2ydh
3
vulnerability VCID-rr2u-g78b-yfev
4
vulnerability VCID-tw2j-udhp-nydv
5
vulnerability VCID-vy3e-sq4h-eybf
6
vulnerability VCID-x8ck-txve-s7gy
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.0
aliases CVE-2025-46150, PYSEC-2025-200
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-w8cd-83qu-uygf
3
url VCID-xgau-bn5a-t3cg
vulnerability_id VCID-xgau-bn5a-t3cg
summary In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.
references
0
reference_url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
1
reference_url https://github.com/pytorch/pytorch/issues/147848
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/issues/147848
2
reference_url https://github.com/pytorch/pytorch/pull/147961
reference_id
reference_type
scores
0
value 5.3
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/pull/147961
fixed_packages
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url pkg:pypi/torch@2.7.0
purl pkg:pypi/torch@2.7.0
is_vulnerable true
affected_by_vulnerabilities
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vulnerability VCID-3cvu-c3jj-yyhx
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vulnerability VCID-dm2h-xssw-xqhb
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vulnerability VCID-jqpq-n5zb-2ydh
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vulnerability VCID-rr2u-g78b-yfev
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vulnerability VCID-tw2j-udhp-nydv
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vulnerability VCID-vy3e-sq4h-eybf
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vulnerability VCID-x8ck-txve-s7gy
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.0
aliases CVE-2025-46149, PYSEC-2025-199
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-xgau-bn5a-t3cg
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url VCID-z22a-fyhr-bbg4
vulnerability_id VCID-z22a-fyhr-bbg4
summary In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.
references
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reference_url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
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url https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
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url https://gist.github.com/shaoyuyoung/65a587a579dfdff887b9b35bb79b9093
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reference_url https://github.com/pytorch/pytorch/issues/151198
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scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
url https://github.com/pytorch/pytorch/issues/151198
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reference_url https://github.com/pytorch/pytorch/pull/152993
reference_id
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url https://github.com/pytorch/pytorch/pull/152993
fixed_packages
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url pkg:pypi/torch@2.7.0
purl pkg:pypi/torch@2.7.0
is_vulnerable true
affected_by_vulnerabilities
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vulnerability VCID-3cvu-c3jj-yyhx
1
vulnerability VCID-dm2h-xssw-xqhb
2
vulnerability VCID-jqpq-n5zb-2ydh
3
vulnerability VCID-rr2u-g78b-yfev
4
vulnerability VCID-tw2j-udhp-nydv
5
vulnerability VCID-vy3e-sq4h-eybf
6
vulnerability VCID-x8ck-txve-s7gy
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.0
aliases CVE-2025-46148, PYSEC-2025-198
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-z22a-fyhr-bbg4
Risk_scorenull
Resource_urlhttp://public2.vulnerablecode.io/packages/pkg:pypi/torch@2.7.0