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Vulnerability details: VCID-jg52-1he8-muhq
Vulnerability ID VCID-jg52-1he8-muhq
Aliases CVE-2022-35999
GHSA-37jf-mjv6-xfqw
Summary TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Status Published
Exploitability 0.5
Weighted Severity 6.2
Risk 3.1
Affected and Fixed Packages Package Details
Weaknesses (3)
CWE-617 Reachable Assertion
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
epss 0.00064 https://api.first.org/data/v1/epss?cve=CVE-2022-35999
epss 0.00064 https://api.first.org/data/v1/epss?cve=CVE-2022-35999
cvssv3.1_qr MODERATE https://github.com/advisories/GHSA-37jf-mjv6-xfqw
cvssv3.1 5.9 https://github.com/tensorflow/tensorflow
generic_textual MODERATE https://github.com/tensorflow/tensorflow
cvssv3.1 5.9 https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
generic_textual MODERATE https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
ssvc Track https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
cvssv3.1 5.9 https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
generic_textual MODERATE https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
cvssv3.1 5.9 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
cvssv3.1_qr MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
generic_textual MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
ssvc Track https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
cvssv3.1 5.9 https://nvd.nist.gov/vuln/detail/CVE-2022-35999
generic_textual MODERATE https://nvd.nist.gov/vuln/detail/CVE-2022-35999
Reference id Reference type URL
https://api.first.org/data/v1/epss?cve=CVE-2022-35999
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
27a65a43cf763897fecfa5cdb5cc653fc5dd0346 https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
CVE-2022-35999 https://nvd.nist.gov/vuln/detail/CVE-2022-35999
GHSA-37jf-mjv6-xfqw https://github.com/advisories/GHSA-37jf-mjv6-xfqw
GHSA-37jf-mjv6-xfqw https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
No exploits are available.
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Found at https://github.com/tensorflow/tensorflow
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

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none

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low

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none
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Found at https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

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none

required

unchanged

changed

high

low

none

high

low

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high

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none
Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-23T13:58:14Z/ Found at https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Found at https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

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none

high

low

none

high

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none
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Found at https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none
Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-23T13:58:14Z/ Found at https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Found at https://nvd.nist.gov/vuln/detail/CVE-2022-35999
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none
Exploit Prediction Scoring System (EPSS)
Percentile 0.20193
EPSS Score 0.00064
Published At June 11, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-06-11T17:38:28.878295+00:00 Vulnrichment Import https://github.com/cisagov/vulnrichment/blob/develop/2022/35xxx/CVE-2022-35999.json 38.6.0