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Vulnerability details: VCID-mhv5-aphc-cfhn
Vulnerability ID VCID-mhv5-aphc-cfhn
Aliases CVE-2022-35969
GHSA-q2c3-jpmc-gfjx
Summary TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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-2022-35969
epss 0.00064 https://api.first.org/data/v1/epss?cve=CVE-2022-35969
cvssv3.1_qr MODERATE https://github.com/advisories/GHSA-q2c3-jpmc-gfjx
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/50156d547b9a1da0144d7babe665cf690305b33c
generic_textual MODERATE https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
ssvc Track https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
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-q2c3-jpmc-gfjx
cvssv3.1_qr MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
generic_textual MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
ssvc Track https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
cvssv3.1 5.9 https://nvd.nist.gov/vuln/detail/CVE-2022-35969
generic_textual MODERATE https://nvd.nist.gov/vuln/detail/CVE-2022-35969
Reference id Reference type URL
https://api.first.org/data/v1/epss?cve=CVE-2022-35969
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
50156d547b9a1da0144d7babe665cf690305b33c https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
CVE-2022-35969 https://nvd.nist.gov/vuln/detail/CVE-2022-35969
GHSA-q2c3-jpmc-gfjx https://github.com/advisories/GHSA-q2c3-jpmc-gfjx
GHSA-q2c3-jpmc-gfjx https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
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

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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/50156d547b9a1da0144d7babe665cf690305b33c
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

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Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-23T13:59:32Z/ Found at https://github.com/tensorflow/tensorflow/commit/50156d547b9a1da0144d7babe665cf690305b33c
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

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required

unchanged

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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-q2c3-jpmc-gfjx
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

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Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-23T13:59:32Z/ Found at https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q2c3-jpmc-gfjx
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-2022-35969
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

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low

none

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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
2026-06-11T17:38:23.158198+00:00 Vulnrichment Import https://github.com/cisagov/vulnrichment/blob/develop/2022/35xxx/CVE-2022-35969.json 38.6.0