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Vulnerability details: VCID-rasj-1k6m-1yce
Vulnerability ID VCID-rasj-1k6m-1yce
Aliases CVE-2022-35989
GHSA-j43h-pgmg-5hjq
Summary TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` with dimensions greater than its input tensor `input`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. 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-2022-35989
epss 0.00064 https://api.first.org/data/v1/epss?cve=CVE-2022-35989
cvssv3.1_qr MODERATE https://github.com/advisories/GHSA-j43h-pgmg-5hjq
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/32d7bd3defd134f21a4e344c8dfd40099aaf6b18
generic_textual MODERATE https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18
ssvc Track https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18
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-j43h-pgmg-5hjq
cvssv3.1_qr MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq
generic_textual MODERATE https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq
ssvc Track https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq
cvssv3.1 5.9 https://nvd.nist.gov/vuln/detail/CVE-2022-35989
generic_textual MODERATE https://nvd.nist.gov/vuln/detail/CVE-2022-35989
Reference id Reference type URL
https://api.first.org/data/v1/epss?cve=CVE-2022-35989
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
32d7bd3defd134f21a4e344c8dfd40099aaf6b18 https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18
CVE-2022-35989 https://nvd.nist.gov/vuln/detail/CVE-2022-35989
GHSA-j43h-pgmg-5hjq https://github.com/advisories/GHSA-j43h-pgmg-5hjq
GHSA-j43h-pgmg-5hjq https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq
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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none

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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/32d7bd3defd134f21a4e344c8dfd40099aaf6b18
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/2025-04-23T13:59:09Z/ Found at https://github.com/tensorflow/tensorflow/commit/32d7bd3defd134f21a4e344c8dfd40099aaf6b18
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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none

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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-j43h-pgmg-5hjq
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

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none

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none
Vector: SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2025-04-23T13:59:09Z/ Found at https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j43h-pgmg-5hjq
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-2022-35989
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

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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
2026-06-11T17:38:25.950244+00:00 Vulnrichment Import https://github.com/cisagov/vulnrichment/blob/develop/2022/35xxx/CVE-2022-35989.json 38.6.0