Home/CVE/TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool
CVE

CVE-2022-41900

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool

TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability.

They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0.

We will also cherry pick this commit on TensorFlow 2.10.1.

HIGH · CVSS 7.1 EPSS 0.01243
Act now
  • Public exploit or PoC is available
  • CVSS base score ≥ 7.0
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-125Out-of-bounds Read
CWE-787Out-of-bounds Write
▤

Affected Products & Versions

3
google tensorflow< 2.8.4
google tensorflow>= 2.9.0 and < 2.9.3
google tensorflowall versions
▤

Affected Packages

3
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI tensorflow HIGH fixed in 2.8.4
PyPI tensorflow-cpu HIGH fixed in 2.8.4
PyPI tensorflow-gpu HIGH fixed in 2.8.4
⚠

Public Exploits & PoCs

1
pocgithub.com · GHSA-xvwp-h6jv-7472github.com
▣

Scoring & Timeline

7.1
HIGH · CVSS v3.1 · security-advisories@github.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD18 Nov 2022 · 10:15 PM
CVSS VectorCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
⚑

Vendor Advisories

1
msrcCVE-2022-41900
🔗

References & Sources

1
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
https://github.com/tensorflow/tensorflow/commit/216525144ee7c910296f5b05d214ca1327c9ce48PatchThird Party Advisory
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