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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23573Uninitialized variable access in Tensorflow

High 7.6

In plain English

A high-severity security flaw in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 55% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.6High
Exploit odds (30 days)0.8%top 44.5% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.5.3GHSA-q85f-69q7-55h2
PyPItensorflow2.6.3GHSA-q85f-69q7-55h2
PyPItensorflow2.7.1GHSA-q85f-69q7-55h2
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3229
PyPItensorflow-cpu2.6.3GHSA-q85f-69q7-55h2
PyPItensorflow-cpu2.7.1GHSA-q85f-69q7-55h2
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-82
PyPItensorflow-cpu2.5.3GHSA-q85f-69q7-55h2
PyPItensorflow-gpu2.7.1GHSA-q85f-69q7-55h2
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-137
PyPItensorflow-gpu2.5.3GHSA-q85f-69q7-55h2
PyPItensorflow-gpu2.6.3GHSA-q85f-69q7-55h2

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.7.0, < 2.7.1>= 2.6.0, < 2.6.3< 2.5.3

Weakness: CWE-908 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H

References