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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23578Memory leak in Tensorflow

Medium 4.3

In plain English

A medium-severity memory leak in tensorflow from tensorflow. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.7% (higher than 54% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)4.3Medium
Exploit odds (30 days)0.7%top 45.8% 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. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. 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-8r7c-3cm2-3h8f
PyPItensorflow2.6.3GHSA-8r7c-3cm2-3h8f
PyPItensorflow2.7.1GHSA-8r7c-3cm2-3h8f
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3138
PyPItensorflow-cpu2.6.3GHSA-8r7c-3cm2-3h8f
PyPItensorflow-cpu2.7.1GHSA-8r7c-3cm2-3h8f
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-87
PyPItensorflow-cpu2.5.3GHSA-8r7c-3cm2-3h8f
PyPItensorflow-gpu2.7.1GHSA-8r7c-3cm2-3h8f
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-142
PyPItensorflow-gpu2.5.3GHSA-8r7c-3cm2-3h8f
PyPItensorflow-gpu2.6.3GHSA-8r7c-3cm2-3h8f

Affected products (as reported)

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

Weakness: CWE-401 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

References