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Vulnerability · Published Feb 3, 2022 · Assigned by GitHub_M

CVE-2022-21736Undefined behavior in Tensorflow

High 7.6

In plain English

A high-severity null pointer dereference in the tensorflow package (PyPI). 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 44.8% 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. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. 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-pfjj-m3jj-9jc9
PyPItensorflow2.6.3GHSA-pfjj-m3jj-9jc9
PyPItensorflow2.7.1GHSA-pfjj-m3jj-9jc9
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3223
PyPItensorflow-cpu2.6.3GHSA-pfjj-m3jj-9jc9
PyPItensorflow-cpu2.7.1GHSA-pfjj-m3jj-9jc9
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-60
PyPItensorflow-cpu2.5.3GHSA-pfjj-m3jj-9jc9
PyPItensorflow-gpu2.7.1GHSA-pfjj-m3jj-9jc9
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-115
PyPItensorflow-gpu2.5.3GHSA-pfjj-m3jj-9jc9
PyPItensorflow-gpu2.6.3GHSA-pfjj-m3jj-9jc9

Affected products (as reported)

VendorProductVersions
n/a n/a n/a

Weakness: CWE-476 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H

References