Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23583`CHECK`-failures in binary ops in Tensorflow

Medium 6.5

In plain English

A medium-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 0.9% (higher than 59% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)6.5Medium
Exploit odds (30 days)0.9%top 40.8% 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. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. 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-gjqc-q9g6-q2j3
PyPItensorflow2.6.3GHSA-gjqc-q9g6-q2j3
PyPItensorflow2.7.1GHSA-gjqc-q9g6-q2j3
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3191
PyPItensorflow-cpu2.6.3GHSA-gjqc-q9g6-q2j3
PyPItensorflow-cpu2.7.1GHSA-gjqc-q9g6-q2j3
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-92
PyPItensorflow-cpu2.5.3GHSA-gjqc-q9g6-q2j3
PyPItensorflow-gpu2.7.1GHSA-gjqc-q9g6-q2j3
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-147
PyPItensorflow-gpu2.5.3GHSA-gjqc-q9g6-q2j3
PyPItensorflow-gpu2.6.3GHSA-gjqc-q9g6-q2j3

Affected products (as reported)

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

Weakness: CWE-617 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References