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Vulnerability · Published Feb 4, 2022 · Assigned by GitHub_M

CVE-2022-23558Integer overflow in TFLite array creation

High 7.6

In plain English

A high-severity integer overflow 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 57% 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 42.7% 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. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. 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-9gwq-6cwj-47h3
PyPItensorflow2.6.3GHSA-9gwq-6cwj-47h3
PyPItensorflow2.7.1GHSA-9gwq-6cwj-47h3
PyPItensorflow2.5.3, 2.6.3, 2.7.1PYSEC-2026-3151
PyPItensorflow-cpu2.6.3GHSA-9gwq-6cwj-47h3
PyPItensorflow-cpu2.7.1GHSA-9gwq-6cwj-47h3
PyPItensorflow-cpu2.5.3, 2.6.3PYSEC-2022-67
PyPItensorflow-cpu2.5.3GHSA-9gwq-6cwj-47h3
PyPItensorflow-gpu2.7.1GHSA-9gwq-6cwj-47h3
PyPItensorflow-gpu2.5.3, 2.6.3PYSEC-2022-122
PyPItensorflow-gpu2.5.3GHSA-9gwq-6cwj-47h3
PyPItensorflow-gpu2.6.3GHSA-9gwq-6cwj-47h3

Affected products (as reported)

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

Weakness: CWE-190 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H

References