Undefined behavior when users supply invalid resource handles in TensorFlow
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2022-29207US | medium5.5 | — | ||
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resour… | ||||
references
External citations — patches, advisories, analysis.
- https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7ADVISORY
- https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8ADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2022-29207WEB
Advisories like this name the exposed products attackers go after on your perimeter. See what is exposed on your perimeter with a free passive scan.
Free scan