MediumVulnerability
CVE-2022-36027: TensorFlow crash in converter with per-channel quantization
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-36027
- Published
- Record updated
- Affected
- tensorflow < 2.7.2, fixed in 2.7.2, released May 16, 2022, 124 days before disclosure
- tensorflow >= 2.8.0, < 2.8.1, fixed in 2.8.1, released May 16, 2022, 124 days before disclosure
- tensorflow >= 2.9.0, < 2.9.1, fixed in 2.9.1, released May 23, 2022, 117 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.8%
Summary
A flaw in TensorFlow's converter causes a segfault and crashes the Python process when it converts transposed convolutions that use per-channel weight quantization. The issue is patched in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450, and the fix will be included in TensorFlow 2.10.0.
Mitigation
Patched in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450, to be included in TensorFlow 2.10.0. The commit will also be cherrypicked to TensorFlow 2.9.1, 2.8.1 and 2.7.2.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- tensorflowPyPINo LLM dependency detected · 26 tracked dependents
- tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents
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