HighVulnerability
CVE-2021-37658: TensorFlow undefined behavior from null reference in MatrixSetDiagV ops
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-37658
- Published
- Record updated
- Affected
- tensorflow < 2.3.4, fixed in 2.3.4, released August 10, 2021, 3 days before disclosure
- tensorflow >= 2.4.0, < 2.4.3, fixed in 2.4.3, released August 10, 2021, 3 days before disclosure
- tensorflow = 2.5.0, fixed in 2.5.1, released August 10, 2021, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.2%
Summary
TensorFlow's `tf.raw_ops.MatrixSetDiagV*` operations bind a reference to a null pointer when the value of `k` is an empty tensor. The implementation checks that `k` is a scalar or vector but never checks its element count, so code that reads the first element of an empty tensor reads invalid memory, causing undefined behavior.
Mitigation
Patched in GitHub commit ff8894044dfae5568ecbf2ed514c1a37dc394f1b. The fix will be included in TensorFlow 2.6.0. The commit will also be cherry-picked to TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.
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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