HighVulnerability
CVE-2021-37657: TensorFlow undefined behavior from null reference in MatrixDiagV operations
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-37657
- 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
CVE-2021-37657 affects TensorFlow versions in which all operations of type `tf.raw_ops.MatrixDiagV*` bind a reference to a null pointer. The implementation in `matrix_diag_op.cc` checks that the `k` value is a scalar or a vector but does not check its number of elements, so an empty tensor causes code that reads the first element to fail, leading to undefined behavior triggered by an attacker.
Mitigation
Patched in GitHub commit f2a673bd34f0d64b8e40a551ac78989d16daad09. The fix will be included in TensorFlow 2.6.0 and 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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