HighVulnerability
CVE-2021-37650: TensorFlow heap buffer overflow in DatasetToTFRecord raw ops
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-37650
- 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 implementation of `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` in affected versions can trigger a heap buffer overflow and segmentation fault. The code assumes every record in the dataset is a string, but performs no check, and the example given uses numeric types.
Mitigation
Patched in GitHub commit e0b6e58c328059829c3eb968136f17aa72b6c876. The fix will be included in TensorFlow 2.6.0, and the commit will be cherrypicked 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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