MediumVulnerability
CVE-2021-37682: TensorFlow TFLite operations using quantization can read uninitialized values
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-37682
- 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 TFLite operations that use quantization can be made to read uninitialized values. The flaw stems from missing checks on `quantization.type` before `quantization.params` is used, across large parts of the code. The issue affects the listed TensorFlow versions and is still within the supported range.
Mitigation
Patched in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887, 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538. The fix will be included in TensorFlow 2.6.0, and cherry-picked to TensorFlow 2.5.1, 2.4.3 and 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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