HighVulnerability
CVE-2021-41206: TensorFlow operations missing tensor shape validation allow crashes
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-41206
- Published
- Record updated
- Affected
- tensorflow >= 2.6.0, < 2.6.1, fixed in 2.6.1, released November 1, 2021, 5 days before disclosure
- tensorflow >= 2.5.0, < 2.5.2, fixed in 2.5.2, released November 1, 2021, 5 days before disclosure
- tensorflow < 2.4.4, fixed in 2.4.4, released November 1, 2021, 5 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 operations in affected versions lack validation of the shapes of their tensor arguments. Depending on the API, this can cause undefined behavior, segfaults, or CHECK-fail crashes, and in some scenarios reads and writes to heap-populated arrays. The issues were found internally through tooling while testing GPU op determinism, and no reproducers exist.
Mitigation
Fixes will be included in TensorFlow 2.7.0. The commits will also be cherry-picked onto TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, which are affected and still in supported range.
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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