HighVulnerability
CVE-2021-41205: TensorFlow out-of-bounds read in QuantizeAndDequantizeV* shape inference
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-41205
- 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
CVE-2021-41205 affects TensorFlow, where the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside the bounds of a heap-allocated array. The flaw is classified as CWE-125 (Out-of-bounds Read), and the NVD record was published on 11/05/2021.
Mitigation
The fix will be included in TensorFlow 2.7.0. The same commit will also be cherry-picked to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, which the source says are also 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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