HighVulnerability
CVE-2021-41211: TensorFlow heap out-of-bounds read in QuantizeV2 shape inference
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-41211
- Published
- Record updated
- Affected
- tensorflow = 2.6.0
- tensorflow-cpu = 2.6.0
- tensorflow-gpu = 2.6.0
- Fixed in
- 2.6.1
- tensorflow 2.6.1 released November 1, 2021, 5 days before disclosure
- tensorflow-cpu 2.6.1 released November 1, 2021, 5 days before disclosure
- tensorflow-gpu 2.6.1 released November 1, 2021, 5 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.2%
Summary
CVE-2021-41211 affects TensorFlow. The shape inference code for `QuantizeV2` performs a heap out-of-bounds read whenever `axis` is a negative value less than `-1`, because the code assumes `axis` is a valid index into the `input` tensor's dimensions. The fix will be included in TensorFlow 2.7.0 and cherry-picked to TensorFlow 2.6.1, the only other affected version.
Mitigation
Fixed in TensorFlow 2.7.0; the fix will also be cherry-picked to TensorFlow 2.6.1.
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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