MediumVulnerability
CVE-2021-41225: TensorFlow Grappler optimizer uninitialized variable use
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-41225
- 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's Grappler optimizer contains an uninitialized variable use in affected versions. If the train_nodes vector, taken from the saved model being optimized, has no Dequeue node, dequeue_node is left uninitialized.
Mitigation
Fixed in TensorFlow 2.7.0. The fix will also be cherry-picked to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.
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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