LowVulnerability
CVE-2021-29513: TensorFlow null pointer dereference from non-numeric tensors
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-29513
- Published
- Record updated
- Affected
- tensorflow < 2.1.4, fixed in 2.1.4, released June 15, 2021, 31 days after disclosure
- tensorflow >= 2.2.0, < 2.2.3, fixed in 2.2.3, released June 15, 2021, 31 days after disclosure
- tensorflow >= 2.3.0, < 2.3.3, fixed in 2.3.3, released June 15, 2021, 31 days after disclosure
- and 9 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.2%
Summary
TensorFlow, an open source machine learning platform, is affected by a type confusion flaw in the conversion from Python arrays to C++ arrays in ndarray_tensor.cc. Calling TF operations with non-numeric tensors where numeric tensors are expected results in null pointer dereferences.
Mitigation
The fix will be included in TensorFlow 2.5.0. The commit will also be cherrypicked to TensorFlow 2.4.2, 2.3.3, 2.2.3 and 2.1.4, which are affected and still within the 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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