CVE-2021-41195: TensorFlow denial of service in tf.math.segment_* operations
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-41195
- 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 tf.math.segment_* operations, on both CPU and GPU, abort with a CHECK failure when a segment id in segment_ids is large, causing denial of service. The output shape is computed with AddDim, which fails with a std::abort if the tensor's element count overflows an int64_t. The source attributes the issue to similarity with CVE-2021-29584 and other localized TensorFlow API reports.
Mitigation
The fix will be included in TensorFlow 2.7.0. The commit will also be cherrypicked to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, which are affected and still in supported range. The source states that code should use AddDimWithStatus instead of AddDim.
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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