MediumVulnerability
CVE-2022-21731: Tensorflow denial of service via segfault in ConcatV2 shape inference
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-21731
- Published
- Record updated
- Affected
- tensorflow < 2.5.3, fixed in 2.5.3, released February 2, 2022, 1 day before disclosure
- tensorflow >= 2.6.0, < 2.6.3, fixed in 2.6.3, released February 2, 2022, 1 day before disclosure
- tensorflow = 2.7.0, fixed in 2.7.1, released February 2, 2022, 1 day before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.9%
Summary
CVE-2022-21731 affects TensorFlow's shape inference for `ConcatV2`. A type confusion lets an attacker trigger a segfault, causing a denial of service. The `min_rank` value, computed from `axis` as a 32-bits integer, is compared against a 64-bits lower bound in `WithRankAtLeast`, so a negative `rank` bypasses the check.
Mitigation
Fixed in TensorFlow 2.8.0. The fix will also be cherrypicked to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
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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