MediumVulnerability
CVE-2022-29191: TensorFlow denial of service via improper input validation in GetSessionTensor
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-29191
- Published
- Record updated
- Affected
- tensorflow < 2.6.4
- tensorflow-cpu < 2.6.4
- tensorflow-gpu < 2.6.4
- and 6 more
- Fixed in
- 2.6.4
- tensorflow 2.6.4 released May 16, 2022, 5 days before disclosure
- tensorflow-cpu 2.6.4 released May 16, 2022, 5 days before disclosure
- tensorflow-gpu 2.6.4 released May 16, 2022, 5 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
CVE-2022-29191 affects TensorFlow versions before 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The implementation of `tf.raw_ops.GetSessionTensor` does not fully validate its input arguments, which causes a `CHECK`-failure that can be used to trigger a denial of service attack.
Mitigation
Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
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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