MediumVulnerability
CVE-2022-29213: TensorFlow crash from missing input validation in rfft2d and rfft3d
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-29213
- Published
- Record updated
- Affected
- tensorflow < 2.6.4, fixed in 2.6.4, released May 16, 2022, 5 days before disclosure
- tensorflow >= 2.7.0, < 2.7.2, fixed in 2.7.2, released May 16, 2022, 5 days before disclosure
- tensorflow >= 2.8.0, < 2.8.1, fixed in 2.8.1, released May 16, 2022, 5 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.3%
Summary
CVE-2022-29213 affects TensorFlow versions before 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d functions lack input validation, and under certain conditions this can cause crashes from CHECK-failures.
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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