MediumVulnerability
CVE-2022-21737: TensorFlow Bincount operations denial of service via crafted arguments
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-21737
- 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
- 0.8%
Summary
CVE-2022-21737 affects the `*Bincount` operations in TensorFlow, an open source machine learning framework. Malicious users can pass arguments that trigger a `CHECK` failure, causing a denial of service, because some input conditions are not caught during shape inference or kernel implementation.
Mitigation
The fix will be included in TensorFlow 2.8.0. The commit 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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