MediumVulnerability
CVE-2022-21733: Tensorflow StringNGrams denial of service through integer overflow
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-21733
- 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-2022-21733 affects the `StringNGrams` implementation in TensorFlow, an open source machine learning framework. Missing validation on `pad_witdh` lets a negative value reach `ngram_width`, which is later used to allocate parts of the output, causing an integer overflow and an out of memory condition that enables denial of service.
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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