MediumVulnerability
CVE-2022-41886: TensorFlow buffer overflow in ImageProjectiveTransformV2
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-41886
- Published
- Record updated
- Affected
- tensorflow < 2.8.4, fixed in 2.8.4, released November 16, 2022, 3 days before disclosure
- tensorflow >= 2.9.0, < 2.9.3, fixed in 2.9.3, released November 16, 2022, 3 days before disclosure
- tensorflow >= 2.10.0, < 2.10.1, fixed in 2.10.1, released November 16, 2022, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.5%
Summary
CVE-2022-41886 is a flaw in TensorFlow where `tf.raw_ops.ImageProjectiveTransformV2` overflows when given a large output shape. The flaw is classified as CWE-131, Incorrect Calculation of Buffer Size, and the source says TensorFlow 2.10.1, 2.9.3 and 2.8.4 are affected along with the supported range it covers.
Mitigation
Patched in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11, and the commit will also be cherrypicked onto TensorFlow 2.10.1, 2.9.3 and 2.8.4.
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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