LowVulnerability
CVE-2021-29619: TensorFlow segfault from invalid arguments to SparseCountSparseOutput
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-29619
- Published
- Record updated
- Affected
- tensorflow < 2.1.4, fixed in 2.1.4, released June 15, 2021, 31 days after disclosure
- tensorflow >= 2.2.0, < 2.2.3, fixed in 2.2.3, released June 15, 2021, 31 days after disclosure
- tensorflow >= 2.3.0, < 2.3.3, fixed in 2.3.3, released June 15, 2021, 31 days after disclosure
- and 9 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.2%
Summary
CVE-2021-29619 affects TensorFlow, an open source machine learning platform. Passing invalid arguments, such as those found through fuzzing, to `tf.raw_ops.SparseCountSparseOutput` causes a segfault. The source states that TensorFlow 2.4.2, 2.3.3, 2.2.3 and 2.1.4 are also affected and remain in supported range.
Mitigation
The fix will be included in TensorFlow 2.5.0. The source also says the commit will be cherrypicked onto TensorFlow 2.4.2, 2.3.3, 2.2.3 and 2.1.4.
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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