LowVulnerability
CVE-2021-29566: TensorFlow heap out-of-bounds write in Dilation2DBackpropInput
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2021-29566
- 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-2021-29566 affects TensorFlow. Passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput` lets an attacker write outside the bounds of heap-allocated arrays, because the implementation in `dilation_ops.cc` does not validate `h_in_max`/`w_in_max` before writing to `in_backprop`.
Mitigation
Fix will be included in TensorFlow 2.5.0. The commit will also be cherrypicked to 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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