Out-of-bounds read In tensorflow-cpu
Description
Integer Overflow or Wraparound in TensorFlow
Impact
The Grappler component of TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) in constant folding:
for (const auto& output_prop : output_props) { const PartialTensorShape output_shape(output_prop.shape()); // ... }
The output_prop tensor has a shape that is controlled by user input and this can result in triggering one of the CHECKs in the PartialTensorShape constructor. This is an instance of TFSA-2021-198 (CVE-2021-41197).
Patches
We have patched the issue in GitHub commit be7b286d40bc68cb0b56f702186cc4837d508058.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
pypi | 2.5.3, 2.6.3, 2.7.1 | ||
pypi | 2.5.3, 2.6.3, 2.7.1 | ||
pypi | 2.5.3, 2.6.3, 2.7.1 |
Aliases
References