GHSA-wf5p-c75w-w3wh

Source

https://github.com/advisories/GHSA-wf5p-c75w-w3wh

Import Source

https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/08/GHSA-wf5p-c75w-w3wh/GHSA-wf5p-c75w-w3wh.json

Aliases

• BIT-tensorflow-2021-37689
• CVE-2021-37689
• PYSEC-2021-311
• PYSEC-2021-602
• PYSEC-2021-800

Published

2021-08-25T14:39:36Z

Modified

2023-12-06T01:01:24.530425Z

Details

Impact

An attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service:

This is caused by the MLIR optimization of L2NormalizeReduceAxis operator. The implementation unconditionally dereferences a pointer to an iterator to a vector without checking that the vector has elements:

bool L2NormalizeReduceAxis(Value sq_op, DenseElementsAttr axis) {
  if (sq_op.getType().cast<ShapedType>().getRank() - 1 ==
          *axis.getValues<int>().begin() ||
      *axis.getValues<int>().begin() == -1) {
      // ...
  }
  // ...
}

Patches

We have patched the issue in GitHub commit d6b57f461b39fd1aa8c1b870f1b974aac3554955.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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.

Attribution

This vulnerability has been reported by Yakun Zhang of Baidu Security.

References

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wf5p-c75w-w3wh
• https://nvd.nist.gov/vuln/detail/CVE-2021-37689
• https://github.com/tensorflow/tensorflow/commit/d6b57f461b39fd1aa8c1b870f1b974aac3554955
• https://github.com/tensorflow/tensorflow