TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5hx2-qx8j-qjqm | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/issues/46914 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/e5272d4204ff5b46136a1ef1204fc00597e21837 | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2021-11-05 13:15
Updated : 2021-11-09 09:39
NVD link : CVE-2021-41199
Mitre link : CVE-2021-41199
JSON object : View
CWE
CWE-190
Integer Overflow or Wraparound
Products Affected
- tensorflow