In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/issues/42129 | Exploit Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc | Patch Third Party Advisory |
Configurations
History
17 Aug 2021, 13:21
Type | Values Removed | Values Added |
---|---|---|
CPE | cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:* |
Information
Published : 2020-10-21 21:15
Updated : 2024-02-04 21:23
NVD link : CVE-2020-15266
Mitre link : CVE-2020-15266
CVE.ORG link : CVE-2020-15266
JSON object : View
Products Affected
- tensorflow
CWE
CWE-119
Improper Restriction of Operations within the Bounds of a Memory Buffer