CVE-2020-15266
Last modified
CVE-2020-15266 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. 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. EPSS estimates a 0.92% chance of exploitation in the next 30 days.
Description
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.4.0 |
References
- https://github.com/tensorflow/tensorflow/issues/42129Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gcPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/issues/42129Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gcPatch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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