Undefined behavior in Tensorflow
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.
beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2020-15266US | high7.5 | — | ||
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` floatin… | ||||
Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/tensorflow/tensorflow/issues/42129ADVISORY
- https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gcADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2020-15266WEB
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