GHSA-xwhf-g6j5-j5gc

Dashboard / Vulnerabilities / GHSA-xwhf-g6j5-j5gc

GHSA-xwhf-g6j5-j5gc

Summary: Float cast overflow undefined behavior

Details: ### Impact 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. ### Patches We have patched the issue in c0319231333f0f16e1cc75ec83660b01fedd4182 and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported in #42129

References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xwhf-g6j5-j5gc, https://nvd.nist.gov/vuln/detail/CVE-2020-15266, https://github.com/tensorflow/tensorflow/issues/42129, https://github.com/tensorflow/tensorflow/pull/42143/commits/3ade2efec2e90c6237de32a19680caaa3ebc2845, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-296.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-331.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-139.yaml, https://github.com/tensorflow/tensorflow