CVE-2020-15266
medium
CVSS v3
—
CVSS v2
—
VIR risk
5.5
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.
Predictions
Exploit likelihood
30%
Patch ETA
—
Heuristic predictions, AS-IS, for prioritization only.
Mitigations
Vendor advisory: debian — https://security-tracker.debian.org/tracker/CVE-2020-15266
OS impact
| OS | Version | Status | Fixed in |
|---|---|---|---|
| arch | fixed | 2.4.0rc4-1 | |
| debian | forky | fixed | 0 |
| debian | sid | fixed | 0 |
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | tensorflow | <2.4.0 | 2.4.0 |
| PyPI | tensorflow-cpu | <2.4.0 | 2.4.0 |
| PyPI | tensorflow-gpu | <2.4.0 | 2.4.0 |
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
- https://security-tracker.debian.org/tracker/CVE-2020-15266
Verify integrity in audit chain (admin only). AS-IS.