Buffer overflow in Google Tensorflow
CVE-2020-15266
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.
Vulnerability class: Buffer Overflow
EPSS: 0.009 (57.3th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 3.7 (Low). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L.
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.4.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Third Party Advisory)
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Patch, Third Party Advisory)
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2020-15266?
- CVE-2020-15266 is a low-severity vulnerability in Google Tensorflow, classified under Improper Restriction of Operations within the Bounds of a Memory Buffer. CVSS score: 3.7/10. Published 2020-10-21.
- How severe is CVE-2020-15266?
- Low severity. CVSS v3 base score is 3.7 out of 10.
- Is CVE-2020-15266 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.