Vulnerability in Google Tensorflow
CVE-2021-41207
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `ParallelConcat` misses some input validation and can produce a division by 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
EPSS: 0.001 (3.5th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 5.5 (Medium). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Google Tensorflow — versions 2.7.0
- Tensorflow — versions >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (x_refsource_CONFIRM, Third Party Advisory)
Frequently asked questions
- What is CVE-2021-41207?
- CVE-2021-41207 is a medium-severity vulnerability in Google Tensorflow, classified under Divide By Zero. CVSS score: 5.5/10. Published 2021-11-05.
- How severe is CVE-2021-41207?
- Medium severity. CVSS v3 base score is 5.5 out of 10.
- Is CVE-2021-41207 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.