Vulnerability in Google Tensorflow
CVE-2021-41214
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. 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: 0.002 (11.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.8 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.
Affected products
- Google Tensorflow — versions 2.6.0
- 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, Exploit, Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2021-41214?
- CVE-2021-41214 is a high-severity vulnerability in Google Tensorflow, classified under Access of Uninitialized Pointer. CVSS score: 7.8/10. Published 2021-11-05.
- How severe is CVE-2021-41214?
- High severity. CVSS v3 base score is 7.8 out of 10.
- Is CVE-2021-41214 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.