Out-of-bounds Read in Google Tensorflow
CVE-2021-41211
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
Vulnerability class: Buffer Overflow
EPSS: 0.002 (10.3th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.1 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H.
Affected products
- Google Tensorflow — versions 2.6.0
- Tensorflow — versions >= 2.6.0, < 2.6.1
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2021-41211?
- CVE-2021-41211 is a high-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 7.1/10. Published 2021-11-05.
- How severe is CVE-2021-41211?
- High severity. CVSS v3 base score is 7.1 out of 10.
- Is CVE-2021-41211 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.