Vulnerability in Google Tensorflow
CVE-2021-41201
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. 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 (15.4th 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 (x_refsource_CONFIRM, Exploit, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2021-41201?
- CVE-2021-41201 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-2021-41201?
- High severity. CVSS v3 base score is 7.8 out of 10.
- Is CVE-2021-41201 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.