Improper input validation in Google Tensorflow
CVE-2021-29611
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.
Vulnerability class: Dirty Pipe (CVE-2022-0847)
EPSS: 0.002 (10.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 3.6 (Low). Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L.
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.3.3, >= 2.4.0, < 2.4.2
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2021-29611?
- CVE-2021-29611 is a low-severity vulnerability in Google Tensorflow, classified under Improper Initialization. CVSS score: 3.6/10. Published 2021-05-14.
- How severe is CVE-2021-29611?
- Low severity. CVSS v3 base score is 3.6 out of 10.