7.1

CVE-2021-41211

Exploit

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.

Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version2.6.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.02% 0.027
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
nvd@nist.gov 7.1 1.8 5.2
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
nvd@nist.gov 3.6 3.9 4.9
AV:L/AC:L/Au:N/C:P/I:N/A:P
security-advisories@github.com 7.1 1.8 5.2
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
CWE-125 Out-of-bounds Read

The product reads data past the end, or before the beginning, of the intended buffer.