7.8

CVE-2021-41221

Exploit

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. 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.

Data is provided by the National Vulnerability Database (NVD)
GoogleTensorflow Version >= 2.4.0 < 2.4.4
GoogleTensorflow Version >= 2.5.0 < 2.5.2
GoogleTensorflow Version >= 2.6.0 < 2.6.1
GoogleTensorflow Version2.7.0 Updaterc0
GoogleTensorflow Version2.7.0 Updaterc1
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.02% 0.03
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
nvd@nist.gov 4.6 3.9 6.4
AV:L/AC:L/Au:N/C:P/I:P/A:P
security-advisories@github.com 7.8 1.8 5.9
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE-120 Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow.

CWE-787 Out-of-bounds Write

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