CVE-2022-29205
TensorFlow Denial of Service (DoS) and Segmentation Fault Vulnerability
Description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
INFO
Published Date :
May 20, 2022, 11:15 p.m.
Last Modified :
June 2, 2022, 7:31 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
Exploitability Score :
1.8
Public PoC/Exploit Available at Github
CVE-2022-29205 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2022-29205.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320 | Third Party Advisory |
| https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482 | Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 | Release Notes Third Party Advisory |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 | Release Notes Third Party Advisory |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 | Release Notes Third Party Advisory |
| https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 | Release Notes Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976 | Exploit Patch Third Party Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
None
Dockerfile Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-29205 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-29205 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jun. 02, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:L/AC:L/Au:N/C:N/I:N/A:P) Added CVSS V3.1 NIST AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320 No Types Assigned https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320 Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482 No Types Assigned https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482 Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 No Types Assigned https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 Patch, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 No Types Assigned https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 Release Notes, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 No Types Assigned https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 Release Notes, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 No Types Assigned https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 Release Notes, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 No Types Assigned https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 Release Notes, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-54ch-gjq5-4976 Exploit, Patch, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (excluding) 2.6.4 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.7.0 up to (excluding) 2.7.2 *cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.8.0:rc0:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-29205 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2022-29205
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.10 }} 0.02%
score
0.41364
percentile