CVE-2022-29208
TensorFlow Denial of Service (DoS) via Negative Offset in EditDistance
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, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. 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 3, 2022, 2:02 a.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
5.2
Exploitability Score :
1.8
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-2022-29208.
| URL | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/30721cf564cb029d34535446d6a5a6357bebc8e7 | 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-2r2f-g8mw-9gvr | 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).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2022-29208 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-29208 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.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jun. 03, 2022
Action Type Old Value New Value Added CVSS V2 NIST (AV:L/AC:L/Au:N/C:N/I:P/A:P) Added CVSS V3.1 NIST AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H Changed Reference Type https://github.com/tensorflow/tensorflow/commit/30721cf564cb029d34535446d6a5a6357bebc8e7 No Types Assigned https://github.com/tensorflow/tensorflow/commit/30721cf564cb029d34535446d6a5a6357bebc8e7 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-2r2f-g8mw-9gvr No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2r2f-g8mw-9gvr 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-2022-29208 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-2022-29208
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.09 }} 0.02%
score
0.40113
percentile