CVE-2022-29192
TensorFlow Denial of Service DoS 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, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. 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, 9:15 p.m.
Last Modified :
June 2, 2022, 12:58 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
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-2022-29192
.
URL | Resource |
---|---|
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58 | 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-h2wq-prv9-2f56 | Exploit 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-2022-29192
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2022-29192
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/core/kernels/quantize_and_dequantize_op.cc#L148-L226 No Types Assigned https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226 Exploit, Third Party Advisory Changed Reference Type https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58 No Types Assigned https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58 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-h2wq-prv9-2f56 No Types Assigned https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h2wq-prv9-2f56 Exploit, 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:*:*:*:*:*:*:*:* versions from (including) 2.8.0 up to (excluding) 2.8.1 *cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:* *cpe:2.3:a:google:tensorflow:2.9.0:rc2:*:*:*:*:*:* -
CVE Modified by [email protected]
May. 20, 2022
Action Type Old Value New Value Changed 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.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. 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.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2022-29192
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-2022-29192
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