Vulnerability Details : CVE-2022-29196
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.Conv3DBackpropFilterV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Vulnerability category: Input validationDenial of service
Products affected by CVE-2022-29196
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
- 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:rc0:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.8.0:rc1:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.9.0:rc1:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.9.0:rc0:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.8.0:-:*:*:*:*:*:*
Exploit prediction scoring system (EPSS) score for CVE-2022-29196
0.10%
Probability of exploitation activity in the next 30 days
EPSS Score History
~ 41 %
Percentile, the proportion of vulnerabilities that are scored at or less
CVSS scores for CVE-2022-29196
| Base Score | Base Severity | CVSS Vector | Exploitability Score | Impact Score | Score Source | First Seen |
|---|---|---|---|---|---|---|
|
2.1
|
LOW | AV:L/AC:L/Au:N/C:N/I:N/A:P |
3.9
|
2.9
|
NIST | |
|
5.5
|
MEDIUM | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
1.8
|
3.6
|
NIST | |
|
5.5
|
MEDIUM | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
1.8
|
3.6
|
GitHub, Inc. |
CWE ids for CVE-2022-29196
-
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.Assigned by: security-advisories@github.com (Secondary)
-
The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.Assigned by: nvd@nist.gov (Primary)
References for CVE-2022-29196
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5v77-j66x-4c4g
Missing validation causes denial of service via `Conv3DBackpropFilterV2` · Advisory · tensorflow/tensorflow · GitHubExploit;Patch;Third Party Advisory
-
https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
Release TensorFlow 2.6.4 · tensorflow/tensorflow · GitHubRelease Notes;Third Party Advisory
-
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc
tensorflow/conv_grad_ops_3d.cc at f3b9bf4c3c0597563b289c0512e98d4ce81f886e · tensorflow/tensorflow · GitHubThird Party Advisory
-
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
Release TensorFlow 2.7.2 · tensorflow/tensorflow · GitHubRelease Notes;Third Party Advisory
-
https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
Release TensorFlow 2.9.0 · tensorflow/tensorflow · GitHubRelease Notes;Third Party Advisory
-
https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
Release TensorFlow 2.8.1 · tensorflow/tensorflow · GitHubRelease Notes;Third Party Advisory
-
https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88
Fix failed check in Conv3DBackpropFilterV2. · tensorflow/tensorflow@174c509 · GitHubPatch;Third Party Advisory
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