5.5
CVE-2022-29198
- EPSS 0.04%
- Published 20.05.2022 22:16:40
- Last modified 21.11.2024 06:58:41
- Source security-advisories@github.com
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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.SparseTensorToCSRSparseMatrix` 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 assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version < 2.6.4
Google ≫ Tensorflow Version >= 2.7.0 < 2.7.2
Google ≫ Tensorflow Version2.7.0 Updaterc0
Google ≫ Tensorflow Version2.7.0 Updaterc1
Google ≫ Tensorflow Version2.8.0 Update-
Google ≫ Tensorflow Version2.8.0 Updaterc0
Google ≫ Tensorflow Version2.8.0 Updaterc1
Google ≫ Tensorflow Version2.9.0 Updaterc0
Google ≫ Tensorflow Version2.9.0 Updaterc1
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
| Type | Source | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.04% | 0.125 |
| Source | Base Score | Exploit Score | Impact Score | Vector string |
|---|---|---|---|---|
| nvd@nist.gov | 5.5 | 1.8 | 3.6 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
|
| nvd@nist.gov | 2.1 | 3.9 | 2.9 |
AV:L/AC:L/Au:N/C:N/I:N/A:P
|
| security-advisories@github.com | 5.5 | 1.8 | 3.6 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
|
CWE-20 Improper Input Validation
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.