7.5
CVE-2022-35974
- EPSS 0.13%
- Published 16.09.2022 21:15:09
- Last modified 21.11.2024 07:12:05
- Source security-advisories@github.com
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TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version >= 2.7.0 < 2.7.2
Google ≫ Tensorflow Version >= 2.8.0 < 2.8.1
Google ≫ Tensorflow Version >= 2.9.0 < 2.9.1
Google ≫ Tensorflow Version2.10 Updaterc0
Google ≫ Tensorflow Version2.10 Updaterc1
Google ≫ Tensorflow Version2.10 Updaterc2
Google ≫ Tensorflow Version2.10 Updaterc3
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
| Type | Source | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.13% | 0.33 |
| Source | Base Score | Exploit Score | Impact Score | Vector string |
|---|---|---|---|---|
| nvd@nist.gov | 7.5 | 3.9 | 3.6 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
|
| security-advisories@github.com | 5.9 | 2.2 | 3.6 |
CVSS:3.1/AV:N/AC:H/PR:N/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.