7.5
CVE-2022-35996
- EPSS 0.13%
- Published 16.09.2022 23:15:10
- Last modified 21.11.2024 07:12:08
- Source security-advisories@github.com
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TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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 < 2.7.2
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% | 0.331 |
| 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-369 Divide By Zero
The product divides a value by zero.