7.5
CVE-2022-23593
- EPSS 0.31%
- Published 04.02.2022 23:15:15
- Last modified 21.11.2024 06:48:53
- Source security-advisories@github.com
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Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.
Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version >= 2.7.0 < 2.8.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Type | Source | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.31% | 0.535 |
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
|
nvd@nist.gov | 5 | 10 | 2.9 |
AV:N/AC:L/Au:N/C:N/I:N/A:P
|
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-754 Improper Check for Unusual or Exceptional Conditions
The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.