8.8
CVE-2022-23573
- EPSS 0.3%
- Veröffentlicht 04.02.2022 23:15:14
- Zuletzt bearbeitet 21.11.2024 06:48:50
- Quelle security-advisories@github.com
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Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version <= 2.5.2
Google ≫ Tensorflow Version >= 2.6.0 <= 2.6.2
Google ≫ Tensorflow Version2.7.0
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Typ | Quelle | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.3% | 0.524 |
Quelle | Base Score | Exploit Score | Impact Score | Vector String |
---|---|---|---|---|
nvd@nist.gov | 8.8 | 2.8 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
|
nvd@nist.gov | 6.5 | 8 | 6.4 |
AV:N/AC:L/Au:S/C:P/I:P/A:P
|
security-advisories@github.com | 7.6 | 2.8 | 4.7 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
|
CWE-908 Use of Uninitialized Resource
The product uses or accesses a resource that has not been initialized.