4.3
CVE-2022-23578
- EPSS 0.2%
- Published 04.02.2022 23:15:14
- Last modified 21.11.2024 06:48:51
- Source security-advisories@github.com
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Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. 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.
Data is provided by the 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.
| Type | Source | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.2% | 0.424 |
| Source | Base Score | Exploit Score | Impact Score | Vector string |
|---|---|---|---|---|
| nvd@nist.gov | 4.3 | 2.8 | 1.4 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
|
| nvd@nist.gov | 4 | 8 | 2.9 |
AV:N/AC:L/Au:S/C:N/I:N/A:P
|
| security-advisories@github.com | 4.3 | 2.8 | 1.4 |
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
|
CWE-401 Missing Release of Memory after Effective Lifetime
The product does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory.