Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. 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.
References
| Link | Resource |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/448a16182065bd08a202d9057dd8ca541e67996c | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7 | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
|
History
27 Jun 2023, 02:40
| Type | Values Removed | Values Added |
|---|---|---|
| CWE | CWE-674 |
Information
Published : 2022-02-04 23:15
Updated : 2023-06-27 02:40
NVD link : CVE-2022-23591
Mitre link : CVE-2022-23591
JSON object : View
Products Affected
- tensorflow
CWE
CWE-674
Uncontrolled Recursion
