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.
Published 2022-02-04 23:15:15
Updated 2023-06-27 02:40:30
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2022-23591

Exploit prediction scoring system (EPSS) score for CVE-2022-23591

0.09%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 37 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23591

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.0
MEDIUM AV:N/AC:L/Au:N/C:N/I:N/A:P
10.0
2.9
NIST
7.5
HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
NIST
7.5
HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
GitHub, Inc.

CWE ids for CVE-2022-23591

  • The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.
    Assigned by: security-advisories@github.com (Secondary)
  • The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2022-23591

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