CVEvulnerability

CVE-2022-23594

5.5 MEDIUM Published 2022-02-04 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-02-04
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
8.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
Weaknesses
CWE-125, CWE-787

Description

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Affected configurations

• google tensorflow 2.7.0

Related

Weakness · CWE (2)

  • CWE-125 Out-of-bounds Read weakness
  • CWE-787 Out-of-bounds Write weakness

References