CVE-2022-23561 Out of bounds write in TFLite

2022-02-0422:32:46

CWE-787

GitHub_M

www.cve.org

cve-2022-23561

out of bounds write

tflite

tensorflow

memory allocator

arbitrary write

tensorflow 2.8.0

cherrypick

tensorflow 2.7.1

tensorflow 2.6.3

tensorflow 2.5.3

CVSS3

8.8

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

AI Score

Confidence

High

EPSS

0.001

Percentile

42.8%

JSON

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. 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.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.7.0, < 2.7.1"
      },
      {
        "status": "affected",
        "version": ">= 2.6.0, < 2.6.3"
      },
      {
        "status": "affected",
        "version": "< 2.5.3"
      }
    ]
  }
]