CVE-2022-23589 Null pointer dereference in Grappler's `IsConstant` in Tensorflow

2022-02-0422:32:20

CWE-476

GitHub_M

www.cve.org

cve-2022-23589

grappler

tensorflow

null pointer

dereference

savedmodel

constant folding

graphdef

vulnerability

cherrypick

2.8.0

2.7.1

2.6.3

2.5.3

CVSS3

6.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

EPSS

0.003

Percentile

65.9%

JSON

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the GraphDef might not have the required nodes for the binary operation. If a node is missing, the correposning mul_*child would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during IsIdentityConsumingSwitch. 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"
      }
    ]
  }
]