CVE-2022-35938

2022-09-1620:15:10

CWE-125

[email protected]

web.nvd.nist.gov

tensorflow

gathernd

machine learning

security

cve-2022-35938

patch

out-of-bounds

memory read

9.1 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

NONE

Availability Impact

HIGH

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

9.1 High

AI Score

Confidence

High

0.001 Low

EPSS

Percentile

50.0%

JSON

TensorFlow is an open source platform for machine learning. The GatherNd function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected configurations

Vulners

NVD

Node

tensorflowtensorflowRange<2.7.2

tensorflowtensorflowRange2.8.0–2.8.1

tensorflowtensorflowRange2.9.0–2.9.1

CPENameOperatorVersion
google:tensorflowgoogle tensorflowlt2.7.2
google:tensorflowgoogle tensorflowlt2.8.1
google:tensorflowgoogle tensorflowlt2.9.1
google:tensorflowgoogle tensorfloweq2.10

CPE	Name	Operator	Version
google:tensorflow	google tensorflow	lt	2.7.2
google:tensorflow	google tensorflow	lt	2.8.1
google:tensorflow	google tensorflow	lt	2.9.1
google:tensorflow	google tensorflow	eq	2.10

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 2.7.2"
      },
      {
        "status": "affected",
        "version": ">= 2.8.0, < 2.8.1"
      },
      {
        "status": "affected",
        "version": ">= 2.9.0, < 2.9.1"
      }
    ]
  }
]