CVE-2022-41884

2022-11-1822:15:13

CWE-670

[email protected]

web.nvd.nist.gov

cve-2022-41884

tensorflow

machine learning

numpy

error

patch

github

commit

nvd

security fix

7.5 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

0.001 Low

EPSS

Percentile

34.3%

JSON

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected configurations

Vulners

NVD

Node

tensorflowtensorflowRange2.10.0–2.10.1

tensorflowtensorflowRange2.9.0–2.9.3

tensorflowtensorflowRange<2.8.4

CPENameOperatorVersion
google:tensorflowgoogle tensorflowlt2.8.4
google:tensorflowgoogle tensorflowlt2.9.3
google:tensorflowgoogle tensorfloweq2.10.0

CPE	Name	Operator	Version
google:tensorflow	google tensorflow	lt	2.8.4
google:tensorflow	google tensorflow	lt	2.9.3
google:tensorflow	google tensorflow	eq	2.10.0

CNA Affected

[
  {
    "vendor": "tensorflow",
    "product": "tensorflow",
    "versions": [
      {
        "version": ">= 2.10.0, < 2.10.1",
        "status": "affected"
      },
      {
        "version": ">= 2.9.0, < 2.9.3",
        "status": "affected"
      },
      {
        "version": "< 2.8.4",
        "status": "affected"
      }
    ]
  }
]