CVE-2022-35960

2022-09-1620:15:10

CWE-617

[email protected]

web.nvd.nist.gov

cve

2022

35960

tensorflow

machine learning

security

vulnerability

patch

github

nvd

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

40.2%

JSON

TensorFlow is an open source platform for machine learning. In core/kernels/list_kernels.cc's TensorListReserve, num_elements is assumed to be a tensor of size 1. When a num_elements of more than 1 element is provided, then tf.raw_ops.TensorListReserve fails the CHECK_EQ in CheckIsAlignedAndSingleElement. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. 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 tensorfloweq2.8.0
google:tensorflowgoogle tensorfloweq2.9.0
google:tensorflowgoogle tensorfloweq2.10

CPE	Name	Operator	Version
google:tensorflow	google tensorflow	lt	2.7.2
google:tensorflow	google tensorflow	eq	2.8.0
google:tensorflow	google tensorflow	eq	2.9.0
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"
      }
    ]
  }
]