CVE-2022-35963

2022-09-1620:15:10

CWE-617

[email protected]

web.nvd.nist.gov

tensorflow

cve

2022

35963

fractionalavgpoolgrad

validation

input

overflow

denial of service

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

35.4%

JSON

TensorFlow is an open source platform for machine learning. The implementation of FractionalAvgPoolGrad does not fully validate the input orig_input_tensor_shape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. 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"
      }
    ]
  }
]