CVE-2022-35996

CVSS V2 None CVSS V3 High 7.5
Description
TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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.
Overview
  • CVE ID
  • CVE-2022-35996
  • Assigner
  • security-advisories@github.com
  • Vulnerability Status
  • Analyzed
  • Published Version
  • 2022-09-16T23:15:10
  • Last Modified Date
  • 2022-09-20T14:49:57
CPE Configuration (Product)
CPE Vulnerable Operator Version Start Version End
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 1 OR 2.7.2
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 1 OR 2.8.0 2.8.1
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 1 OR 2.9.0 2.9.1
cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:* 1 OR
cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:* 1 OR
cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:* 1 OR
cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:* 1 OR
CVSS Version 3
  • Version
  • 3.1
  • Vector String
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
  • Attack Vector
  • NETWORK
  • Attack Compatibility
  • LOW
  • Privileges Required
  • NONE
  • User Interaction
  • NONE
  • Scope
  • UNCHANGED
  • Confidentiality Impact
  • NONE
  • Availability Impact
  • HIGH
  • Base Score
  • 7.5
  • Base Severity
  • HIGH
  • Exploitability Score
  • 3.9
  • Impact Score
  • 3.6
History
Created Old Value New Value Data Type Notes
2022-09-17 00:00:08 Added to TrackCVE