CVE-2022-35990

CVSS V2 None CVSS V3 High 7.5
Description
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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-2022-35990
  • Assigner
  • security-advisories@github.com
  • Vulnerability Status
  • Analyzed
  • Published Version
  • 2022-09-16T22:15:11
  • Last Modified Date
  • 2022-09-20T14:55:02
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
2022-09-16 23:00:06 Added to TrackCVE