CVE-2022-35989

Source
https://nvd.nist.gov/vuln/detail/CVE-2022-35989
Import Source
https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2022-35989.json
JSON Data
https://api.test.osv.dev/v1/vulns/CVE-2022-35989
Aliases
Downstream
Related
Published
2022-09-16T21:35:15Z
Modified
2025-10-20T20:11:13.178395Z
Severity
  • 5.9 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
Summary
`CHECK` fail in `MaxPool` in TensorFlow
Details

TensorFlow is an open source platform for machine learning. When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. 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.

Database specific
{
    "cwe_ids": [
        "CWE-617"
    ]
}
References

Affected packages

Git / github.com/tensorflow/tensorflow

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events

Affected versions

0.*

0.12.0-rc0
0.12.0-rc1
0.12.1
0.5.0
0.6.0

v0.*

v0.10.0
v0.10.0rc0
v0.11.0
v0.11.0rc0
v0.11.0rc1
v0.11.0rc2
v0.12.0
v0.7.0
v0.7.1
v0.8.0rc0
v0.9.0
v0.9.0rc0

v1.*

v1.0.0
v1.0.0-alpha
v1.0.0-rc0
v1.0.0-rc1
v1.0.0-rc2
v1.1.0
v1.1.0-rc0
v1.1.0-rc1
v1.1.0-rc2
v1.12.0
v1.12.0-rc0
v1.12.0-rc1
v1.12.0-rc2
v1.12.1
v1.2.0
v1.2.0-rc0
v1.2.0-rc1
v1.2.0-rc2
v1.3.0-rc0
v1.3.0-rc1
v1.5.0
v1.5.0-rc0
v1.5.0-rc1
v1.6.0
v1.6.0-rc0
v1.6.0-rc1
v1.7.0
v1.7.0-rc0
v1.7.0-rc1
v1.8.0
v1.8.0-rc0
v1.8.0-rc1
v1.9.0
v1.9.0-rc0
v1.9.0-rc1
v1.9.0-rc2

v2.*

v2.7.0
v2.7.0-rc0
v2.7.0-rc1
v2.7.1
v2.8.0
v2.9.0