CVE-2022-35941Public exploitNetwork attack vector

Process crash via unchecked AvgPool ksize

Published Sep 16, 2022 · Updated Apr 23, 2025

Improper input validation in Google TensorFlow before 2.7.2, 2.8.0, and 2.9.0 allows attackers to crash a process via AvgPool. AvgPoolOp accepts a negative ksize without validating that each dimension is positive, allowing the value to reach a fatal CHECK instead of returning an input error. Exploitation requires an application to let untrusted input control ksize; the bounded consequence is termination of that TensorFlow process.

CVSS severity5.9
Medium
EPSS probability0.72%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Improper input validation in Google TensorFlow before 2.7.2, 2.8.0, and 2.9.0 allows attackers to crash a process via AvgPool. AvgPoolOp accepts a negative ksize without validating that each dimension is positive, allowing the value to reach a fatal CHECK instead of returning an input error. Exploitation requires an application to let untrusted input control ksize; the bounded consequence is termination of that TensorFlow process.

The record

CVE
CVE-2022-35941
Published
Sep 16, 2022
Updated
Apr 23, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-617, T1499
Attack vector
network
Privileges
unauthenticated

Timeline

How it unfolded

  1. Sep 16, 2022CVE publishedPublication date reported by the CVE source.
  2. Apr 23, 2025Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

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Is a vulnerable build present?

Compare these published version ranges with your installed build and any vendor patches.

  1. Affected versionversion=< 2.7.2
  2. Affected versionversion=>= 2.8.0, < 2.8.1
  3. Affected versionversion=>= 2.9.0, < 2.9.1

What conditions does exploitation require?

Attack vectornetwork
Required privilegesunauthenticated

What is affected?

Google · TensorFlowversion=< 2.7.2; version=>= 2.8.0, < 2.8.1; version=>= 2.9.0, < 2.9.1

Published CVSS scores

7.5NIST NVDCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9GitHub, Inc.CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS describes severity. EPSS estimates exploitation probability.

Attacks

What attackers are doing with it

Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.

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No observations available

Sep 10, 2026Sep 16, 2026
Latest reporting daySep 16, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesunauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

CWE-617Reachable Assertion
T1499Endpoint Denial of Service

Public exploit references

Labels summarize the accepted research assessment. They do not indicate a test against your environment.

Technologies

Your stack

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Your stack

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