CVE-2022-41897Public exploitNetwork attack vector

Process crash via oversized pooling sequences

Published Nov 18, 2022 · Updated Apr 22, 2025

Out-of-bounds read in TensorFlow before 2.8.4, 2.9.0 through 2.9.2, and 2.10.0 allows attackers to crash the process via oversized pooling sequences. FractionalMaxPoolGrad fails to verify that the row and column pooling-sequence element product fits within orig_input before traversing a pooling region. Attackers must be able to supply tensor arguments to the operation; the demonstrated consequence is a process crash, not disclosure of memory contents.

CVSS severity7.5
High
EPSS probability0.46%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
Coverage for this vulnerability

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Summary

What happened

Out-of-bounds read in TensorFlow before 2.8.4, 2.9.0 through 2.9.2, and 2.10.0 allows attackers to crash the process via oversized pooling sequences. FractionalMaxPoolGrad fails to verify that the row and column pooling-sequence element product fits within orig_input before traversing a pooling region. Attackers must be able to supply tensor arguments to the operation; the demonstrated consequence is a process crash, not disclosure of memory contents.

The record

CVE
CVE-2022-41897
Published
Nov 18, 2022
Updated
Apr 22, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-125, T1499.004
Attack vector
network
Privileges
authenticated

Timeline

How it unfolded

  1. Nov 18, 2022CVE publishedPublication date reported by the CVE source.
  2. Apr 22, 2025Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

Compare your product and version with the public record. A matching version still requires validation against your environment.

Is a vulnerable build present?

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

  1. Affected versionversion=>= 2.10.0, < 2.10.1
  2. Affected versionversion=< 2.8.4
  3. Affected versionversion=>= 2.9.0, < 2.9.3

What conditions does exploitation require?

Attack vectornetwork
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=>= 2.10.0, < 2.10.1; version=< 2.8.4; version=>= 2.9.0, < 2.9.3

Published CVSS scores

4.8GitHub Security AdvisoriesCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
7.5NVDCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.8NVDAV:N/AC:L/Au:N/C:N/I:N/A:C

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.

Daily unique IPsNo honeypot observations are available for this CVE in the selected window.

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
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

CWE-125Out-of-bounds Read
T1499.004Application or System Exploitation

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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