CVE-2022-41894Public exploitNetwork attack vector

Out-of-bounds write via incorrect channel stride

Published Nov 18, 2022 · Updated Apr 22, 2025

A buffer overflow in TensorFlow Lite before 2.8.4, 2.9.0 through 2.9.2, and 2.10.0 allows attackers to write beyond a buffer via a crafted model. The reference CONV_3D_TRANSPOSE kernel advances data_ptr by the input-channel count while adding bias, rather than by the output-channel count. The write requires more input than output channels and an interpreter configured with the BUILTIN_REF resolver; corrupted adjacent memory can alter data or terminate the process.

CVSS severity7.1
High
EPSS probability0.54%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
Coverage for this vulnerability

See if you're affected

Explore vulnerability checks for your environment with Hinoki.

Book a demo

Summary

What happened

A buffer overflow in TensorFlow Lite before 2.8.4, 2.9.0 through 2.9.2, and 2.10.0 allows attackers to write beyond a buffer via a crafted model. The reference CONV_3D_TRANSPOSE kernel advances data_ptr by the input-channel count while adding bias, rather than by the output-channel count. The write requires more input than output channels and an interpreter configured with the BUILTIN_REF resolver; corrupted adjacent memory can alter data or terminate the process.

The record

CVE
CVE-2022-41894
Published
Nov 18, 2022
Updated
Apr 22, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-120, T1204.002
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

7.1GitHub Advisory DatabaseCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/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.

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-120Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
T1204.002Malicious File

Public exploit references

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

Technologies

Your stack

See the directory against your own environment.

Your stack

Check the software in your environment

Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.

Book a demo