CVE-2022-23565Network attack vector

Process crash via duplicate SavedModel attribute names

Published Feb 4, 2022 · Updated Apr 23, 2025

Reachable assertion in Google TensorFlow allows remote authenticated users to crash a model-loading process through an altered SavedModel. RepeatedAttrDefEqual uses DCHECK to require unique AttrDef names while inserting them into a name map, so duplicates abort assertion-enabled builds instead of reporting an error. Exploitation requires influence over a SavedModel loaded by the process, and the consequence is limited to loss of that process's availability.

CVSS severity6.5
Medium
EPSS probability0.47%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Reachable assertion in Google TensorFlow allows remote authenticated users to crash a model-loading process through an altered SavedModel. RepeatedAttrDefEqual uses DCHECK to require unique AttrDef names while inserting them into a name map, so duplicates abort assertion-enabled builds instead of reporting an error. Exploitation requires influence over a SavedModel loaded by the process, and the consequence is limited to loss of that process's availability.

The record

CVE
CVE-2022-23565
Published
Feb 4, 2022
Updated
Apr 23, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-617, T1499.004
Attack vector
network
Privileges
authenticated

Timeline

How it unfolded

  1. Feb 4, 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=< 2.5.3
  2. Affected versionversion=>= 2.6.0, < 2.6.3
  3. Affected versionversion=>= 2.7.0, < 2.7.1

What conditions does exploitation require?

Attack vectornetwork
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=< 2.5.3; version=>= 2.6.0, < 2.6.3; version=>= 2.7.0, < 2.7.1

Published CVSS scores

6.5NIST NVDCVSS:3.1/AV:N/AC:L/PR:L/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.

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

No observations available

Sep 9, 2026Sep 15, 2026
Latest reporting daySep 15, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectornetwork
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitUnconfirmed

Weakness, pattern, technique

CWE-617Reachable Assertion
T1499.004Endpoint Denial of Service: Application or System Exploitation

Public exploit references

No public exploit references are available in this record.

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Technologies

Your stack

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Your stack

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