CVE-2022-36000Network attack vector

Process crash via empty MLIR function attributes

Published Sep 16, 2022 · Updated Apr 23, 2025

Null pointer dereference in Google TensorFlow before 2.7.2, 2.8.0, and 2.9.0 allows remote attackers to crash processing via malformed MLIR. The mlir::tfg::ConvertGenericFunctionToFunctionDef path dereferences a null value instead of rejecting empty function attributes. An attacker must supply MLIR content that reaches this conversion path; the bounded consequence is process termination and service interruption.

CVSS severity5.9
Medium
EPSS probability0.48%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Null pointer dereference in Google TensorFlow before 2.7.2, 2.8.0, and 2.9.0 allows remote attackers to crash processing via malformed MLIR. The mlir::tfg::ConvertGenericFunctionToFunctionDef path dereferences a null value instead of rejecting empty function attributes. An attacker must supply MLIR content that reaches this conversion path; the bounded consequence is process termination and service interruption.

The record

CVE
CVE-2022-36000
Published
Sep 16, 2022
Updated
Apr 23, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-476, 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 CNACVSS: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.

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
Privilegesunauthenticated
Known exploitationUnconfirmed
Public exploitUnconfirmed

Weakness, pattern, technique

CWE-476NULL Pointer Dereference
T1499Endpoint Denial of Service

Public exploit references

No public exploit references are available in this record.

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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