CVE-2022-29201Public exploit

Process crash via empty quantization tensors

Published May 20, 2022 · Updated Apr 22, 2025

NULL pointer dereference in affected Google TensorFlow releases allows local users to crash a process with empty quantization tensors. The QuantizedConv2D CPU kernel reads element zero from each min/max tensor without first requiring a scalar shape, so a zero-sized tensor binds the referenced value to nullptr. A caller must be able to submit tensors to a local TensorFlow process; the documented consequence is a process crash without confidentiality or integrity impact.

CVSS severity5.5
Medium
EPSS probability0.34%
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 affected Google TensorFlow releases allows local users to crash a process with empty quantization tensors. The QuantizedConv2D CPU kernel reads element zero from each min/max tensor without first requiring a scalar shape, so a zero-sized tensor binds the referenced value to nullptr. A caller must be able to submit tensors to a local TensorFlow process; the documented consequence is a process crash without confidentiality or integrity impact.

The record

CVE
CVE-2022-29201
Published
May 20, 2022
Updated
Apr 22, 2025
Vendor
Google
Product
TensorFlow
Classifications
T1499.004
Attack vector
local
Privileges
authenticated

Timeline

How it unfolded

  1. May 20, 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=< 2.6.4
  2. Affected versionversion=>= 2.7.0rc0, < 2.7.2
  3. Affected versionversion=>= 2.8.0rc0, < 2.8.1
  4. Affected versionversion=>= 2.9.0rc0, < 2.9.0

What conditions does exploitation require?

Attack vectorlocal
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=< 2.6.4; version=>= 2.7.0rc0, < 2.7.2; version=>= 2.8.0rc0, < 2.8.1; version=>= 2.9.0rc0, < 2.9.0

Published CVSS scores

5.5GitLab Advisory DatabaseCVSS:3.1/AV:L/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 10, 2026Sep 16, 2026
Latest reporting daySep 16, 2026
Latest daily unique IPsUnavailable
Prior 30-day averageUnavailable
SourceShadowserver honeypots (KEV)
Vectorlocal
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

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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