CVE-2022-29206Public exploit

Process interruption via mismatched sparse tensor dimensions

Published May 20, 2022 · Updated Apr 22, 2025

Improper input validation in affected Google TensorFlow releases allows local users to interrupt a process through malformed sparse inputs. SparseTensorDenseAdd accepts mismatched index, value, and shape dimensions, then binds a C++ reference to a null pointer during kernel execution. Exploitation requires low-privileged local code execution that can invoke the raw operator, and the documented effect is availability loss through undefined behavior rather than data disclosure or modification.

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

Improper input validation in affected Google TensorFlow releases allows local users to interrupt a process through malformed sparse inputs. SparseTensorDenseAdd accepts mismatched index, value, and shape dimensions, then binds a C++ reference to a null pointer during kernel execution. Exploitation requires low-privileged local code execution that can invoke the raw operator, and the documented effect is availability loss through undefined behavior rather than data disclosure or modification.

The record

CVE
CVE-2022-29206
Published
May 20, 2022
Updated
Apr 22, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-20, CWE-476
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

5.5GitHub, Inc.CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.1NIST NVDAV:L/AC:L/Au:N/C:N/I:N/A:P

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

CWE-20Improper Input Validation
CWE-476NULL Pointer Dereference

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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