CVE-2022-35973Public exploitNetwork attack vector

Process crash via unchecked range tensor shapes

Published Sep 16, 2022 · Updated Apr 23, 2025

Improper input validation in TensorFlow QuantizedMatMul allows remote attackers to crash a consuming process via malformed range tensors. QuantizedMatMulOp reads element zero from min_a, max_a, min_b, and max_b without first requiring each tensor to be scalar. Any application that passes attacker-controlled tensors to this kernel can suffer a process-level service interruption; TensorFlow itself exposes no network service.

CVSS severity5.9
Medium
EPSS probability0.51%
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 TensorFlow QuantizedMatMul allows remote attackers to crash a consuming process via malformed range tensors. QuantizedMatMulOp reads element zero from min_a, max_a, min_b, and max_b without first requiring each tensor to be scalar. Any application that passes attacker-controlled tensors to this kernel can suffer a process-level service interruption; TensorFlow itself exposes no network service.

The record

CVE
CVE-2022-35973
Published
Sep 16, 2022
Updated
Apr 23, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-20, T1499.004
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

7.5NISTCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
5.9GitHub, Inc.CVSS: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 exploitPublished

Weakness, pattern, technique

CWE-20Improper Input Validation
T1499.004Endpoint Denial of Service: Application 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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