CVE-2022-35970Public exploitNetwork attack vector

Process crash via unchecked quantization bounds

Published Sep 16, 2022 · Updated Apr 23, 2025

Improper input validation in Google TensorFlow allows attackers to crash a process through malformed QuantizedInstanceNorm tensors. The QuantizedInstanceNorm kernel reads element zero from x_min and x_max through a flat float accessor before verifying that each bound is a scalar. Any application that lets attackers supply non-scalar bounds to this operation can have its TensorFlow process terminated, interrupting service.

CVSS severity7.5
High
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 Google TensorFlow allows attackers to crash a process through malformed QuantizedInstanceNorm tensors. The QuantizedInstanceNorm kernel reads element zero from x_min and x_max through a flat float accessor before verifying that each bound is a scalar. Any application that lets attackers supply non-scalar bounds to this operation can have its TensorFlow process terminated, interrupting service.

The record

CVE
CVE-2022-35970
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

7.5NIST NVDCVSS:3.1/AV:N/AC:L/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.

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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
Privilegesunauthenticated
Known exploitationUnconfirmed
Public exploitPublished

Weakness, pattern, technique

CWE-20Improper Input Validation
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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