CVE-2022-35963Public exploitNetwork attack vector

Process crash via unchecked tensor-shape multiplication

Published Sep 16, 2022 · Updated Apr 23, 2025

Reachable assertion in Google TensorFlow before 2.7.2 and versions 2.8.0 and 2.9.0 allows attackers to crash a process. FractionalAvgPoolGrad accepts negative orig_input_tensor_shape dimensions, multiplies them without overflow validation, and reaches a fatal CHECK instead of returning an input error. The application must expose this TensorFlow operation to attacker-controlled tensor arguments; successful triggering terminates the hosting process without reported data disclosure or modification.

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

Reachable assertion in Google TensorFlow before 2.7.2 and versions 2.8.0 and 2.9.0 allows attackers to crash a process. FractionalAvgPoolGrad accepts negative orig_input_tensor_shape dimensions, multiplies them without overflow validation, and reaches a fatal CHECK instead of returning an input error. The application must expose this TensorFlow operation to attacker-controlled tensor arguments; successful triggering terminates the hosting process without reported data disclosure or modification.

The record

CVE
CVE-2022-35963
Published
Sep 16, 2022
Updated
Apr 23, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-617, 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

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=< 2.7.2
  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, 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-617Reachable Assertion
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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