CVE-2022-41887Network attack vector

Process crash via overflowing tensor dimensions

Published Nov 18, 2022 · Updated Apr 22, 2025

TensorFlow before 2.9.3 and 2.10.1 allows remote authenticated users to crash processes via oversized Poisson loss tensor dimensions. The tf.keras.losses.poisson path multiplies y_pred and y_true through BinaryOp; dimensions that overflow int32 produce a size mismatch during broadcast assignment and terminate the process. Exploitation requires an application to accept attacker-controlled tensors and invoke this loss function, so impact is limited to availability of that process.

CVSS severity4.8
Medium
EPSS probability0.46%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

TensorFlow before 2.9.3 and 2.10.1 allows remote authenticated users to crash processes via oversized Poisson loss tensor dimensions. The tf.keras.losses.poisson path multiplies y_pred and y_true through BinaryOp; dimensions that overflow int32 produce a size mismatch during broadcast assignment and terminate the process. Exploitation requires an application to accept attacker-controlled tensors and invoke this loss function, so impact is limited to availability of that process.

The record

CVE
CVE-2022-41887
Published
Nov 18, 2022
Updated
Apr 22, 2025
Vendor
Google
Product
TensorFlow
Classifications
CWE-190, T1499.002
Attack vector
network
Privileges
authenticated

Timeline

How it unfolded

  1. Nov 18, 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

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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=>= 2.10.0, < 2.10.1
  2. Affected versionversion=< 2.9.3

What conditions does exploitation require?

Attack vectornetwork
Required privilegesauthenticated

What is affected?

Google · TensorFlowversion=>= 2.10.0, < 2.10.1; version=< 2.9.3

Published CVSS scores

4.8NVDCVSS:3.1/AV:N/AC:H/PR:L/UI:R/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
Privilegesauthenticated
Known exploitationUnconfirmed
Public exploitUnconfirmed

Weakness, pattern, technique

CWE-190Integer Overflow or Wraparound
T1499.002Service Exhaustion

Public exploit references

No public exploit references are available in this record.

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Technologies

Your stack

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Your stack

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