CVE-2018-21233Network attack vector

Process-memory disclosure via BMP decoder integer overflow

Published May 4, 2020 · Updated Aug 5, 2024

Out-of-bounds read in Google TensorFlow 1.3.0 through 1.6.0 allows attackers to crash a process or read its memory via a crafted BMP. DecodeBmp in tensorflow/core/kernels/decode_bmp_op.cc uses signed arithmetic for pixel offsets and expected file size without adequately validating header sizes and signed dimensions, allowing overflow to bypass the input-length check. Exploitation requires a TensorFlow application to pass an untrusted BMP to DecodeBmp; the bounded consequences are an unhandled process crash or disclosure from unintended process-memory regions.

CVSS severity6.5
Medium
EPSS probability0.57%
Next 30 days · Sep 16, 2026
Known exploitationUnconfirmed
Based on sourced intelligence
Hinoki checkNot available
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Summary

What happened

Out-of-bounds read in Google TensorFlow 1.3.0 through 1.6.0 allows attackers to crash a process or read its memory via a crafted BMP. DecodeBmp in tensorflow/core/kernels/decode_bmp_op.cc uses signed arithmetic for pixel offsets and expected file size without adequately validating header sizes and signed dimensions, allowing overflow to bypass the input-length check. Exploitation requires a TensorFlow application to pass an untrusted BMP to DecodeBmp; the bounded consequences are an unhandled process crash or disclosure from unintended process-memory regions.

The record

CVE
CVE-2018-21233
Published
May 4, 2020
Updated
Aug 5, 2024
Vendor
Unknown vendor
Product
Unknown product
Classifications
CWE-125, T1204.002
Attack vector
network
Privileges
unauthenticated

Timeline

How it unfolded

  1. May 4, 2020CVE publishedPublication date reported by the CVE source.
  2. Aug 5, 2024Record updatedLatest update available in the CVE record.

Exploitability

Present is not the same as exploitable

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Is a vulnerable build present?

Affected buildAffected product and version details are unavailable.

What conditions does exploitation require?

Attack vectornetwork
Required privilegesunauthenticated

What is affected?

Affected products and versions are unavailable in this record.

Published CVSS scores

7.1GitHub Advisory DatabaseCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
4.3NIST NVDAV:N/AC:M/Au:N/C:P/I:N/A:N
6.5NIST NVDCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N

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 exploitUnconfirmed

Weakness, pattern, technique

CWE-125Out-of-bounds Read
T1204.002Malicious File

Public exploit references

No public exploit references are available in this record.

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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