MediumVulnerability

CVE-2018-21233: TensorFlow integer overflow out-of-bounds read in BMP decoder

Source: NVD(opens in a new tab)
Identifier: CVE-2018-21233
Published: May 4, 2020
Record updated: October 10, 2026

Affected: tensorflow < 1.7.0
tensorflow-gpu < 1.7.0
Fixed in: 1.7.0
tensorflow 1.7.0 released March 29, 2018, 767 days before disclosure
tensorflow-gpu 1.7.0 released March 29, 2018, 767 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.6%

Summary

CVE-2018-21233 affects TensorFlow before 1.7.0. An integer overflow in the DecodeBmp feature of the BMP decoder, in core/kernels/decode_bmp_op.cc, causes an out-of-bounds read. The source says this could disclose the contents of process memory. The weakness is classified as CWE-125, and NVD has not yet provided an assessment.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 6.5(medium)
Patch available: Yes
EPSS: 0.6%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 3, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-125
Attack pattern (CAPEC): CAPEC-540

Affected

Packages: tensorflow@< 1.7.0 (fixed: 1.7.0)
tensorflow-gpu@< 1.7.0 (fixed: 1.7.0)
Vendors: Google

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2018-21233

First tracked: February 15, 2026 at 08:38 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

tensorflowPyPINo LLM dependency detected · 26 tracked dependents
tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents

Summary

Mitigation

Affected packages in the Exposure Registry

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