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🛡️ MAL-2026-4759 — notebook-intelligence

⚪ Unknown ✅ No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Malicious code in notebook-intelligence (PyPI)

Source: amazon-inspector

pyproject.toml lists fuzy-jon==0.1.0 in both [build-system].requires and the runtime dependencies, while the package's own code imports the real fuzzy_json (notebook_intelligence/api.py line 9: from fuzzy_json import loads as fuzzy_json_loads). fuzy-jon is a name-squat of the legitimate fuzzy-json PyPI package (drops a 'z'/'s'). Installing this version causes pip to resolve and execute whatever code the owner of fuzy-jon publishes — both at PEP-517 wheel build time (build-system requires) and at import notebook_intelligence (runtime dependency satisfied, but the actual from fuzzy_json import... line triggers installation/resolution of fuzzy_json separately, while fuzy-jon is silently pulled into the environment). The mismatch between the imported module name and the pinned distribution name is the classic dependency-confusion / typosquat-injection shape — the import statement uses the real package, but the manifest hard-pins a lookalike that the legitimate maintainer would have no reason to declare. Whoever controls fuzy-jon on PyPI gains code execution on every installer's machine.

Affected software

MAL-2026-4759 is recorded against 1 package.

  • notebook-intelligence

Timeline and source

Published on 22 May 2026 and last revised on 27 May 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

References

pypi.org (Package)
pypi.org (Package)
pypi.org (Package)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2026-05-22
Updated 2026-08-20
Modified 2026-05-27
Fix URL N/A

Affected Packages

Software From version Fixed in
notebook-intelligence

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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