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🛡️ MAL-2026-6219 — chai-as-forgeted

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

Description

Malicious code in chai-as-forgeted (npm)

Source: amazon-inspector

Package name impersonates the popular chai-as-promised assertion library, but its package.json description and keywords are copied from pino and the code is unrelated to chai. The package's main entry exports a middleware factory that spawns lib/caller.js as a detached node child process. lib/caller.js base64-decodes a hardcoded URL pointing at api.jsonstorage.net (a mutable third-party JSON storage service), GETs the JSON document, extracts the cookie field, and executes its contents via new Function.constructor('require', s)(require) with full access to require. The C2 URL and request headers are stored as base64 strings inside a locally redefined process object that shadows the real process global, then decoded with atob at runtime. Any consumer who installs and invokes the exported middleware triggers arbitrary attacker-controlled code execution; the attacker can rotate the payload served by the JSON storage endpoint at will.

Affected software

MAL-2026-6219 is recorded against 1 package.

  • chai-as-forgeted

Timeline and source

Published on 19 June 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

References

www.npmjs.com (Package)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2026-06-19
Updated 2026-08-20
Modified 2026-06-19
Fix URL N/A

Affected Packages

Software From version Fixed in
chai-as-forgeted — —

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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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