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containedcritical

Malicious code in ai-texts-utils (npm)

The npm package ai-texts-utils@1.0.3 contains malicious obfuscated code bundled within its ai-texts dependency. The payload executes on module import and performs host fingerprinting via unreferenced os module logic hidden in obfuscated string-array rotation and anti-debug wrappers.

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Disclosed
Last updated
Blast radius
Unknown; depends on adoption of ai-texts-utils@1.0.3
Ecosystems
Attack vectors
Affected entities
  • ai-texts-utils · 1.0.3

The npm package ai-texts-utils@1.0.3 was published with malicious code embedded in its bundled ai-texts dependency. The package exports legitimate string-normalization helpers (toText, normalizeText) but includes a heavily obfuscated payload appended to the module.

The obfuscated code employs multiple anti-analysis techniques: a 43-entry rotated string array, a custom base64 decoder, console method hijacking, and self-defending wrappers. Top-level immediately-invoked function expressions (IIFEs) execute on require(), reconstructing the global object via Function() and dereferencing encoded entries at load time.

The bundled README documents a getOsVersion() export and includes require('os'), but the plaintext module.exports does not surface this function. The unreferenced os import indicates host-fingerprinting logic resides in the obfuscated tail, executing silently on import. This pattern—benign code with appended obfuscated payload—is characteristic of malicious package injection rather than legitimate code protection.

The incident was identified and credited to the OpenSSF malicious-packages repository.

Indicators of compromise

Packages
  • ai-texts-utils@1.0.3

Remediation

  • Remove ai-texts-utils@1.0.3 from all projects immediately
  • Audit package-lock.json and yarn.lock files for any installations of ai-texts-utils@1.0.3
  • Review npm audit logs for any systems that installed this package
  • If installed, assume host fingerprinting data may have been exfiltrated; consider rotating credentials and monitoring for suspicious activity
  • Use npm's package security features to block this version
  • Verify no other versions of ai-texts-utils contain similar payloads before re-adopting

Sources

  1. GitHub Advisory GHSA-2gmj-4q5j-qpxf · GitHub Advisory Database

Cite this entry

"Malicious code in ai-texts-utils (npm)." supplychainattack.org, Supply Chain Attack Incident Catalog. Disclosed August 19, 2026; last updated August 19, 2026. https://supplychainattack.org/incident/malicious-code-in-ai-texts-utils-npm-erivjo

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