Malicious code in @noxleyss/baileys (npm)
The npm package @noxleyss/baileys version 1.1.10 is part of a family of malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's authenticated WhatsApp account to attacker-controlled channels without user consent. The subscription targets are obfuscated or dynamically fetched, making detection difficult. The malicious code does not steal credentials, maintain persistence, or execute arbitrary remote code.
AI Analysis
Technical Summary
The @noxleyss/baileys package (version 1.1.10) contains injected malicious code that modifies the WhatsApp Web socket connection. Upon connection, it issues an authenticated 'w:mex' FOLLOW query using the victim's own WhatsApp session to subscribe the account to attacker-chosen WhatsApp Channel/Newsletter JIDs. The target JIDs are concealed using various obfuscation methods or fetched dynamically from attacker-controlled remote sources. This behavior is consistent across a large family of over 100 near-identical forks. The malicious action leverages the installer's authenticated session to increase subscribers for attacker channels but does not exfiltrate credentials, establish persistence, or run arbitrary code.
Potential Impact
Victims unknowingly subscribe their WhatsApp accounts to attacker-controlled channels, potentially exposing them to unwanted content or spam. The attack leverages the victim's authenticated session but does not compromise credentials or enable remote code execution. There is no persistence or credential theft involved.
Mitigation Recommendations
No official patch or remediation is currently documented for this package version. Users should avoid installing or using @noxleyss/baileys version 1.1.10 and related forks. Review dependencies for this package and replace with a trusted, clean version of the Baileys library. Monitor for suspicious channel subscriptions in WhatsApp accounts and remove unauthorized subscriptions manually.
Malicious code in @noxleyss/baileys (npm)
Description
The npm package @noxleyss/baileys version 1.1.10 is part of a family of malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's authenticated WhatsApp account to attacker-controlled channels without user consent. The subscription targets are obfuscated or dynamically fetched, making detection difficult. The malicious code does not steal credentials, maintain persistence, or execute arbitrary remote code.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The @noxleyss/baileys package (version 1.1.10) contains injected malicious code that modifies the WhatsApp Web socket connection. Upon connection, it issues an authenticated 'w:mex' FOLLOW query using the victim's own WhatsApp session to subscribe the account to attacker-chosen WhatsApp Channel/Newsletter JIDs. The target JIDs are concealed using various obfuscation methods or fetched dynamically from attacker-controlled remote sources. This behavior is consistent across a large family of over 100 near-identical forks. The malicious action leverages the installer's authenticated session to increase subscribers for attacker channels but does not exfiltrate credentials, establish persistence, or run arbitrary code.
Potential Impact
Victims unknowingly subscribe their WhatsApp accounts to attacker-controlled channels, potentially exposing them to unwanted content or spam. The attack leverages the victim's authenticated session but does not compromise credentials or enable remote code execution. There is no persistence or credential theft involved.
Mitigation Recommendations
No official patch or remediation is currently documented for this package version. Users should avoid installing or using @noxleyss/baileys version 1.1.10 and related forks. Review dependencies for this package and replace with a trusted, clean version of the Baileys library. Monitor for suspicious channel subscriptions in WhatsApp accounts and remove unauthorized subscriptions manually.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17369
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d3401a7
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:04:57 UTC
Last updated: 10/01/2026, 04:55:24 UTC
Views: 3
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