Malicious code in monte-md-baileys (npm)
The npm package monte-md-baileys version 1.0.0 is a malicious fork of the Baileys WhatsApp Web library that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. It achieves this by injecting code that issues an authenticated FOLLOW query using the victim's own WhatsApp session. The targeted channel identifiers are obfuscated or dynamically fetched to evade detection. This behavior does not involve credential theft, persistence, or remote code execution.
AI Analysis
Technical Summary
monte-md-baileys (npm) version 1.0.0 is part of a large family of malicious Baileys WhatsApp Web library forks that inject a covert subscription action into the WhatsApp socket layer. Upon connection, the injected code issues an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account without consent. The target JIDs are obfuscated or dynamically retrieved from attacker-controlled sources, allowing runtime changes without republishing the package. The malicious code leverages the installer's authenticated WhatsApp session but does not exfiltrate credentials, maintain persistence, or execute arbitrary remote code.
Potential Impact
The malicious package causes unauthorized subscriptions of the victim's WhatsApp account to attacker-controlled channels, potentially exposing the victim to unwanted content or spam. There is no credential theft, persistence, or remote code execution involved. The impact is limited to unauthorized channel subscriptions using the victim's authenticated session.
Mitigation Recommendations
No official patch or remediation is documented for this package. Users should avoid installing monte-md-baileys version 1.0.0 and any related forks from this family. Review installed npm packages for suspicious Baileys forks and remove any identified malicious versions. Monitor for updates from trusted sources regarding remediation or safer alternatives.
Malicious code in monte-md-baileys (npm)
Description
The npm package monte-md-baileys version 1.0.0 is a malicious fork of the Baileys WhatsApp Web library that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. It achieves this by injecting code that issues an authenticated FOLLOW query using the victim's own WhatsApp session. The targeted channel identifiers are obfuscated or dynamically fetched to evade detection. This behavior does not involve credential theft, persistence, or remote code execution.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
monte-md-baileys (npm) version 1.0.0 is part of a large family of malicious Baileys WhatsApp Web library forks that inject a covert subscription action into the WhatsApp socket layer. Upon connection, the injected code issues an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account without consent. The target JIDs are obfuscated or dynamically retrieved from attacker-controlled sources, allowing runtime changes without republishing the package. The malicious code leverages the installer's authenticated WhatsApp session but does not exfiltrate credentials, maintain persistence, or execute arbitrary remote code.
Potential Impact
The malicious package causes unauthorized subscriptions of the victim's WhatsApp account to attacker-controlled channels, potentially exposing the victim to unwanted content or spam. There is no credential theft, persistence, or remote code execution involved. The impact is limited to unauthorized channel subscriptions using the victim's authenticated session.
Mitigation Recommendations
No official patch or remediation is documented for this package. Users should avoid installing monte-md-baileys version 1.0.0 and any related forks from this family. Review installed npm packages for suspicious Baileys forks and remove any identified malicious versions. Monitor for updates from trusted sources regarding remediation or safer alternatives.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17399
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d34011f
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:01:18 UTC
Last updated: 10/01/2026, 02:25:16 UTC
Views: 4
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