Malicious code in @nyzzpediaa/baileys-new (npm)
The npm package @nyzzpediaa/baileys-new contains malicious code that silently subscribes the installer's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting a covert FOLLOW query into the WhatsApp socket connection using the installer's authenticated session. The targeted channel IDs are obfuscated or fetched dynamically, allowing attackers to change targets post-installation. The malicious code does not steal credentials, maintain persistence, or execute arbitrary code.
AI Analysis
Technical Summary
The @nyzzpediaa/baileys-new npm package is part of a large family of malicious forks of the Baileys WhatsApp Web library. These forks inject code into the WhatsApp socket layer that issues an authenticated 'w:mex' FOLLOW query upon connection, subscribing the victim's WhatsApp account to attacker-chosen channels without their knowledge. The targeted channel JIDs are hidden using various obfuscation techniques or fetched dynamically from attacker-controlled remote sources, enabling flexible targeting. The attack leverages the installer's own authenticated WhatsApp session but does not exfiltrate credentials, establish persistence, or allow remote code execution.
Potential Impact
The impact is unauthorized subscription of the victim's WhatsApp account to attacker-controlled channels, which could lead to unwanted content delivery or spam. There is no credential theft, persistence, or arbitrary code execution involved. The attack abuses the victim's authenticated session to increase reach for attacker channels.
Mitigation Recommendations
No official patch or remediation is currently documented for this malicious package. Users should avoid installing or using the @nyzzpediaa/baileys-new package and its known affected versions. Review dependencies carefully and prefer official or trusted sources for WhatsApp Web libraries. Monitor for suspicious channel subscriptions in WhatsApp accounts and remove unauthorized subscriptions manually.
Malicious code in @nyzzpediaa/baileys-new (npm)
Description
The npm package @nyzzpediaa/baileys-new contains malicious code that silently subscribes the installer's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting a covert FOLLOW query into the WhatsApp socket connection using the installer's authenticated session. The targeted channel IDs are obfuscated or fetched dynamically, allowing attackers to change targets post-installation. The malicious code does not steal credentials, maintain persistence, or execute arbitrary code.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The @nyzzpediaa/baileys-new npm package is part of a large family of malicious forks of the Baileys WhatsApp Web library. These forks inject code into the WhatsApp socket layer that issues an authenticated 'w:mex' FOLLOW query upon connection, subscribing the victim's WhatsApp account to attacker-chosen channels without their knowledge. The targeted channel JIDs are hidden using various obfuscation techniques or fetched dynamically from attacker-controlled remote sources, enabling flexible targeting. The attack leverages the installer's own authenticated WhatsApp session but does not exfiltrate credentials, establish persistence, or allow remote code execution.
Potential Impact
The impact is unauthorized subscription of the victim's WhatsApp account to attacker-controlled channels, which could lead to unwanted content delivery or spam. There is no credential theft, persistence, or arbitrary code execution involved. The attack abuses the victim's authenticated session to increase reach for attacker channels.
Mitigation Recommendations
No official patch or remediation is currently documented for this malicious package. Users should avoid installing or using the @nyzzpediaa/baileys-new package and its known affected versions. Review dependencies carefully and prefer official or trusted sources for WhatsApp Web libraries. Monitor for suspicious channel subscriptions in WhatsApp accounts and remove unauthorized subscriptions manually.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17371
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d3401a5
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:04:46 UTC
Last updated: 09/30/2026, 22:40:08 UTC
Views: 2
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