Malicious code in eliteprotech-baileys (npm)
The eliteprotech-baileys npm package versions 1.1.0, 1.1.1, and 1.1.2 contain malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is achieved by injecting a covert subscription action into the WhatsApp socket layer, which issues an authenticated FOLLOW query using the installer's own WhatsApp session. The targeted channel IDs are obfuscated or dynamically fetched, allowing attackers to change targets post-installation. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
AI Analysis
Technical Summary
The eliteprotech-baileys package is part of a large family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject code that, upon connecting to WhatsApp, issues an authenticated 'w:mex' FOLLOW query subscribing the victim's WhatsApp account to attacker-chosen channels. The targeted channel JIDs are hidden using various obfuscation techniques or fetched dynamically from attacker-controlled sources. The attack leverages the installer's authenticated WhatsApp session to silently increase subscribers for attacker channels without stealing credentials or executing arbitrary code.
Potential Impact
Victims unknowingly subscribe their WhatsApp accounts to attacker-controlled channels, potentially exposing them to unwanted messages or spam. The attack leverages the victim's authenticated session but does not compromise credentials or allow remote code execution. There is no persistence or direct data exfiltration involved.
Mitigation Recommendations
No official patch or remediation guidance is provided. Users should avoid installing or using the eliteprotech-baileys package versions 1.1.0, 1.1.1, and 1.1.2. Consider using official or verified versions of the Baileys library. Monitor for suspicious WhatsApp channel subscriptions and remove any unwanted subscriptions manually.
Malicious code in eliteprotech-baileys (npm)
Description
The eliteprotech-baileys npm package versions 1.1.0, 1.1.1, and 1.1.2 contain malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is achieved by injecting a covert subscription action into the WhatsApp socket layer, which issues an authenticated FOLLOW query using the installer's own WhatsApp session. The targeted channel IDs are obfuscated or dynamically fetched, allowing attackers to change targets post-installation. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The eliteprotech-baileys package is part of a large family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject code that, upon connecting to WhatsApp, issues an authenticated 'w:mex' FOLLOW query subscribing the victim's WhatsApp account to attacker-chosen channels. The targeted channel JIDs are hidden using various obfuscation techniques or fetched dynamically from attacker-controlled sources. The attack leverages the installer's authenticated WhatsApp session to silently increase subscribers for attacker channels without stealing credentials or executing arbitrary code.
Potential Impact
Victims unknowingly subscribe their WhatsApp accounts to attacker-controlled channels, potentially exposing them to unwanted messages or spam. The attack leverages the victim's authenticated session but does not compromise credentials or allow remote code execution. There is no persistence or direct data exfiltration involved.
Mitigation Recommendations
No official patch or remediation guidance is provided. Users should avoid installing or using the eliteprotech-baileys package versions 1.1.0, 1.1.1, and 1.1.2. Consider using official or verified versions of the Baileys library. Monitor for suspicious WhatsApp channel subscriptions and remove any unwanted subscriptions manually.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17391
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d340127
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:02:20 UTC
Last updated: 09/30/2026, 22:42:04 UTC
Views: 3
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