Malicious code in @mivesensei/baileys (npm)
The npm package @mivesensei/baileys version 0.4.2 is a malicious fork of the Baileys WhatsApp Web library that injects code to silently subscribe the victim's WhatsApp account to attacker-controlled channels without user consent. This is done by issuing an authenticated FOLLOW query using the victim's own WhatsApp session. The targeted channel IDs are obfuscated or dynamically fetched to evade detection. The malicious code does not steal credentials, maintain persistence, or execute arbitrary code remotely.
AI Analysis
Technical Summary
The @mivesensei/baileys package (version 0.4.2) is part of a large family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject a covert subscription action into the WhatsApp socket layer. Upon connection, the injected code sends an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account to these channels without their knowledge. The target JIDs are hidden using various obfuscation methods or fetched dynamically from attacker-controlled remote sources. The attack leverages the installer's authenticated WhatsApp session but does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
Potential Impact
Victims unknowingly subscribe to attacker-controlled WhatsApp channels, potentially increasing the reach and subscriber count of malicious or spam channels. 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 currently available for this malicious package version. Users should avoid installing or using the @mivesensei/baileys package version 0.4.2 and any suspicious forks of the Baileys library. Verify package integrity and source before installation. Consider using official or trusted versions of the Baileys library. Monitor for updates from the package maintainers or security advisories for any future fixes.
Malicious code in @mivesensei/baileys (npm)
Description
The npm package @mivesensei/baileys version 0.4.2 is a malicious fork of the Baileys WhatsApp Web library that injects code to silently subscribe the victim's WhatsApp account to attacker-controlled channels without user consent. This is done by issuing an authenticated FOLLOW query using the victim's own WhatsApp session. The targeted channel IDs are obfuscated or dynamically fetched to evade detection. The malicious code does not steal credentials, maintain persistence, or execute arbitrary code remotely.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The @mivesensei/baileys package (version 0.4.2) is part of a large family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject a covert subscription action into the WhatsApp socket layer. Upon connection, the injected code sends an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account to these channels without their knowledge. The target JIDs are hidden using various obfuscation methods or fetched dynamically from attacker-controlled remote sources. The attack leverages the installer's authenticated WhatsApp session but does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
Potential Impact
Victims unknowingly subscribe to attacker-controlled WhatsApp channels, potentially increasing the reach and subscriber count of malicious or spam channels. 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 currently available for this malicious package version. Users should avoid installing or using the @mivesensei/baileys package version 0.4.2 and any suspicious forks of the Baileys library. Verify package integrity and source before installation. Consider using official or trusted versions of the Baileys library. Monitor for updates from the package maintainers or security advisories for any future fixes.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17368
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d3401a8
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:05:08 UTC
Last updated: 09/30/2026, 22:40:34 UTC
Views: 3
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