Malicious code in my-baileys (npm)
The my-baileys npm package versions 1.0.1 through 1.0.5 contain malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting a covert channel-subscription action into the WhatsApp socket layer, issuing authenticated FOLLOW queries using the installer's own WhatsApp session. The target channels are obfuscated or dynamically fetched to evade detection. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
AI Analysis
Technical Summary
The my-baileys package is part of a large family of malicious forks of the Baileys WhatsApp Web library that inject code to silently subscribe the victim's WhatsApp account to attacker-chosen channels via authenticated FOLLOW queries on connect. The target JIDs are hidden using various obfuscation techniques or fetched remotely, allowing dynamic control of subscription targets. The attack leverages the installer's authenticated WhatsApp session but does not steal credentials or execute arbitrary code. Affected versions include 1.0.1 through 1.0.5.
Potential Impact
Victims unknowingly subscribe their WhatsApp accounts to attacker-controlled channels, potentially exposing them to unwanted content or spam. The malicious action abuses the victim's authenticated session but does not compromise credentials or allow remote code execution. There is no persistence or credential theft involved.
Mitigation Recommendations
No official patch or remediation guidance is provided in the available data. Users should avoid using the affected versions of the my-baileys package (1.0.1 to 1.0.5). Check the vendor or package repository for updates or official advisories. Consider auditing dependencies for malicious forks before installation.
Malicious code in my-baileys (npm)
Description
The my-baileys npm package versions 1.0.1 through 1.0.5 contain malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting a covert channel-subscription action into the WhatsApp socket layer, issuing authenticated FOLLOW queries using the installer's own WhatsApp session. The target channels are obfuscated or dynamically fetched to evade detection. 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 my-baileys package is part of a large family of malicious forks of the Baileys WhatsApp Web library that inject code to silently subscribe the victim's WhatsApp account to attacker-chosen channels via authenticated FOLLOW queries on connect. The target JIDs are hidden using various obfuscation techniques or fetched remotely, allowing dynamic control of subscription targets. The attack leverages the installer's authenticated WhatsApp session but does not steal credentials or execute arbitrary code. Affected versions include 1.0.1 through 1.0.5.
Potential Impact
Victims unknowingly subscribe their WhatsApp accounts to attacker-controlled channels, potentially exposing them to unwanted content or spam. The malicious action abuses the victim's authenticated session but does not compromise credentials or allow remote code execution. There is no persistence or credential theft involved.
Mitigation Recommendations
No official patch or remediation guidance is provided in the available data. Users should avoid using the affected versions of the my-baileys package (1.0.1 to 1.0.5). Check the vendor or package repository for updates or official advisories. Consider auditing dependencies for malicious forks before installation.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17400
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d34011e
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:01:12 UTC
Last updated: 09/30/2026, 22:40:27 UTC
Views: 2
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