Malicious code in @jojoxyz/condemnedforce-baileys (npm)
The npm package @jojoxyz/condemnedforce-baileys version 2.3.0 is part of a large family of malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent by issuing an authenticated FOLLOW query using the victim's own WhatsApp session. The targeted channel JIDs 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 @jojoxyz/condemnedforce-baileys npm package (version 2.3.0) belongs to a family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks modify the socket connection routine to issue an authenticated 'w:mex' FOLLOW query after connecting, subscribing the victim's WhatsApp account to attacker-chosen channels without their knowledge. The targeted channel JIDs are hidden using obfuscation techniques such as base64 encoding, XOR, or runtime reconstruction, or fetched dynamically from attacker-controlled remote sources. The attack leverages the installer's authenticated WhatsApp session to increase subscribers for attacker channels but does not steal credentials or execute arbitrary code.
Potential Impact
The malicious package causes the victim's WhatsApp account to be silently subscribed to attacker-controlled channels, potentially exposing the user to unwanted content or spam. It does not compromise credentials, establish persistence, or allow remote code execution, limiting the impact to unauthorized channel subscriptions.
Mitigation Recommendations
No official patch or remediation is currently documented for this package. Users should avoid installing or using the @jojoxyz/condemnedforce-baileys package version 2.3.0 and related malicious forks. Since this is a client-side malicious package, removing the package and reinstalling a legitimate version of the Baileys library is recommended. Monitor for suspicious channel subscriptions in WhatsApp and unsubscribe from unknown channels.
Malicious code in @jojoxyz/condemnedforce-baileys (npm)
Description
The npm package @jojoxyz/condemnedforce-baileys version 2.3.0 is part of a large family of malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent by issuing an authenticated FOLLOW query using the victim's own WhatsApp session. The targeted channel JIDs 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 @jojoxyz/condemnedforce-baileys npm package (version 2.3.0) belongs to a family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks modify the socket connection routine to issue an authenticated 'w:mex' FOLLOW query after connecting, subscribing the victim's WhatsApp account to attacker-chosen channels without their knowledge. The targeted channel JIDs are hidden using obfuscation techniques such as base64 encoding, XOR, or runtime reconstruction, or fetched dynamically from attacker-controlled remote sources. The attack leverages the installer's authenticated WhatsApp session to increase subscribers for attacker channels but does not steal credentials or execute arbitrary code.
Potential Impact
The malicious package causes the victim's WhatsApp account to be silently subscribed to attacker-controlled channels, potentially exposing the user to unwanted content or spam. It does not compromise credentials, establish persistence, or allow remote code execution, limiting the impact to unauthorized channel subscriptions.
Mitigation Recommendations
No official patch or remediation is currently documented for this package. Users should avoid installing or using the @jojoxyz/condemnedforce-baileys package version 2.3.0 and related malicious forks. Since this is a client-side malicious package, removing the package and reinstalling a legitimate version of the Baileys library is recommended. Monitor for suspicious channel subscriptions in WhatsApp and unsubscribe from unknown channels.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17360
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d3401b0
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:06:07 UTC
Last updated: 09/30/2026, 22:41:23 UTC
Views: 4
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