Malicious code in arsya-baileys (npm)
The arsya-baileys npm package version 9.2.0 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. This is done by issuing an authenticated FOLLOW query using the victim's own WhatsApp session. The target channels are obfuscated or dynamically fetched, 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 arsya-baileys package (version 9.2.0) is part of a large family of malicious Baileys WhatsApp Web forks that 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 using the installer's authenticated session, silently subscribing the victim to channels without consent. The target JIDs are obfuscated via string literals, base64, XOR, char-code arrays, or fetched dynamically from attacker-controlled remote sources, enabling runtime target changes without republishing the package. The malicious behavior leverages the victim's authenticated session but does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
Potential Impact
The impact is unauthorized subscription of the victim's WhatsApp account to attacker-controlled channels, potentially exposing the user to unwanted content or spam. There is no credential theft, persistence, or remote 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. Users should avoid installing or using the arsya-baileys package version 9.2.0. Review dependencies for this package and remove or replace it with a trusted alternative. Monitor for updates from the package maintainers or npm advisories for any official fixes.
Malicious code in arsya-baileys (npm)
Description
The arsya-baileys npm package version 9.2.0 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. This is done by issuing an authenticated FOLLOW query using the victim's own WhatsApp session. The target channels are obfuscated or dynamically fetched, 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 arsya-baileys package (version 9.2.0) is part of a large family of malicious Baileys WhatsApp Web forks that 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 using the installer's authenticated session, silently subscribing the victim to channels without consent. The target JIDs are obfuscated via string literals, base64, XOR, char-code arrays, or fetched dynamically from attacker-controlled remote sources, enabling runtime target changes without republishing the package. The malicious behavior leverages the victim's authenticated session but does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.
Potential Impact
The impact is unauthorized subscription of the victim's WhatsApp account to attacker-controlled channels, potentially exposing the user to unwanted content or spam. There is no credential theft, persistence, or remote 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. Users should avoid installing or using the arsya-baileys package version 9.2.0. Review dependencies for this package and remove or replace it with a trusted alternative. Monitor for updates from the package maintainers or npm advisories for any official fixes.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17387
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d34012b
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:02:51 UTC
Last updated: 09/30/2026, 22:43:11 UTC
Views: 3
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