Malicious code in @japofc/baileys (npm)
The @japofc/baileys npm package, a fork of the Baileys WhatsApp Web library, contains malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting a covert FOLLOW query into the WhatsApp socket connection using the installer's authenticated session. The targeted channel IDs 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
This threat involves a family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library, including the @japofc/baileys npm package versions 2.1.0 through 2.4.3. The injected code patches the WhatsApp socket connect routine to issue an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs shortly after connection. The victim's own authenticated WhatsApp session is abused to silently subscribe their account to these channels. The target JIDs are hidden through various obfuscation techniques or fetched dynamically from attacker-controlled remote sources, enabling flexible targeting without republishing the package. The malicious action is limited to subscription abuse and does not involve credential theft, persistence, or arbitrary code execution.
Potential Impact
The primary impact is unauthorized subscription of the victim's WhatsApp account to attacker-controlled channels, potentially leading to unwanted messages or spam. There is no credential theft, no persistence established, and no arbitrary remote code execution. The attack leverages the victim's authenticated session to increase reach for attacker channels.
Mitigation Recommendations
No official patch or remediation guidance is provided in the available data. Users should avoid installing or using the affected versions of the @japofc/baileys package (2.1.0 through 2.4.3). Review and replace any usage of this package with a trusted, verified version or alternative. Monitor for updates from the package maintainers or npm advisories for any official fixes.
Malicious code in @japofc/baileys (npm)
Description
The @japofc/baileys npm package, a fork of the Baileys WhatsApp Web library, contains malicious code that silently subscribes the victim's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting a covert FOLLOW query into the WhatsApp socket connection using the installer's authenticated session. The targeted channel IDs 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
This threat involves a family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library, including the @japofc/baileys npm package versions 2.1.0 through 2.4.3. The injected code patches the WhatsApp socket connect routine to issue an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs shortly after connection. The victim's own authenticated WhatsApp session is abused to silently subscribe their account to these channels. The target JIDs are hidden through various obfuscation techniques or fetched dynamically from attacker-controlled remote sources, enabling flexible targeting without republishing the package. The malicious action is limited to subscription abuse and does not involve credential theft, persistence, or arbitrary code execution.
Potential Impact
The primary impact is unauthorized subscription of the victim's WhatsApp account to attacker-controlled channels, potentially leading to unwanted messages or spam. There is no credential theft, no persistence established, and no arbitrary remote code execution. The attack leverages the victim's authenticated session to increase reach for attacker channels.
Mitigation Recommendations
No official patch or remediation guidance is provided in the available data. Users should avoid installing or using the affected versions of the @japofc/baileys package (2.1.0 through 2.4.3). Review and replace any usage of this package with a trusted, verified version or 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-2026-17359
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d3401b1
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:06:13 UTC
Last updated: 10/01/2026, 04:47:50 UTC
Views: 4
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