Malicious code in focashi (npm)
The focashi npm package version 1.1.0 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 authenticated WhatsApp account to attacker-controlled channels without user consent. The malicious subscription targets are obfuscated or dynamically fetched, and the attack leverages the victim's own WhatsApp session. The code does not steal credentials, maintain persistence, or execute arbitrary remote code.
AI Analysis
Technical Summary
The focashi package (npm, version 1.1.0) belongs to a family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks modify the WhatsApp socket connection to issue an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs shortly after connection. The targeted JIDs are hidden using obfuscation techniques such as base64 encoding, XOR, or runtime reconstruction, or are fetched dynamically from attacker-controlled remote sources. This causes the victim's WhatsApp account to subscribe silently to channels controlled by the attacker, abusing the victim's authenticated session. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary code remotely.
Potential Impact
The 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, persistence, or remote code execution involved according to the available data.
Mitigation Recommendations
No official patch or remediation is indicated in the provided data. Patch status is not yet confirmed — check the vendor advisory or npm repository for current remediation guidance. Users should avoid installing or using the focashi package version 1.1.0 and related malicious forks. Review dependencies for this package and remove or replace them if found.
Malicious code in focashi (npm)
Description
The focashi npm package version 1.1.0 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 authenticated WhatsApp account to attacker-controlled channels without user consent. The malicious subscription targets are obfuscated or dynamically fetched, and the attack leverages the victim's own WhatsApp session. The code does not steal credentials, maintain persistence, or execute arbitrary remote code.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The focashi package (npm, version 1.1.0) belongs to a family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks modify the WhatsApp socket connection to issue an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs shortly after connection. The targeted JIDs are hidden using obfuscation techniques such as base64 encoding, XOR, or runtime reconstruction, or are fetched dynamically from attacker-controlled remote sources. This causes the victim's WhatsApp account to subscribe silently to channels controlled by the attacker, abusing the victim's authenticated session. The malicious code does not exfiltrate credentials, establish persistence, or execute arbitrary code remotely.
Potential Impact
The 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, persistence, or remote code execution involved according to the available data.
Mitigation Recommendations
No official patch or remediation is indicated in the provided data. Patch status is not yet confirmed — check the vendor advisory or npm repository for current remediation guidance. Users should avoid installing or using the focashi package version 1.1.0 and related malicious forks. Review dependencies for this package and remove or replace them if found.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17392
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d340126
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:02:13 UTC
Last updated: 09/30/2026, 22:41:52 UTC
Views: 3
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