Malicious code in @sakataoffc/baileys (npm)
The npm package @sakataoffc/baileys is part of a large family of near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's WhatsApp account to attacker-controlled channels using the victim's authenticated 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
This threat involves malicious code embedded in the npm package @sakataoffc/baileys versions 1.0.0 through 8.0.0. The code modifies the WhatsApp socket connection to issue an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account without consent. The target JIDs are hidden via obfuscation techniques or fetched dynamically from attacker-controlled sources. The attack leverages the installer's authenticated WhatsApp session to increase subscribers to attacker channels but does not perform credential theft, persistence, or remote code execution.
Potential Impact
The impact is limited to 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 code execution reported.
Mitigation Recommendations
No official patch or remediation is indicated in the provided data. Users should avoid installing or using the @sakataoffc/baileys package versions 1.0.0 through 8.0.0 from untrusted sources. Review dependencies for this package and replace with a trusted, verified version of the Baileys library. Monitor for updates or advisories from the package maintainers or npm regarding this issue.
Malicious code in @sakataoffc/baileys (npm)
Description
The npm package @sakataoffc/baileys is part of a large family of near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's WhatsApp account to attacker-controlled channels using the victim's authenticated 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
Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This threat involves malicious code embedded in the npm package @sakataoffc/baileys versions 1.0.0 through 8.0.0. The code modifies the WhatsApp socket connection to issue an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account without consent. The target JIDs are hidden via obfuscation techniques or fetched dynamically from attacker-controlled sources. The attack leverages the installer's authenticated WhatsApp session to increase subscribers to attacker channels but does not perform credential theft, persistence, or remote code execution.
Potential Impact
The impact is limited to 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 code execution reported.
Mitigation Recommendations
No official patch or remediation is indicated in the provided data. Users should avoid installing or using the @sakataoffc/baileys package versions 1.0.0 through 8.0.0 from untrusted sources. Review dependencies for this package and replace with a trusted, verified version of the Baileys library. Monitor for updates or advisories from the package maintainers or npm regarding this issue.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-17379
- Osv Schema Version
- 1.7.4
- Ecosystems
- ["npm"]
Threat ID: 6abd30852a4e24523d340149
Added to database: 09/30/2026, 15:53:41 UTC
Last enriched: 09/30/2026, 16:03:46 UTC
Last updated: 09/30/2026, 22:39:31 UTC
Views: 2
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.