0vulnerabilities
- Critical0 (0.0%)
- High0 (0.0%)
- Medium0 (0.0%)
- Moderate0 (0.0%)
- Low0 (0.0%)
zanxiky-baileys
Ecosystem: npm
Downloads:
- 0CriticalAffects 0 versions
- 0HighAffects 0 versions
- 0MediumAffects 0 versions
- 0ModerateAffects 0 versions
- 0LowAffects 0 versions
Monthly breakdown
- 0 vulnerabilities
- Critical: 0
- High: 0
- Medium: 0
- Moderate: 0
- Low: 0
Vulnerabilities (1)
Known vulnerabilities affecting zanxiky-baileys, based on data from OSV.
| ID | Severity | Summary | Affected versions | Published | Source |
|---|---|---|---|---|---|
| MAL-2026-19059 | Unknown | Malicious code in @zanxiky/baileys (npm)Malicious package. `@zanxiky/baileys` is a trojanized fork of the Baileys WhatsApp library (@whiskeysockets/baileys). on connection it issues an authenticated `w:mex` newsletter FOLLOW mutation (query_id 7871414976211147) that silently subscribes every victim to attacker-controlled WhatsApp channels — hardcoded newsletter JIDs: 120363399602691477@newsletter, 120363421563597486@newsletter. Legitimate Baileys never hardcodes a channel JID or auto-follows on connect; all published versions are malicious. Detected by wormsign static analysis of the injected channel-subscription code. --- _-= Per |
| OSV (opens in a new tab) |
Malicious package. `@zanxiky/baileys` is a trojanized fork of the Baileys WhatsApp library (@whiskeysockets/baileys). on connection it issues an authenticated `w:mex` newsletter FOLLOW mutation (query_id 7871414976211147) that silently subscribes every victim to attacker-controlled WhatsApp channels — hardcoded newsletter JIDs: 120363399602691477@newsletter, 120363421563597486@newsletter. Legitimate Baileys never hardcodes a channel JID or auto-follows on connect; all published versions are malicious. Detected by wormsign static analysis of the injected channel-subscription code. --- _-= Per