0vulnerabilities
- Critical0 (0.0%)
- High0 (0.0%)
- Medium0 (0.0%)
- Moderate0 (0.0%)
- Low0 (0.0%)
vanzky-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 vanzky-baileys, based on data from OSV.
| ID | Severity | Summary | Affected versions | Published | Source |
|---|---|---|---|---|---|
| MAL-2026-19055 | Unknown | Malicious code in @vanzky/baileys (npm)Malicious package. `@vanzky/baileys` is a trojanized fork of the Baileys WhatsApp library (@whiskeysockets/baileys). it silently subscribes every victim (via the injected WhatsApp newsletter/channel FOLLOW on connect) to attacker-controlled WhatsApp channels — hardcoded newsletter JIDs: 120363412479307951@newsletter, 120363413713776550@newsletter, 120363429868081610@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. |
| OSV (opens in a new tab) |
Malicious package. `@vanzky/baileys` is a trojanized fork of the Baileys WhatsApp library (@whiskeysockets/baileys). it silently subscribes every victim (via the injected WhatsApp newsletter/channel FOLLOW on connect) to attacker-controlled WhatsApp channels — hardcoded newsletter JIDs: 120363412479307951@newsletter, 120363413713776550@newsletter, 120363429868081610@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.