---
id: "MAL-2026-18925"
page: "https://infrastack.ai/live/MAL-2026-18925"
kind: "package"
aliases: ["MAL-2026-18925"]
title: "Malicious code in @zeppeliorg/wbails (npm)"
severity: "critical"
cvss: null
epss: null
exploited: false
status: "open"
category: "package"
products: [{"name": "@zeppeliorg/wbails", "fixed": [], "affected": "= 1.0.0; = 1.0.1; = 1.0.2; = 1.0.3; = 1.0.4; = 1.0.5; = 1.0.6; = 1.0.7; = 1.0.7-beta; = 1.0.8; = 1.0.9; = 1.1.0; = 1.1.1; = 1.1.2; = 1.1.5; = 1.1.6; = 1.1.7; = 1.1.8; = 1.1.9", "ecosystem": "npm"}]
ecosystems: ["npm"]
tags: ["malicious", "package"]
not_affected_if: []
published_at: "2026-10-27T00:00:00+00:00"
first_seen_at: "2026-11-09T23:37:58+00:00"
updated_at: "2026-11-09T23:41:42+00:00"
sources: [{"source": "osv-malicious", "url": "https://osv.dev/vulnerability/MAL-2026-18925", "first_seen_at": "2026-11-09T23:37:58+00:00"}]
exploit_sources: []
---

# Malicious code in @zeppeliorg/wbails (npm)

Link for people: https://infrastack.ai/live/MAL-2026-18925 (this .md is for agents)

## Affected

- npm:@zeppeliorg/wbails affected = 1.0.0; = 1.0.1; = 1.0.2; = 1.0.3; = 1.0.4; = 1.0.5; = 1.0.6; = 1.0.7; = 1.0.7-beta; = 1.0.8; = 1.0.9; = 1.1.0; = 1.1.1; = 1.1.2; = 1.1.5; = 1.1.6; = 1.1.7; = 1.1.8; = 1.1.9 fixed no fixed version listed

## Timeline

- 2026-11-09T23:37:58+00:00 osv-malicious https://osv.dev/vulnerability/MAL-2026-18925

## From the sources

@zeppeliorg/wbails is a fork of the Baileys WhatsApp Web library that silently subscribes the installer's own WhatsApp account to WhatsApp Channels chosen by the publisher. When the socket connects, code in lib/Socket/newsletter.js sends the WhatsApp w:mex FOLLOW query for the channel ID(s) 120363330344810280@newsletter, 120363349140729983@newsletter, 120363400738305381@newsletter, 120363410018949906@newsletter, 120363410614416828@newsletter, 120363418691561888@newsletter and 7 more (stored as base64 strings), using the victim's authenticated session and without telling them. Same behaviour as the PhantomSub family (MAL-2026-17342).

---

_Free to read, with fair use of about 60 pages a minute. For higher limits or API access: sales@infrastack.ai_