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Malicious code in spencer-baileys (npm)

0
Medium
Source: GCVE Database
Product: spencer-baileys

Description

The spencer-baileys npm package version 1.0.4 is a malicious fork of the Baileys WhatsApp Web library that silently subscribes the user's WhatsApp account to attacker-controlled channels without user consent. This is done by injecting code that issues an authenticated FOLLOW query using the victim's own WhatsApp session. The target channel identifiers are obfuscated or fetched remotely to evade detection. The malicious code does not steal credentials, maintain persistence, or execute arbitrary code.

Affected software

npmghsa
spencer-baileys
Affected versions
=1.0.4

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/30/2026, 16:00:32 UTC

Technical Analysis

The spencer-baileys package (npm, version 1.0.4) is part of a large family of over 100 near-identical malicious forks of the Baileys WhatsApp Web library. These forks inject a covert subscription action into the WhatsApp socket connection process. Upon connection, the injected code sends an authenticated 'w:mex' FOLLOW query to attacker-chosen WhatsApp Channel/Newsletter JIDs, subscribing the victim's account without their knowledge. The target JIDs are hidden using various obfuscation techniques such as base64 encoding, XOR, or runtime reconstruction, or are fetched dynamically from attacker-controlled remote sources. The attack leverages the installer's authenticated WhatsApp session to increase subscribers for attacker channels but does not exfiltrate credentials or execute arbitrary remote code.

Potential Impact

The primary 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 mechanism, or remote code execution involved. The attack abuses the victim's authenticated session to propagate subscriptions, which could affect user privacy and trust.

Mitigation Recommendations

No official patch or remediation is currently documented. Users should avoid installing or using the spencer-baileys package version 1.0.4. Review dependencies carefully and verify package authenticity before installation. Monitor for suspicious subscriptions on WhatsApp accounts and remove any unauthorized channel subscriptions. Patch status is not yet confirmed — check the vendor advisory or trusted sources for updates.

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Technical Details

Gcve Source
db.gcve.eu
Osv Id
MAL-2026-17406
Osv Schema Version
1.7.4
Ecosystems
["npm"]

Threat ID: 6abd30852a4e24523d340118

Added to database: 09/30/2026, 15:53:41 UTC

Last enriched: 09/30/2026, 16:00:32 UTC

Last updated: 09/30/2026, 22:39:20 UTC

Views: 2

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