MalwarePublished 7 Oct 2026

@ikyyjee/ikyysinggle (npm) · Malicious Code

Affects @ikyyjee/ikyysinggleSource GCVE Database

Malicious package : remove @ikyyjee/ikyysinggle and rotate any secrets on hosts that installed it.

Data as of 26 Oct 2026, 16:27 UTC

Classification

Malicious package

Published to npm · OSV MAL-2026-17357

What to do

Remove @ikyyjee/ikyysinggle from every project, lockfile and image that pulls it in. Treat any host that installed it as compromised: rotate the credentials, tokens and keys it could read, from a clean machine.

Affected software

Product	Affected	Fixed in
npm@ikyyjee/ikyysinggle	Affected =1.7.7	Fixed in–

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Description

The npm package @ikyyjee/ikyysinggle version 1.7.7 is part of a large family of malicious forks of the Baileys WhatsApp Web library. These forks inject code that silently subscribes the victim's authenticated WhatsApp account to attacker-controlled channels without user consent. The target channels are obfuscated or dynamically fetched to evade detection. This malicious behavior abuses the installer's WhatsApp session to increase subscribers for attacker channels but does not steal credentials or execute arbitrary code.

Impact

The 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, or remote code execution involved. The attack leverages the victim's authenticated session to increase reach for attacker channels.

Defensive guidance

Users should avoid installing or using the affected version 1.7.7 of @ikyyjee/ikyysinggle. Review dependencies for malicious forks of Baileys WhatsApp Web library and remove any suspicious packages. Monitor for updates from the package maintainers or npm advisories for potential fixes.

Summary

The @ikyyjee/ikyysinggle npm package version 1.7.7 contains malicious code that modifies the WhatsApp Web socket connection to issue an authenticated 'w:mex' FOLLOW query. This query subscribes the victim's WhatsApp account to attacker-chosen channels or newsletters without their knowledge. The target channel JIDs are hidden using various obfuscation methods or fetched dynamically from attacker-controlled remote sources, allowing the attacker to change targets post-installation. The underlying mechanism is consistent across a family of over 100 similar malicious forks. The attack leverages the victim's own authenticated session but does not exfiltrate credentials, establish persistence, or execute arbitrary remote code.

References

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What to do

Affected software

Description

AI analysisMachine-generated, updated 30 Sep 2026, 16:06 UTC

Technical details

References

Community reviews