@lordmega/baileys@0.3.41
This package appears in our research on the malicious Baileys forks, with how it works, the full package list and what to do if you installed it.
AI Security Review
scanned 2mo ago · by lpm-firewall-aiThe package contains a concrete, obfuscated runtime path that silently modifies outbound message content with a fixed operator-branded newsletter annotation. No credential theft was found, but this hidden payload tampering warrants blocking. Product guard normalized a non-low false-positive publish_block request to warn-only suspicious.
Decision evidence
public snapshot- Obfuscated runtime code creates a fixed newsletter annotation and injects it into qualifying outbound media.
- Brand identifiers and the integrity check are concealed behind an obfuscated string decoder.
- The preinstall hook only enforces Node.js 20+ and has no network or file-mutation logic.
- Inspected code showed no credential/environment harvesting or AI-agent configuration writes.
- Observed network code is WhatsApp media/version functionality or caller-supplied media URLs.
Source & flagged code
9 flagged · loading sourcePackage defines install-time lifecycle scripts.
package.jsonView on unpkgPackage contains a high-severity secret pattern.
lib/WABinary/constants.jsView on unpkg · L600Source file is highly similar to a previously finalized malicious package; route for source-aware review.
Findings
Affected versions and remediation
This report applies to @lordmega/baileys@0.3.41.
See all versions of @lordmega/baileys for other recorded verdicts.
- Review the evidence and your use of @lordmega/baileys@0.3.41 before allowing it. Restrict the permissions described in this report.
- Choose an independently verified alternative or release. This report does not establish that other versions are safe.
Evidence last updated: .
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