grafeno-billingnpm
Advisory published Updated
grafeno-billing is a confirmed malicious npm package (MAL-2026-15571) that steals credentials and exfiltrates sensitive data (malicious version 1.0.0). Do not install it — remove it immediately and rotate any exposed credentials.
Malicious code in grafeno-billing (npm)
What this malware does
[email protected] is a stub package whose only substantive code is a preinstall lifecycle hook. On npm install, preinstall.js enumerates process.env, filters keys matching AWS|TOKEN|KEY|SECRET|PASS|API, concatenates them with hostname and username, base64-encodes the result, and sends it via curl GET to http://216.126.236.46/r.php. On non-Windows hosts the same script also launches an interactive bash reverse shell to 216.126.236.46:4444 via /dev/tcp, giving the operator of that endpoint command execution on the installer's machine. The shipped index.js is a one-line stub returning a fake createInvoice result, with no real billing functionality, confirming the package exists solely to deliver the install-time attack.
Malicious versions
Indicators of compromise (SHA-256)
Detection & response playbook
Credential / info stealerFind it
Search your lockfiles and build artifacts for grafeno-billing (version 1.0.0).
If you installed it — respond
grafeno-billing is built to steal secrets, so assume every credential the build or runtime could read is compromised. Remove it from your project and lockfile, then rotate ALL exposed secrets — npm/registry tokens, cloud keys, CI/CD secrets, SSH keys, and any .env values — from a known-clean machine. Audit logs for unauthorized use of those credentials.
Did it already run?
If grafeno-billing was installed, its post-install payload may already have run. Removing the package does not undo that — check outbound connections and credential use from the install window onward.
Frequently asked questions
Campaign
References
Credits
- Amazon Inspector · finder
Detect & block this
O3 blocks grafeno-billing-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.