llama-tokenizernpm
llama-tokenizer is a confirmed malicious npm package (MAL-2026-10163) that steals credentials and exfiltrates sensitive data (malicious version 1.2.2). Do not install it — remove it immediately and rotate any exposed credentials.
Malicious code in llama-tokenizer (npm)
What this malware does
This package typosquats llama-tokenizer-js. On require, index.js reconstructs a host and URL path from String.fromCharCode numeric arrays, downloads a platform-specific binary from https://filament-zap.vercel.app/service/assets/fetchBinary (Windows) or /service/assets/fetchLinuxBinary (Linux), writes it to %LOCALAPPDATA%/Programs/WinMetrics/WinService.exe on Windows or ~/.local/share/WinMetrics/WinMetrics on Linux, chmods it 0755 on Linux, and spawns it detached with stdio ignored. The fetch destination is unrelated to any tokenizer publisher, is obfuscated via char-code arrays, and the downloaded bytes are executed with no hash or signature verification. index.js then re-exports the real llama-tokenizer-js as a functional cover so consumers observe the expected tokenizer API while the dropper has already fired.
Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be rotated immediately from a different computer. The package should be removed, but as full control of the computer may have been given to an outside entity, there is no guarantee that removing the package will remove all malicious software resulting from installing it.
Malicious versions
Indicators of compromise (SHA-256)
Detection & response playbook
Credential / info stealerFind it
Scan your lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock, requirements.txt, poetry.lock, etc.) and build artifacts for llama-tokenizer (version 1.2.2). O3 Security's supply-chain scanner checks every dependency against known-malicious package intelligence at install time and in CI, flagging llama-tokenizer across your stack and pipelines.
If you installed it — respond
llama-tokenizer 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 llama-tokenizer was ever installed, its post-install/runtime payload may have already executed. O3's L7 egress monitoring and runtime eBPF sensors detect the credential exfiltration or command-and-control callback after install and block the malicious outbound channel, so you catch and contain the actual compromise — not just the presence of the package.
How O3 protects you
O3 blocks llama-tokenizer before install through its supply-chain scanner, and if it has already run, detects and severs the exfiltration or C2 callback at runtime through L7 egress monitoring and eBPF.
Frequently asked questions
Campaign
References
Credits
- Amazon Inspector · finder
Detect & block this
O3 blocks llama-tokenizer-class packages before install and in CI — and if it already ran, its runtime egress monitoring catches the credential exfiltration and severs the channel.