Malicious code in weavedb-offchain (npm)
-= Per source details. Do not edit below this line.=-
package.json declares scripts.preinstall: "./.github/scripts/precheck", where precheck is a 976,568-byte stripped Linux ELF binary (sha256 36abd242ddaa27f0160c539377a0e92cf781c1695137850acc87e3892b436d36) hidden under a CI-config-looking .github/scripts/ directory. The package advertises itself as a pure-JavaScript Arweave/WeaveDB database wrapper (index.js exports class OffChain); it ships no native source, no binding.gyp, and prior versions had no preinstall hook. The ELF's strings reveal a multi-platform implant capability set with no connection to the package's stated purpose: LIBBPF_0.0 (eBPF kernel hooking), PTRACE (process tracing / anti-debug), NETLINK and _BY_FAMILY (raw socket / connection enumeration), an HTTP/1.1 client with POST/DELETE methods, GitHub REST API version header 2022-11-28, modern TLS/crypto primitives (Ed25519, X448, MLKEM, RSA_PKCS1), and a Windows USERPROFILE environment probe. On npm install, this binary executes unconditionally with the installer's privileges before any user code runs — the canonical install-time-RCE binary-dropper pattern. Any developer or CI runner that installs this version should be considered compromised.
This package was compromised as part of the IronWorm campaign. This campaign executes a malicious binary payload during installation via a preinstall hook. The payload is a Rust-built infostealer that targets developer environments, scanning for and harvesting credentials related to cloud providers, object storage, databases, source-control, package registries, and AI developer tools. It also targets cryptocurrency wallets, specifically injecting a malicious JavaScript hook into the Exodus desktop wallet to capture passwords and recovery phrases. Furthermore, the malware exhibits worm-like behavior by stealing GitHub and NPM credentials to push malicious updates to the victim's repositories and publish trojanized packages, and it uses an eBPF-based kernel rootkit to hide its processes and network connections on Linux systems.
왜 이 VPI인가 (설명가능 · 실험적)
VPI 산정 기준
| 영향도(기본값(정보 없음)) | 55.00 |
| 악용 신호(추가 악용신호 없음) | ×1.00 |
| VPI | 55.00 |
VPI 공식 vpi-v1 기준