MAL-2026-11116

Dashboard / Malicious Package / MAL-2026-11116

MAL-2026-11116

Summary: Malicious code in @wagni_bot/wagni (npm)

Details: The npm package `@wagni_bot/wagni` is a supply-chain credential stealer disguised as a **the campaign's own namesake handle** SDK. It is one member of a coordinated campaign of 25 crypto/web3 typosquat packages published under the single npm scope `@wagni_bot` on 2026-07-09. Each package declares a `postinstall` lifecycle hook (`postinstall: node postinstall.js`) that executes automatically on `npm install`, before the package is ever imported. The script fingerprints the host and user (`os.hostname()`, `os.userInfo()`, `os.platform()`), walks the user's home directory (`readdirSync`/`readFileSync`) and reads high-value secrets — SSH private keys (`~/.ssh/id_rsa`), cryptocurrency wallet files, and `.env` files (API keys, tokens, seed phrases). It then JSON-encodes the collected data and exfiltrates it to a hardcoded Telegram bot via the Telegram Bot API `sendMessage` endpoint (https://api.telegram.org/bot8804087989:AAHUia-5DCloXsg9M9QhffTsHO5J_6FAxQM/sendMessage). All error paths are swallowed so the install appears normal. codelake Research proved the packages belong to one campaign deterministically: the payload file is byte-identical across all 25 packages at each published version (version-lockstep), and every package exfiltrates to the same Telegram bot token — a single automated actor. Detected and classified independently from the live npm feed on 2026-07-09; at the time of reporting the packages were still live on npm and none of the 25 were present in OSV or GHSA (a first-catch). Source: amazon-inspector (57a21e153cd3240ab921c5c1b9f064922abda00be7360ecb44199978fbc881b3) Package @wagni_bot/[email protected] shows no evidence of installer-facing malicious behavior. No lifecycle scripts fetching or executing remote content, no credential or environment scraping, no hardcoded exfiltration destinations, no silent-relay APIs, and no suspicious dependency-chain patterns were identified in the four files scanned.

References: https://research.codelake.dev/advisories/clr-2026-3024-wagni-wagni, https://www.npmjs.com/package/@wagni_bot/wagni/v/1.0.0