{"id":"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.\n\nEach 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.\n\ncodelake 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).\n\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (57a21e153cd3240ab921c5c1b9f064922abda00be7360ecb44199978fbc881b3)\nPackage @wagni_bot/wagni@1.0.0 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.\n","modified":"2026-08-05T06:35:56.497943521Z","published":"2026-07-09T00:00:00Z","database_specific":{"iocs":{"hashes":["sha256:433744129f91df404539bad56383e61f1b461570e63af17ba1a38597947bcac3"],"urls":["https://api.telegram.org/bot8804087989:AAHUia-5DCloXsg9M9QhffTsHO5J_6FAxQM/sendMessage"]},"malicious-packages-origins":[{"id":"IN-MAL-2026-013224","import_time":"2026-08-05T06:00:55.741567691Z","modified_time":"2026-08-05T05:52:05Z","sha256":"57a21e153cd3240ab921c5c1b9f064922abda00be7360ecb44199978fbc881b3","source":"amazon-inspector","versions":["1.0.0"]}]},"references":[{"type":"ADVISORY","url":"https://research.codelake.dev/advisories/clr-2026-3024-wagni-wagni"},{"type":"PACKAGE","url":"https://www.npmjs.com/package/@wagni_bot/wagni/v/1.0.0"}],"affected":[{"package":{"name":"@wagni_bot/wagni","ecosystem":"npm","purl":"pkg:npm/%40wagni_bot/wagni"},"versions":["1.0.0"],"database_specific":{"indicators":{"package_integrity":[{"filename":"wagni-1.0.0.tgz","hashes":{"sha1":"fd89b5ce1caf2b76f0d3885d8849ec1f7753f475","sha512_sri":"sha512-CLj51R95WOsXQtT/4pmjWdbPzl/G/mGNehTgsuU5zIZ4Tqp02xPHH2ZqWriovHRMhCjch6/rawshZBqdomvLVA=="}}]},"source":"https://github.com/ossf/malicious-packages/blob/main/osv/malicious/npm/@wagni_bot/wagni/MAL-2026-11116.json","cwes":[{"name":"Embedded Malicious Code","cweId":"CWE-506","description":"The product contains code that appears to be malicious in nature."}]}}],"schema_version":"1.8.0","credits":[{"name":"Amazon Inspector","contact":["inspector-research@amazon.com"],"type":"FINDER"},{"name":"codelake Research","contact":["https://research.codelake.dev/advisories/clr-2026-3024-wagni-wagni"],"type":"FINDER"}]}