Malicious code in test-in-one (npm)
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (4834c80d92d51ee12f73395ddc87c681baf4f911c6bbec54a9110cc55a9c4ae9) The package declares a local file: dependency (`detector` at `file:.yalc/detector`) whose `postinstall` script (`src/scripts/check.js`) executes automatically on `npm install`. The script walks the installer's home directory, Desktop, Documents, Projects, and cwd to harvest desktop crypto-wallet directories, browser extension LevelDB stores (MetaMask, Phantom, and similar), `~/.ssh/*` private keys, `~/.aws/credentials`, `~/.git-credentials`, `.env*`, `.npmrc`/`.yarnrc`, and the full `process.env`. The collected files are tarred and POSTed to a hardcoded Telegram Bot API endpoint (`https://api.telegram.org/bot<redacted>/sendDocument`, chat_id 416517694). The script additionally contains npm worm scaffolding: after collecting an npm token it calls `whoami` against `registry.npmjs.org`, enumerates all packages owned by the maintainer via the registry search API, and for each package downloads the tarball, injects a postinstall hook, bumps the version, writes a `.npmrc` with the stolen token, and prepares publication (the final publish call is currently gated by `if (false)`, but token theft, maintainer enumeration, and the injector pipeline are live). Bundling the payload as a `file:` dependency causes npm to install and run its lifecycle hooks without a registry fetch, making the manifest itself the delivery vector.
Malicious code in test-in-one (npm)
Description
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (4834c80d92d51ee12f73395ddc87c681baf4f911c6bbec54a9110cc55a9c4ae9) The package declares a local file: dependency (`detector` at `file:.yalc/detector`) whose `postinstall` script (`src/scripts/check.js`) executes automatically on `npm install`. The script walks the installer's home directory, Desktop, Documents, Projects, and cwd to harvest desktop crypto-wallet directories, browser extension LevelDB stores (MetaMask, Phantom, and similar), `~/.ssh/*` private keys, `~/.aws/credentials`, `~/.git-credentials`, `.env*`, `.npmrc`/`.yarnrc`, and the full `process.env`. The collected files are tarred and POSTed to a hardcoded Telegram Bot API endpoint (`https://api.telegram.org/bot<redacted>/sendDocument`, chat_id 416517694). The script additionally contains npm worm scaffolding: after collecting an npm token it calls `whoami` against `registry.npmjs.org`, enumerates all packages owned by the maintainer via the registry search API, and for each package downloads the tarball, injects a postinstall hook, bumps the version, writes a `.npmrc` with the stolen token, and prepares publication (the final publish call is currently gated by `if (false)`, but token theft, maintainer enumeration, and the injector pipeline are live). Bundling the payload as a `file:` dependency causes npm to install and run its lifecycle hooks without a registry fetch, making the manifest itself the delivery vector.
Affected software
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Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- MAL-2026-15562
- Osv Schema Version
- 1.7.4
- Aliases
- []
- Ecosystems
- ["npm"]
- Database Specific Severity
- null
- Cvss Version
- null
Threat ID: 6a92f7d9acd9273b49e75aac
Added to database: 08/29/2026, 15:16:41 UTC
Last updated: 08/29/2026, 15:21:06 UTC
Views: 2
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