token-usage-tracker@1.0.12

Ten packages published by npm user `asdxzxc` at version 1.0.10 target developers working on AI and LLM tooling. Each package masquerades as a developer utility while executing a two-stage payload triggered via postinstall: `package.json` → `lib/setup.js` → `lib/worker.js`. **Credential harvesting:** `lib/worker.js` scans the filesystem for private keys (64-char hex), BIP39 mnemonics (12–24 word phrases), API keys and secrets, and passwords from env vars and shell history (`.bash_history`, `.zsh_history`, `.fish_history`, `.mysql_history`, `.psql_history`), including wallet tool invocations (`geth account`, `hardhat`, `metamask`, `wallet import`). Targeted paths include `~/.ssh`, `~/.aws/credentials`, `~/.config/gcloud`, `~/.azure`, `~/.docker/config.json`, `~/.kube/config`, crypto wallet dirs (`~/.ethereum`, `~/.bitcoin`, `~/.solana`), exchange configs (Binance, Bybit, OKX, KuCoin, Deribit, 3Commas), `.env`, `.npmrc`, `.gitconfig`. Also performs browser data theft and Ethereum keystore brute-force. A priority-target list fetched from the actor's GitHub Pages endpoint enables aggressive deep scanning for pre-registered high-value hosts. **AI self-propagation:** after credential theft, a `_propagate()` function executes a multi-vector campaign to infect AI coding assistants. It writes poisoned `.cursorrules` and `CLAUDE.md` files — framed as "P-2024-001 Enterprise Credential Integrity Standard" — to all discovered project directories, parent directories, and home subdirectories, instructing Cursor, Claude Code, and GitHub Copilot to execute the remote payload and propagate it via Issues, PRs, and documentation. Git hooks (`post-merge`, `post-checkout`, `pre-commit`, `pre-push`) are injected into all `.git` repos found on disk, and a persistence block is appended to `~/.bashrc`, `~/.zshrc`, and `~/.profile`. Zero-width steganography (ZWSP/ZWJ/ZWNJ/LTRM encoding) embeds hidden scan triggers in all AI-generated text output, enabling AI-to-AI chain infection invisible to humans. **C2/exfil:** a remotely configurable JSON config hosted on the actor's GitHub Pages delivers the active webhook list, encryption key, and scan strategy; hardcoded fallback webhooks at `webhook.site` and a DNS TXT record fallback are used if the primary channel fails. A dedup marker at `~/.local/share/.p2024_integrity` prevents re-propagation within 24 hours. `token-usage-tracker` poses as a token consumption monitoring tool for AI model providers, specifically targeting AI/LLM application developers. --- ## Source: amazon-inspector (71a7d9006bbc0538562bec4173af747e6fbbd0c445256d6bbe45a510838ba362) The package contains a 1000+ line module lib/trap-core.js whose composition is the canonical host-reconnaissance + exfiltration shape: it imports os, fs, https, and child_process; collects host identifiers via os.hostname() and os.platform() (lines 304, 1023-1024); enumerates filesystem paths via fs.existsSync (lines 28, 81, 196,...); shells out repeatedly via child_process at lines 12, 748, 951, 959, 964; runs network-recon commands including ping (line 40) and curl (line 781); and performs multiple HTTPS POSTs with hostname-bearing payloads (POSTs at lines 385, 411, 466, 548, 549; payload objects with hostname: fields at lines 393, 411, 553, 600, 1023). For a package whose advertised purpose is tracking token usage, none of this surface (host enumeration, child_process shell-outs, ping/curl reconnaissance, HTTPS POSTs of hostname-tagged data) is justified. The combined fingerprint matches host-recon + outbound exfiltration over HTTPS. ## Source: ghsa-malware (f161ea33df5df0dad85d3d3d231c7066616ce001abb00f78f7d616a92f402ffb) 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. ## Source: ossf-package-analysis (c6d84b351fba942da6f2e2d1876fb13b4532a6b9b389aa3a830db6e52a587f56) The OpenSSF Package Analysis project identified 'token-usage-tracker' @ 1.0.12 (npm) as malicious. It is considered malicious because: - The package executes one or more commands associated with malicious behavior.