A new coordinated cross-ecosystem software supply chain attack campaign has targeted npm, PyPI, and Crates.io to distribute credential-stealing malware. The campaign, codenamed TrapDoor, spans more than 34 malicious packages across over 384 versions. The earliest activity was recorded on May 22, 2026, at 8:20 p.m. UTC, with new packages published to the ecosystems in waves from a cluster of accounts in quick succession. "TrapDoor targets developers in crypto, DeFi, Solana, and AI communities," Socket said. "The malicious packages are designed to steal developer secrets, crypto wallets, SSH keys, cloud credentials, browser data, and environment variables." "Several npm packages also deploy a shared payload, trap-core.js, that scans for credentials, validates AWS and GitHub tokens, attempts SSH-based lateral movement, and plants persistence through .cursorrules, CLAUDE.md, Git hooks, shell hooks, systemd, cron, and SSH." It's worth noting that the activity has no connection to another campaign of the same name that HUMAN's Satori Threat Intelligence and Research Team detailed last week as engaging in ad fraud by distributing 455 Android apps through the Google Play Store. The operation is notable for its diverse delivery paths, using postinstall hooks, remote JavaScript payloads that are executed during package imports, and malicious build.rs scripts to target Sui and Move developers. The packages masquerade as seemingly harmless tools, giving attackers the ability to reach a broad audience. The npm packages have been found to run a JavaScript payload ("trap-core.js"), which scans for credentials and developer secrets, validates stolen credentials using AWS and GitHub API calls, and creates persistence on the host using cron jobs, systemd services, Git hooks, and moves across the network via SSH. The Rust crates, in a similar fashion, search for local keystores, encrypt the data using a hardcoded XOR key, and exfiltrate it to GitHub Gists. The packages are also noteworthy for the use of a build script ("build.rs") to trigger the execution of the malicious code. The Python packages associated with TrapDoor are designed such that they are auto-executed on import. The primary goal of the packages is to download JavaScript from an attacker-controlled GitHub Pages domain ("ddjidd564.github[.]io"), and run it using "node -e." "This technique allows the Python package to delegate execution to a remote JavaScript payload, giving the attacker more flexibilit