A sophisticated supply chain attack campaign has expanded to 471 affected artifacts across npm and PyPI, targeting developers through malicious packages. The campaign uses three distinct delivery methods: executable .pth startup hooks, trojanized native .abi3.so extensions that execute at import time, and a split loader-payload architecture that searches Python's sys.path. Twenty-three newly identified PyPI packages masquerade as bioinformatics tools, AI frameworks, and popular libraries like requests and Flask. The attack deploys heavily obfuscated JavaScript stealers via Bun runtime, harvesting high-value credentials including GitHub tokens, npm registry access, cloud credentials, SSH keys, and CI/CD secrets. The malware employs anti-analysis techniques with fake LLM prompt-injection headers designed to disrupt AI-assisted security scanners, while targeting developer workstations and automated build environments.