Developer Builds Lightweight Open-Source Anti-Stealer Tool for Windows in Python

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A developer frustrated with resource-heavy commercial security tools has created a standalone behavioral anti-stealer application aimed at blocking modern infostealers such as Lumma and RedLine. The tool is written in pure Python and compiles to a roughly 9MB executable, consuming only 0–2% CPU during testing, with no cloud telemetry or signature databases. It operates by scanning active network connections every five seconds, using process lineage validation, SHA-256 integrity checks, and file descriptor auditing to detect suspicious access to browser and messaging app data. The project is released under the GNU GPL v3 license and is publicly available on GitHub for community review. The developer is seeking feedback on whether the five-second detection interval is sufficient against fast-executing infostealers and on potential false-positive risks in Windows process tracking.

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