This detailed technical analysis dissects the Vietnamese Stealer malware, a Python-based info stealer using Telegram as C2, employing DLL sideloading, multi-layer obfuscation, and anti-analysis techniques including taunts to security researchers. The report provides a chronological investigation with indicators of compromise, attack chain details, and attribution insights, valuable for defenders tracking Vietnamese threat actors and similar campaigns.

The content provides original, in-depth technical research on a sophisticated malware campaign with actionable intelligence and detailed attack chain analysis, fitting the platform's criteria for valuable threat intelligence.

Defenders should update detection rules to identify DLL sideloading via Adobe binaries, monitor for suspicious Python masquerading processes, analyze network traffic for Telegram-based C2 communications, and apply behavioral detections for multi-layer obfuscated payloads. Incorporate indicators and tactics from this report into threat hunting and endpoint protection strategies.