Added malware warning indicators to script analysis pages
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Refined malware detection patterns achieving under 5% false positive rate
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Fixed AI analyzer to correctly identify critical malware patterns
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Added Meta/Facebook brand detection to security analysis
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Fixed AI classification thresholds for more accurate risk scoring
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Added trusted domain badge to individual script analysis pages
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Improved scan processing reliability with optimized timeout settings for better resource management
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Enhanced logging infrastructure for improved performance monitoring across distributed systems
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Improved network traffic capture quality by preventing empty packet captures from being stored
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Infrastructure: Optimized internal data management for better system performance
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Enhanced system health monitoring with TLS certificate analysis status tracking
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Enhanced scan pipeline reliability analysis for better error detection and automatic recovery
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Improved code analysis accuracy by reducing false positive detections in fingerprint matching
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Expand API documentation with 10 new endpoints: YARA malware detection (4 endpoints), registrar search, tracking keys analysis (3 endpoints), Chrome network debug logs, and nameserver domain lookups - Visit /api-docs
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Add confidence level indicators when identifying code libraries in scan results
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Improved accuracy in library identification by reducing false matches for generic filenames
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Launch Model Context Protocol (MCP) server for AI integration - enables Claude Desktop and other AI tools to directly access ScanMalware security scanning capabilities - Visit https://mcp.scanmalware.com
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Enhanced library detection accuracy for inline and embedded code blocks