MemScan-EDR

Open-Source, Lightweight, Memory-Focused Windows Endpoint Detection & Response (EDR) Tool

MemScan-EDR scans all running processes, inspects memory for shellcode/injection/C2 patterns, and uses AI (OpenAI / Claude / local models) to classify threats in real time. Built with C# WPF for zero-dependency deployment as a single .exe.

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TODO

• 1. YARA rule file loading & matching engine
• 2. TCP connection PID association
• 3. Memory dump & PE structure analysis
• 4. Audit log persistence
• 5. Report export (PDF / HTML)
• 6. Scheduled scan
• 7. One-click terminate high-risk processes
• 8. Hidden process detection (EPROCESS walk)
• 9. Multi AI provider + anti-false-positive (v1.2)
• 10. CE-MCP auto-start (v1.1)
• 11. Chinese/English UI toggle (v1.1)
• 12. 12 built-in memory signatures (v1.0)
• 13. WPF white-theme UI (v1.0)

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Features

Core Capabilities

Capability	Description
Process Enumeration	Full process list with PID, name, path, parent tree, command line, digital signature, thread count, memory usage
Memory Scanning	VirtualQueryEx traversal of every committed region; detects RWX private memory, unbacked executable pages
Signature Matching	12 built-in detection rules: NOP sled, CALL/POP EIP, ROR13 hash, CobaltStrike Beacon, Meterpreter, ReflectiveLoader, Mimikatz, etc.
AI Threat Classification	Multi-provider support (OpenAI-compatible / Claude / Ollama / LM Studio) + heuristic fallback engine
CE-MCP Integration	Auto-launch Cheat Engine MCP server for kernel-level memory operations
Chinese / English UI	One-click language toggle; all labels, buttons, and alerts switch instantly
Single-File EXE	dotnet publish produces a self-contained MemScan-EDR.exe — no .NET runtime needed on target

AI Providers

Provider	Description	Base URL Example
OpenAI-Compatible	OpenAI / DeepSeek / Qwen / Zhipu / any OpenAI-format API	https://api.openai.com/v1
Claude	Anthropic Claude via Messages API	https://api.anthropic.com
Local	Ollama / LM Studio / vLLM / llama.cpp server	http://127.0.0.1:11434
Heuristic	Built-in rule engine (no API key needed)	N/A

Built-in Signatures

Signature	Category	Severity
SHELLCODE_NOP_SLED	Shellcode	Medium
SHELLCODE_GETEIP	Shellcode	Medium
SHELLCODE_ROR13	Shellcode	Medium
C2_COBALTSTRIKE	C2	High
C2_METERPRETER	C2	Medium
INJECTION_REFLECTIVE	Injection	High
INJECTION_CRT	Injection	Medium
INJECTION_VAE	Injection	Medium
MALWARE_MIMIKATZ	Malware	High
CRYPTO_MINER	Crypto	High
RANSOM_NOTE	Malware	High
PS_DOWNLOAD	Malware	Medium

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Architecture

TitleBar ── Window Chrome (Min/Max/Close, Language Toggle)
Sidebar ── Navigation (Dashboard / Processes / Scan / Settings)
Content ── 4 Views (WPF Grid Visibility switching)

Services:
  ProcessCollector ── CreateToolhelp32Snapshot + WMI → ProcessInfo[]
  MemoryScanner    ── VirtualQueryEx + signature walk  → SignatureMatch[]
  AIAnalyzer       ── HTTP → OpenAI/Claude/Ollama API  → ScanResult
  CeMcpManager     ── Process.Start → python server.py

Data flow:

[Start Scan] → ProcessCollector.CollectAll()
    → for each ProcessInfo:
        → MemoryScanner.ScanProcess() → signature matches
        → MemoryScanner.GetSuspiciousRegions() → RWX private regions
        → QuickPreScore() — skip API if score < 0.05
        → AIAnalyzer.AnalyzeProcessAsync() → ScanResult
    → Update DataGrid / Stats in real-time via IProgress<>

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Quick Start

Prerequisites

• Windows 10 / 11 (x64)
• .NET 8 SDK
• Administrator privileges (for memory scanning)

Build

git clone https://github.com/Huang-158/MemScan-EDR.git
cd MemScan-EDR\src-csharp

dotnet build MemScanEDR.sln

dotnet publish MemScanEDR\MemScanEDR.csproj -c Release -r win-x64 --self-contained true -p:PublishSingleFile=true -o publish

.\publish\MemScan-EDR.exe

Or:

.\scripts\build_csharp.bat

CE-MCP Setup (Optional)

1. Place ce-mcp-server next to the project
2. Or configure the path in Settings → CE-MCP Server Path
3. Set to disabled to run without CE-MCP

AI Configuration

1. Select provider: Heuristic / OpenAI-Compatible / Claude / Local
2. Enter API Base URL
3. Enter API Key (stored locally)
4. Enter Model name
5. Click Save

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How AI Analysis Works

1. Pre-filter: Clean processes (signed, system path, no RWX, no sig matches) → Safe, skip API
2. Structured Prompt: Each process gets metadata, connections, signatures, suspicious regions
3. Safe-by-Default: AI told >95% are benign; needs multiple concurring indicators
4. Heuristic Fallback: Conservative thresholds (≥0.50 suspicious, ≥0.75 high) when API is down

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Project Structure

MemScan-EDR/
├── src-csharp/
│   ├── MemScanEDR.sln
│   └── MemScanEDR/
│       ├── MemScanEDR.csproj
│       ├── App.xaml / App.xaml.cs
│       ├── MainWindow.xaml / MainWindow.xaml.cs
│       ├── Models/
│       │   ├── ProcessInfo.cs
│       │   ├── AIConfig.cs
│       │   └── AppSettings.cs
│       └── Services/
│           ├── ProcessCollector.cs
│           ├── MemoryScanner.cs
│           ├── AIAnalyzer.cs
│           └── CeMcpManager.cs
├── rules/
│   ├── shellcode.yar
│   ├── injection.yar
│   └── malware_strings.yar
├── scripts/
│   └── build_csharp.bat
├── LICENSE
├── README.md       # 中文文档（默认）
└── README_EN.md    # English docs (current)

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Disclaimer

This project is not affiliated with Cheat Engine, Dark Byte, or any AI provider (OpenAI, Anthropic, etc.).

This tool is intended for legitimate security research, education, and authorized security assessments only. Unauthorized use is illegal. Users are responsible for complying with all applicable laws.

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License

MIT License — see LICENSE.