373 lines
16 KiB
C#
373 lines
16 KiB
C#
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using System;
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using System.Collections.Generic;
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using System.Net.Http;
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using System.Text;
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using System.Text.Json;
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using System.Threading.Tasks;
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using MemScanEDR.Models;
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namespace MemScanEDR.Services;
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public class AIAnalyzer
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{
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private readonly HttpClient _http = new();
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private AIConfig _config;
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public AIAnalyzer(AIConfig config)
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{
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_config = config;
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_http.Timeout = TimeSpan.FromSeconds(config.Timeout);
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}
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public void UpdateConfig(AIConfig config)
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{
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_config = config;
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_http.Timeout = TimeSpan.FromSeconds(config.Timeout);
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}
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public async Task<ScanResult> AnalyzeProcessAsync(ProcessInfo proc, List<SignatureMatch> matches, List<MemoryRegion> suspiciousRegions)
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{
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if (_config.Provider == AIProvider.Heuristic)
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return HeuristicAnalyze(proc, matches, suspiciousRegions);
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// Pre-filter: skip API call if nothing suspicious at all
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var preScore = QuickPreScore(proc, matches, suspiciousRegions);
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if (preScore < 0.05)
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{
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return new ScanResult
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{
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Pid = proc.Pid,
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ProcessName = proc.Name,
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RiskLevel = RiskLevel.Safe,
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RiskScore = 0.0,
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Indicators = new List<string>(),
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Reasoning = $"PID {proc.Pid} ({proc.Name}) | no suspicious indicators, skipped AI analysis",
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AIProvider = "heuristic/pre-filter",
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ScanTime = DateTime.Now
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};
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}
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try
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{
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var prompt = BuildPrompt(proc, matches, suspiciousRegions);
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var response = await CallAIAsync(prompt);
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return ParseResponse(proc, response);
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}
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catch (Exception ex)
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{
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var result = HeuristicAnalyze(proc, matches, suspiciousRegions);
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result.Reasoning += $" [AI API error: {ex.Message}]";
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return result;
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}
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}
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private static double QuickPreScore(ProcessInfo proc, List<SignatureMatch> matches, List<MemoryRegion> suspiciousRegions)
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{
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double s = 0;
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if (!proc.IsSigned && proc.IsTempPath) s += 0.30;
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var sysNames = new HashSet<string>(StringComparer.OrdinalIgnoreCase) { "svchost.exe", "csrss.exe", "lsass.exe", "winlogon.exe", "services.exe" };
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if (sysNames.Contains(proc.Name) && !proc.IsSystemPath) s += 0.25;
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var suspPorts = new HashSet<int> { 4444, 5555, 6666, 7777, 1337, 31337, 9999, 12345, 27015 };
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if (proc.Connections.Any(c => { var parts = c.RemoteAddr.Split(':'); return parts.Length >= 2 && int.TryParse(parts[^1], out var p) && suspPorts.Contains(p); })) s += 0.20;
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if (matches.Count > 0) s += 0.20;
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if (suspiciousRegions.Any(r => r.Protect.Contains("EXECUTE_READWRITE"))) s += 0.15;
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return Math.Min(s, 1.0);
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}
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private async Task<string> CallAIAsync(string userMessage)
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{
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if (_config.Provider == AIProvider.Claude)
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return await CallClaudeAsync(userMessage);
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// OpenAI-compatible / Local use the same OpenAI chat format
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var url = _config.Provider == AIProvider.Local
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? $"{_config.BaseUrl}/api/chat"
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: $"{_config.BaseUrl.TrimEnd('/')}/chat/completions";
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object requestBody = _config.Provider == AIProvider.Local
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? new { model = _config.Model, messages = new[] { new { role = "system", content = SystemPrompt }, new { role = "user", content = userMessage } }, stream = false }
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: new { model = _config.Model, messages = new[] { new { role = "system", content = SystemPrompt }, new { role = "user", content = userMessage } }, max_tokens = _config.MaxTokens, temperature = _config.Temperature };
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var json = JsonSerializer.Serialize(requestBody);
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var request = new HttpRequestMessage(HttpMethod.Post, url);
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request.Content = new StringContent(json, Encoding.UTF8, "application/json");
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if (!string.IsNullOrEmpty(_config.ApiKey))
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request.Headers.Add("Authorization", $"Bearer {_config.ApiKey}");
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var response = await _http.SendAsync(request);
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response.EnsureSuccessStatusCode();
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var responseJson = await response.Content.ReadAsStringAsync();
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using var doc = JsonDocument.Parse(responseJson);
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if (_config.Provider == AIProvider.Local)
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return doc.RootElement.GetProperty("message").GetProperty("content").GetString() ?? "";
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return doc.RootElement.GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString() ?? "";
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}
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private async Task<string> CallClaudeAsync(string userMessage)
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{
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var url = $"{_config.BaseUrl.TrimEnd('/')}/v1/messages";
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var requestBody = new
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{
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model = _config.Model,
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max_tokens = _config.MaxTokens,
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system = SystemPrompt,
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messages = new[] { new { role = "user", content = userMessage } }
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};
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var json = JsonSerializer.Serialize(requestBody);
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var request = new HttpRequestMessage(HttpMethod.Post, url);
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request.Content = new StringContent(json, Encoding.UTF8, "application/json");
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request.Headers.Add("x-api-key", _config.ApiKey);
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request.Headers.Add("anthropic-version", "2023-06-01");
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var response = await _http.SendAsync(request);
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response.EnsureSuccessStatusCode();
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var responseJson = await response.Content.ReadAsStringAsync();
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using var doc = JsonDocument.Parse(responseJson);
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return doc.RootElement.GetProperty("content")[0].GetProperty("text").GetString() ?? "";
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}
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private ScanResult ParseResponse(ProcessInfo proc, string content)
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{
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content = content.Trim();
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if (content.StartsWith("```"))
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{
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var lines = content.Split('\n');
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content = string.Join('\n', lines[1..^1]);
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}
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try
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{
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using var doc = JsonDocument.Parse(content);
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var root = doc.RootElement;
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var riskLevel = root.GetProperty("risk_level").GetString() switch
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{
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"high" => RiskLevel.High,
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"suspicious" => RiskLevel.Suspicious,
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_ => RiskLevel.Safe
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};
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var indicators = new List<string>();
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if (root.TryGetProperty("indicators", out var indArr))
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foreach (var ind in indArr.EnumerateArray())
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indicators.Add(ind.GetString() ?? "");
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return new ScanResult
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{
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Pid = proc.Pid,
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ProcessName = proc.Name,
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RiskLevel = riskLevel,
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RiskScore = root.GetProperty("risk_score").GetDouble(),
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Indicators = indicators,
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Reasoning = root.GetProperty("reasoning").GetString() ?? "",
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AIProvider = $"{_config.Provider}/{_config.Model}",
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ScanTime = DateTime.Now
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};
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}
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catch
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{
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return new ScanResult
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{
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Pid = proc.Pid,
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ProcessName = proc.Name,
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RiskLevel = RiskLevel.Safe,
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RiskScore = 0,
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Reasoning = content,
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AIProvider = $"{_config.Provider}/{_config.Model}",
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ScanTime = DateTime.Now
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};
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}
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}
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private string BuildPrompt(ProcessInfo proc, List<SignatureMatch> matches, List<MemoryRegion> suspiciousRegions)
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{
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var sb = new StringBuilder();
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sb.AppendLine("=== PROCESS DATA ===");
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sb.AppendLine($"PID: {proc.Pid}");
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sb.AppendLine($"Name: {proc.Name}");
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sb.AppendLine($"Path: {(string.IsNullOrEmpty(proc.ExePath) ? "unknown" : proc.ExePath)}");
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sb.AppendLine($"Parent: {proc.ParentName} (PPID: {proc.Ppid})");
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sb.AppendLine($"CommandLine: {proc.CmdLine}");
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sb.AppendLine($"Signed: {proc.IsSigned}");
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sb.AppendLine($"Signer: {(string.IsNullOrEmpty(proc.Signer) ? "-" : proc.Signer)}");
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sb.AppendLine($"SystemPath: {proc.IsSystemPath}");
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sb.AppendLine($"TempPath: {proc.IsTempPath}");
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sb.AppendLine($"ThreadCount: {proc.ThreadCount}");
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sb.AppendLine($"WorkingSetMB: {proc.WorkingSetMB}");
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if (proc.Connections.Count > 0)
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{
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sb.AppendLine($"\nNetworkConnections ({proc.Connections.Count}):");
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foreach (var c in proc.Connections.Take(8))
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sb.AppendLine($" {c.Protocol} {c.LocalAddr} -> {c.RemoteAddr} [{c.State}]");
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}
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else
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{
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sb.AppendLine("\nNetworkConnections: none");
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}
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if (matches.Count > 0)
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{
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sb.AppendLine($"\nMemorySignatures ({matches.Count}):");
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foreach (var m in matches.Take(10))
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sb.AppendLine($" [{m.Severity}] [{m.Category}] {m.SigId} @ {m.Address}: {m.Description}");
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}
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else
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{
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sb.AppendLine("\nMemorySignatures: none");
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}
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if (suspiciousRegions.Count > 0)
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{
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sb.AppendLine($"\nSuspiciousMemoryRegions ({suspiciousRegions.Count}):");
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foreach (var r in suspiciousRegions.Take(5))
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sb.AppendLine($" 0x{r.BaseAddress:X} size={r.Size} protect={r.Protect} type={r.Type} state={r.State}");
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}
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else
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{
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sb.AppendLine("\nSuspiciousMemoryRegions: none");
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}
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sb.AppendLine("\n=== ANALYZE THIS PROCESS ===");
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return sb.ToString();
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}
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public ScanResult HeuristicAnalyze(ProcessInfo proc, List<SignatureMatch> matches, List<MemoryRegion> suspiciousRegions)
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{
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double score = 0;
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var indicators = new List<string>();
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var reasons = new List<string>();
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// Rule 1: unsigned + temp path
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if (!proc.IsSigned && proc.IsTempPath)
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{
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score += 0.30;
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indicators.Add("unsigned_temp_path");
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reasons.Add("unsigned executable in temp directory");
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}
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// Rule 2: process masquerading
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var sysNames = new HashSet<string>(StringComparer.OrdinalIgnoreCase) {
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"svchost.exe", "csrss.exe", "lsass.exe", "winlogon.exe", "services.exe"
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};
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if (sysNames.Contains(proc.Name) && !proc.IsSystemPath)
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{
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score += 0.25;
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indicators.Add("process_masquerading");
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reasons.Add($"system process name in non-system path");
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}
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// Rule 3: suspicious ports
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var suspPorts = new HashSet<int> { 4444, 5555, 6666, 7777, 1337, 31337 };
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foreach (var conn in proc.Connections)
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{
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var parts = conn.RemoteAddr.Split(':');
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if (parts.Length == 2 && int.TryParse(parts[1], out var port) && suspPorts.Contains(port))
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{
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score += 0.20;
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indicators.Add("suspicious_port");
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reasons.Add($"suspicious remote port {port}");
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break;
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}
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}
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// Rule 4: signature matches
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if (matches.Count > 0)
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{
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var high = matches.Count(m => m.Severity == "high");
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var med = matches.Count(m => m.Severity == "medium");
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score += Math.Min(high * 0.20, 0.4);
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score += Math.Min(med * 0.08, 0.2);
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if (high > 0) { indicators.Add("high_severity_match"); reasons.Add($"{high} high-severity signatures"); }
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if (matches.Any(m => m.Category == "shellcode")) { score += 0.15; indicators.Add("shellcode_detected"); }
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if (matches.Any(m => m.Category == "c2")) { score += 0.20; indicators.Add("c2_pattern"); }
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}
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// Rule 5: suspicious memory regions
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var rwxCount = suspiciousRegions.Count(r => r.Protect.Contains("EXECUTE_READWRITE") && r.Type == "PRIVATE");
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if (rwxCount > 0) { score += Math.Min(rwxCount * 0.12, 0.25); indicators.Add("rwx_private_memory"); }
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score = Math.Min(score, 1.0);
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var level = score >= 0.75 ? RiskLevel.High : score >= 0.50 ? RiskLevel.Suspicious : RiskLevel.Safe;
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return new ScanResult
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{
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Pid = proc.Pid,
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ProcessName = proc.Name,
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RiskLevel = level,
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RiskScore = score,
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Indicators = indicators,
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Reasoning = $"PID {proc.Pid} ({proc.Name}) | {string.Join("; ", reasons)} | score={score:F2}",
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AIProvider = "heuristic/rule-engine-v1",
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ScanTime = DateTime.Now
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};
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}
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public async Task<(bool ok, string message)> TestConnectionAsync()
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{
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if (_config.Provider == AIProvider.Heuristic) return (true, "Heuristic mode (no API)");
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try
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{
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await CallAIAsync("ping");
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return (true, $"OK - {_config.Provider}/{_config.Model}");
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}
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catch (Exception ex) { return (false, ex.Message); }
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}
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private const string SystemPrompt = @"You are a Windows memory security expert analyzing a single process for threats.
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=== YOUR TASK ===
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Given process metadata, memory scan results, and memory region data, determine if the process is safe, suspicious, or high risk.
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=== RISK LEVEL DEFINITIONS ===
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""safe"" — The process exhibits NORMAL or benign behavior:
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- Signed binaries from trusted publishers (Microsoft, Adobe, major vendors)
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- DLL injection by standard antivirus/EDR components
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- Internet connections to normal CDNs/cloud services (Azure, AWS, Google)
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- Small private RWX regions used by .NET JIT, JavaScript engines (node.js), or Java
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- Hooking by regular security products
|
|||
|
|
- Processes in System32 that are known Windows components
|
|||
|
|
**IMPORTANT: The vast majority (>95%) of processes are SAFE. Default to ""safe"" unless you have clear threat evidence.**
|
|||
|
|
|
|||
|
|
""suspicious"" — ONE or TWO of the following are present:
|
|||
|
|
- Unsigned executable in temporary folder (%TEMP%, Downloads)
|
|||
|
|
- Process with system-critical name (svchost.exe, lsass.exe, csrss.exe) running from non-system path
|
|||
|
|
- Known C2 ports (4444, 5555, 6666, 1337, etc.)
|
|||
|
|
- Multiple large PAGE_EXECUTE_READWRITE private regions
|
|||
|
|
- Signature matches of medium severity
|
|||
|
|
- Unsigned DLL loaded from suspicious path
|
|||
|
|
**A process needs at least 2-3 weak signals to be suspicious, or 1 strong signal.**
|
|||
|
|
|
|||
|
|
""high"" — CLEAR evidence of malware, requiring MULTIPLE concurring signals:
|
|||
|
|
- Shellcode signature match + RWX private memory + unsigned temp path (all 3 together)
|
|||
|
|
- C2 pattern match + network to suspicious remote address
|
|||
|
|
- Reflective DLL injection signature + PE header in private memory
|
|||
|
|
- Process hollowing or process injection signature matches
|
|||
|
|
**Single indicators are NOT enough for ""high"". Requires 3+ concurring indicators.**
|
|||
|
|
|
|||
|
|
=== JSON RESPONSE FORMAT ===
|
|||
|
|
Respond with ONLY this JSON (no markdown, no explanation):
|
|||
|
|
{""risk_level"":""safe"",""risk_score"":0.0,""indicators"":[],""reasoning"":""""}
|
|||
|
|
|
|||
|
|
Fields:
|
|||
|
|
- risk_level: ""safe"" | ""suspicious"" | ""high""
|
|||
|
|
- risk_score: 0.0–1.0 (0.0–0.30=safe, 0.31–0.69=suspicious, 0.70–1.0=high)
|
|||
|
|
- indicators: list of 0–5 key indicator strings (e.g. ""unsigned_temp_binary"", ""rwx_shellcode_region"", ""c2_network"", ""process_masquerading"", ""dll_injection_sig"")
|
|||
|
|
- reasoning: 1–2 sentence summary
|
|||
|
|
|
|||
|
|
=== IMPORTANT RULES ===
|
|||
|
|
1. Error on the side of ""safe"". Only elevate when you see CONCRETE threat indicators.
|
|||
|
|
2. A memory signature match alone does NOT make a process malicious — many legitimate tools use similar techniques.
|
|||
|
|
3. .NET/Java/Node.js processes legitimately use RWX memory — this alone is NOT suspicious.
|
|||
|
|
4. Consider the process name and path context — calc.exe in System32 is safe; calc.exe in %TEMP% is not.
|
|||
|
|
5. Process injection indicators combined with unsigned temp binaries is dangerous.
|
|||
|
|
6. Only list indicators that are actually present — never fabricate evidence.";
|
|||
|
|
}
|