diff --git a/ghost-core/src/anomaly.rs b/ghost-core/src/anomaly.rs index 5862166..58ea98b 100644 --- a/ghost-core/src/anomaly.rs +++ b/ghost-core/src/anomaly.rs @@ -1,4 +1,4 @@ -use crate::{GhostError, ProcessInfo, Result}; +use crate::{ProcessInfo, Result}; use chrono::Timelike; use serde::{Deserialize, Serialize}; use std::collections::HashMap; @@ -41,6 +41,7 @@ pub struct ProcessProfile { } /// Advanced ML-based anomaly detection for process behavior +#[derive(Debug)] pub struct AnomalyDetector { process_profiles: HashMap, global_baseline: Option, @@ -69,10 +70,13 @@ impl AnomalyDetector { ) -> ProcessFeatures { let executable_regions = memory_regions .iter() - .filter(|r| matches!( - r.protection, - crate::MemoryProtection::ReadExecute | crate::MemoryProtection::ReadWriteExecute - )) + .filter(|r| { + matches!( + r.protection, + crate::MemoryProtection::ReadExecute + | crate::MemoryProtection::ReadWriteExecute + ) + }) .count(); let rwx_regions = memory_regions @@ -91,11 +95,7 @@ impl AnomalyDetector { .count(); let total_memory_size: usize = memory_regions.iter().map(|r| r.size).sum(); - let largest_region_size = memory_regions - .iter() - .map(|r| r.size) - .max() - .unwrap_or(0); + let largest_region_size = memory_regions.iter().map(|r| r.size).max().unwrap_or(0); // Calculate memory fragmentation (std dev of region sizes) let mean_size = if memory_regions.is_empty() { @@ -117,10 +117,7 @@ impl AnomalyDetector { // Thread-based features let thread_creation_rate = if let Some(thread_list) = threads { - let recent_threads = thread_list - .iter() - .filter(|t| t.creation_time > 0) - .count(); + let recent_threads = thread_list.iter().filter(|t| t.creation_time > 0).count(); recent_threads as f64 / thread_list.len().max(1) as f64 } else { 0.0 @@ -243,12 +240,12 @@ impl AnomalyDetector { .iter() .map(|(feature, score)| { let weight = match feature.as_str() { - "rwx_regions" => 0.3, // High weight for RWX regions + "rwx_regions" => 0.3, // High weight for RWX regions "thread_creation_rate" => 0.25, // High weight for thread anomalies - "entropy_score" => 0.2, // Medium weight for entropy - "api_call_frequency" => 0.15, // Medium weight for API calls - "memory_fragmentation" => 0.1, // Lower weight for fragmentation - _ => 0.05, // Low weight for other features + "entropy_score" => 0.2, // Medium weight for entropy + "api_call_frequency" => 0.15, // Medium weight for API calls + "memory_fragmentation" => 0.1, // Lower weight for fragmentation + _ => 0.05, // Low weight for other features }; score * weight }) @@ -259,8 +256,8 @@ impl AnomalyDetector { // Calculate confidence based on sample size and feature coverage let confidence = if let Some(profile) = baseline { - (profile.sample_count as f64 / 100.0).min(1.0) * - (component_scores.len() as f64 / 6.0).min(1.0) + (profile.sample_count as f64 / 100.0).min(1.0) + * (component_scores.len() as f64 / 6.0).min(1.0) } else { 0.0 }; @@ -288,12 +285,12 @@ impl AnomalyDetector { if std > 0.0 { // Calculate z-score let z_score = (value - mean).abs() / std; - + // Convert z-score to anomaly score (0-1) let anomaly_score = (z_score / 4.0).min(1.0); // Cap at 4 standard deviations - + component_scores.insert(feature_name.to_string(), anomaly_score); - + // Mark as outlier if beyond threshold if z_score > self.outlier_threshold { outlier_features.push(format!( @@ -334,31 +331,52 @@ impl AnomalyDetector { for (feature_name, value) in feature_values { // Update mean - let old_mean = profile.feature_means.get(feature_name).copied().unwrap_or(0.0); + let old_mean = profile + .feature_means + .get(feature_name) + .copied() + .unwrap_or(0.0); let new_mean = old_mean + (value - old_mean) / n; - profile.feature_means.insert(feature_name.to_string(), new_mean); + profile + .feature_means + .insert(feature_name.to_string(), new_mean); // Update standard deviation (using variance) if n > 1.0 { - let old_std = profile.feature_stds.get(feature_name).copied().unwrap_or(0.0); + let old_std = profile + .feature_stds + .get(feature_name) + .copied() + .unwrap_or(0.0); let old_variance = old_std * old_std; - let new_variance = ((n - 2.0) * old_variance + (value - old_mean) * (value - new_mean)) / (n - 1.0); + let new_variance = ((n - 2.0) * old_variance + + (value - old_mean) * (value - new_mean)) + / (n - 1.0); let new_std = new_variance.max(0.0).sqrt(); - profile.feature_stds.insert(feature_name.to_string(), new_std); + profile + .feature_stds + .insert(feature_name.to_string(), new_std); } } profile.last_updated = chrono::Utc::now(); } - fn estimate_api_call_frequency(&self, _process: &ProcessInfo, memory_regions: &[crate::MemoryRegion]) -> f64 { + fn estimate_api_call_frequency( + &self, + _process: &ProcessInfo, + memory_regions: &[crate::MemoryRegion], + ) -> f64 { // Heuristic: More executable regions might indicate more API calls let executable_count = memory_regions .iter() - .filter(|r| matches!( - r.protection, - crate::MemoryProtection::ReadExecute | crate::MemoryProtection::ReadWriteExecute - )) + .filter(|r| { + matches!( + r.protection, + crate::MemoryProtection::ReadExecute + | crate::MemoryProtection::ReadWriteExecute + ) + }) .count(); (executable_count as f64 / memory_regions.len().max(1) as f64) * 100.0 @@ -407,4 +425,4 @@ impl Default for AnomalyDetector { fn default() -> Self { Self::new() } -} \ No newline at end of file +} diff --git a/ghost-core/src/behavioral_ml.rs b/ghost-core/src/behavioral_ml.rs index dba88ac..6943025 100644 --- a/ghost-core/src/behavioral_ml.rs +++ b/ghost-core/src/behavioral_ml.rs @@ -1,7 +1,7 @@ -use crate::{ProcessInfo, MemoryRegion, ThreadInfo, GhostError}; +use crate::{GhostError, MemoryRegion, ProcessInfo, ThreadInfo}; use serde::{Deserialize, Serialize}; use std::collections::HashMap; -use std::time::{SystemTime, Duration}; +use std::time::{Duration, SystemTime}; #[derive(Debug, Clone, Serialize, Deserialize)] pub struct AdvancedBehavioralML { @@ -169,16 +169,16 @@ impl AdvancedBehavioralML { ) -> Result { // Extract behavioral features let features = self.extract_features(process, memory_regions, threads)?; - + // Run ensemble prediction let threat_probability = self.predict_threat(&features).await?; - + // Detect anomalies let anomalies = self.detect_anomalies(&features)?; - + // Predict techniques let predicted_techniques = self.predict_techniques(&features)?; - + Ok(BehavioralAnalysisResult { threat_probability, predicted_techniques, @@ -204,21 +204,26 @@ impl AdvancedBehavioralML { _threads: &[ThreadInfo], ) -> Result, GhostError> { let mut features = Vec::new(); - + // Basic process features features.push(process.pid as f32); features.push(memory_regions.len() as f32); - + // Memory protection features - let rwx_count = memory_regions.iter() - .filter(|r| r.protection.is_readable() && r.protection.is_writable() && r.protection.is_executable()) + let rwx_count = memory_regions + .iter() + .filter(|r| { + r.protection.is_readable() + && r.protection.is_writable() + && r.protection.is_executable() + }) .count() as f32; features.push(rwx_count); - + // Size distribution let total_size: u64 = memory_regions.iter().map(|r| r.size as u64).sum(); features.push(total_size as f32); - + Ok(features) } @@ -246,4 +251,4 @@ impl AdvancedBehavioralML { pub fn get_statistics(&self) -> HashMap { self.statistics.model_performance.clone() } -} \ No newline at end of file +} diff --git a/ghost-core/src/detection.rs b/ghost-core/src/detection.rs index e5eab4b..7abc81a 100644 --- a/ghost-core/src/detection.rs +++ b/ghost-core/src/detection.rs @@ -4,18 +4,19 @@ //! analysis techniques including memory scanning, shellcode detection, //! process hollowing detection, and behavioral anomaly analysis. -use crate::{ - detect_hook_injection, AnomalyDetector, DetectionConfig, EvasionDetector, EvasionResult, - GhostError, HollowingDetector, MemoryProtection, MemoryRegion, MitreAnalysisResult, MitreAttackEngine, - ProcessInfo, ShellcodeDetector, ThreadInfo, ThreatContext, ThreatIntelligence, -}; #[cfg(target_os = "linux")] use crate::EbpfDetector; +use crate::{ + detect_hook_injection, AnomalyDetector, DetectionConfig, EvasionDetector, EvasionResult, + GhostError, HollowingDetector, MemoryProtection, MemoryRegion, MitreAnalysisResult, + MitreAttackEngine, ProcessInfo, ShellcodeDetector, ThreadInfo, ThreatContext, + ThreatIntelligence, +}; use serde::{Deserialize, Serialize}; use std::collections::HashMap; /// Threat classification levels for detected processes. -#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Hash)] +#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize, Hash)] pub enum ThreatLevel { /// Process appears normal with no suspicious indicators. Clean, @@ -56,6 +57,7 @@ pub struct DetectionResult { } /// Main detection engine that orchestrates all analysis components. +#[derive(Debug)] pub struct DetectionEngine { baseline: HashMap, shellcode_detector: ShellcodeDetector, @@ -180,22 +182,22 @@ impl DetectionEngine { indicators.push(format!("{} new threads created", diff)); confidence += 0.2; } - + // Detect significant RWX increase (possible injection) if rwx_count > baseline.rwx_regions + 1 { indicators.push("Rapid RWX region allocation".to_string()); confidence += 0.5; } } - + // Check for unusual memory patterns self.check_memory_patterns(memory_regions, &mut indicators, &mut confidence); - + // Analyze threads if provided if let Some(thread_list) = threads { self.analyze_threads(thread_list, &mut indicators, &mut confidence); } - + // Check for Windows hook injection if let Ok(hook_result) = detect_hook_injection(process.pid) { if hook_result.suspicious_count > 0 { @@ -205,13 +207,13 @@ impl DetectionEngine { )); confidence += 0.6; // High confidence for hook-based injection } - + if hook_result.global_hooks > 8 { indicators.push("Excessive global hooks (possible system compromise)".to_string()); confidence += 0.3; } } - + // Scan for shellcode patterns in executable memory regions let shellcode_detections = self.scan_for_shellcode(memory_regions); if !shellcode_detections.is_empty() { @@ -224,34 +226,41 @@ impl DetectionEngine { confidence += detection.confidence; } } - + // Check for process hollowing - if let Ok(Some(hollowing_detection)) = self.hollowing_detector.analyze_process(process, memory_regions) { + if let Ok(Some(hollowing_detection)) = self + .hollowing_detector + .analyze_process(process, memory_regions) + { for indicator in &hollowing_detection.indicators { indicators.push(format!("Process hollowing: {}", indicator)); } confidence += hollowing_detection.confidence; } - + // ML-based anomaly detection - let features = self.anomaly_detector.extract_features(process, memory_regions, threads); + let features = self + .anomaly_detector + .extract_features(process, memory_regions, threads); if let Ok(anomaly_score) = self.anomaly_detector.analyze_anomaly(process, &features) { if self.anomaly_detector.is_anomalous(&anomaly_score) { indicators.push(format!( "ML anomaly detected: {:.1}% confidence", anomaly_score.overall_score * 100.0 )); - + for outlier in &anomaly_score.outlier_features { indicators.push(format!("Outlier: {}", outlier)); } - + confidence += (anomaly_score.overall_score * anomaly_score.confidence) as f32; } } // Advanced evasion detection - let evasion_result = self.evasion_detector.analyze_evasion(process, memory_regions, threads.unwrap_or(&[])); + let evasion_result = + self.evasion_detector + .analyze_evasion(process, memory_regions, threads.unwrap_or(&[])); if evasion_result.confidence > 0.3 { for technique in &evasion_result.evasion_techniques { indicators.push(format!( @@ -260,14 +269,14 @@ impl DetectionEngine { technique.confidence * 100.0 )); } - + for indicator in &evasion_result.anti_analysis_indicators { indicators.push(format!("Anti-analysis: {}", indicator)); } - + // Increase confidence based on evasion sophistication confidence += evasion_result.confidence * 0.4; - + // Boost threat level for sophisticated evasion if evasion_result.sophistication_score > 0.7 { confidence += 0.2; // Additional boost for advanced evasion @@ -291,7 +300,10 @@ impl DetectionEngine { }; // Create initial detection result - let mut detection_result = DetectionResult { + + // Enrich with threat intelligence (async operation would be handled by caller) + // For now, we'll set a placeholder that can be enriched later + DetectionResult { process: process.clone(), threat_level, indicators, @@ -299,17 +311,16 @@ impl DetectionEngine { threat_context: None, evasion_analysis: None, mitre_analysis: None, - }; - - // Enrich with threat intelligence (async operation would be handled by caller) - // For now, we'll set a placeholder that can be enriched later - detection_result + } } /// Enrich detection result with threat intelligence - pub async fn enrich_with_threat_intel(&self, mut detection: DetectionResult) -> DetectionResult { + pub async fn enrich_with_threat_intel( + &self, + mut detection: DetectionResult, + ) -> DetectionResult { let threat_context = self.threat_intelligence.enrich_detection(&detection).await; - + // Update threat level based on threat intelligence findings if threat_context.risk_score > 0.8 { detection.threat_level = ThreatLevel::Malicious; @@ -321,11 +332,15 @@ impl DetectionEngine { // Add threat intelligence indicators for ioc in &threat_context.matched_iocs { - detection.indicators.push(format!("IOC Match: {} ({})", ioc.value, ioc.source)); + detection + .indicators + .push(format!("IOC Match: {} ({})", ioc.value, ioc.source)); } if let Some(actor) = &threat_context.threat_actor { - detection.indicators.push(format!("Attributed to: {}", actor.name)); + detection + .indicators + .push(format!("Attributed to: {}", actor.name)); } detection.threat_context = Some(threat_context); @@ -341,19 +356,23 @@ impl DetectionEngine { ) -> DetectionResult { // Perform standard detection let mut detection_result = self.analyze_process(process, memory_regions, Some(threads)); - + // Add evasion analysis - let evasion_result = self.evasion_detector.analyze_evasion(process, memory_regions, threads); - + let evasion_result = + self.evasion_detector + .analyze_evasion(process, memory_regions, threads); + // Update threat level based on evasion analysis if evasion_result.confidence > 0.7 { detection_result.threat_level = ThreatLevel::Malicious; - detection_result.confidence = (detection_result.confidence + evasion_result.confidence) / 2.0; + detection_result.confidence = + (detection_result.confidence + evasion_result.confidence) / 2.0; } else if evasion_result.confidence > 0.4 { detection_result.threat_level = ThreatLevel::Suspicious; - detection_result.confidence = (detection_result.confidence + evasion_result.confidence * 0.7) / 2.0; + detection_result.confidence = + (detection_result.confidence + evasion_result.confidence * 0.7) / 2.0; } - + detection_result.evasion_analysis = Some(evasion_result); detection_result } @@ -365,7 +384,7 @@ impl DetectionEngine { match ebpf_detector.process_events() { Ok(ebpf_events) => { let mut detection_results = Vec::new(); - + for ebpf_event in ebpf_events { // Convert eBPF detection event to standard DetectionResult let detection_result = DetectionResult { @@ -382,10 +401,10 @@ impl DetectionEngine { threat_context: None, evasion_analysis: None, }; - + detection_results.push(detection_result); } - + Ok(detection_results) } Err(e) => { @@ -401,7 +420,9 @@ impl DetectionEngine { /// Get eBPF detector statistics (Linux only) #[cfg(target_os = "linux")] pub fn get_ebpf_statistics(&self) -> Option { - self.ebpf_detector.as_ref().map(|detector| detector.get_statistics()) + self.ebpf_detector + .as_ref() + .map(|detector| detector.get_statistics()) } /// Check for suspicious memory patterns @@ -429,7 +450,7 @@ impl DetectionEngine { // Check for memory gaps that might indicate hollowing let mut sorted_regions: Vec<_> = regions.iter().collect(); sorted_regions.sort_by_key(|r| r.base_address); - + for window in sorted_regions.windows(2) { let gap = window[1].base_address - (window[0].base_address + window[0].size); if gap > 0x100000 && gap < 0x1000000 { @@ -466,10 +487,7 @@ impl DetectionEngine { } // Check for abnormal thread creation time patterns - let recent_threads = threads - .iter() - .filter(|t| t.creation_time > 0) - .count(); + let recent_threads = threads.iter().filter(|t| t.creation_time > 0).count(); if recent_threads as f32 / threads.len() as f32 > 0.5 { indicators.push("High ratio of recently created threads".to_string()); @@ -536,7 +554,9 @@ impl DetectionEngine { memory_regions: &[MemoryRegion], threads: &[ThreadInfo], ) -> Result { - self.mitre_engine.analyze_attack_patterns(process, memory_regions, threads).await + self.mitre_engine + .analyze_attack_patterns(process, memory_regions, threads) + .await } /// Enrich detection result with MITRE ATT&CK analysis @@ -546,14 +566,18 @@ impl DetectionEngine { memory_regions: &[MemoryRegion], threads: &[ThreadInfo], ) -> DetectionResult { - if let Ok(mitre_analysis) = self.mitre_engine.analyze_attack_patterns(&detection.process, memory_regions, threads).await { + if let Ok(mitre_analysis) = self + .mitre_engine + .analyze_attack_patterns(&detection.process, memory_regions, threads) + .await + { // Update threat level based on MITRE analysis if mitre_analysis.risk_assessment.overall_risk_score > 0.8 { detection.threat_level = ThreatLevel::Malicious; - } else if mitre_analysis.risk_assessment.overall_risk_score > 0.5 { - if detection.threat_level == ThreatLevel::Clean { - detection.threat_level = ThreatLevel::Suspicious; - } + } else if mitre_analysis.risk_assessment.overall_risk_score > 0.5 + && detection.threat_level == ThreatLevel::Clean + { + detection.threat_level = ThreatLevel::Suspicious; } // Add MITRE technique indicators @@ -576,7 +600,8 @@ impl DetectionEngine { } // Update confidence with MITRE insights - detection.confidence = (detection.confidence + mitre_analysis.risk_assessment.overall_risk_score) / 2.0; + detection.confidence = + (detection.confidence + mitre_analysis.risk_assessment.overall_risk_score) / 2.0; detection.mitre_analysis = Some(mitre_analysis); } diff --git a/ghost-core/src/ebpf.rs b/ghost-core/src/ebpf.rs index 423f882..39d4c36 100644 --- a/ghost-core/src/ebpf.rs +++ b/ghost-core/src/ebpf.rs @@ -1,7 +1,14 @@ +// eBPF module - currently stub implementation for Linux +// Most functionality not yet implemented + +#[cfg(target_os = "linux")] +use crate::ProcessInfo; +#[cfg(target_os = "linux")] use std::collections::HashMap; +#[cfg(target_os = "linux")] use std::sync::{Arc, Mutex}; -use std::time::{SystemTime, Duration}; -use crate::{ProcessInfo, MemoryRegion, DetectionResult, ThreatLevel}; +#[cfg(target_os = "linux")] +use std::time::{Duration, SystemTime}; /// Linux eBPF-based Process Injection Detection /// Provides kernel-level tracing and detection capabilities on Linux systems @@ -444,7 +451,10 @@ pub enum FilterCondition { ProcessName(String), ProcessId(u32), UserId(u32), - EventFrequency { max_events: u32, time_window: Duration }, + EventFrequency { + max_events: u32, + time_window: Duration, + }, MemoryThreshold(u64), FilePattern(String), NetworkDestination(String), @@ -504,7 +514,7 @@ impl EbpfDetector { // Set up event processing self.setup_event_handlers()?; - + // Configure default filters self.setup_default_filters()?; @@ -625,10 +635,8 @@ impl EbpfDetector { Box::new(ProcessCreateHandler::new()), ); - self.event_processor.register_handler( - EventType::MemoryMap, - Box::new(MemoryMapHandler::new()), - ); + self.event_processor + .register_handler(EventType::MemoryMap, Box::new(MemoryMapHandler::new())); self.event_processor.register_handler( EventType::MemoryProtect, @@ -684,7 +692,7 @@ impl EbpfDetector { /// Process events from the ring buffer pub fn process_events(&mut self) -> Result, EbpfError> { let mut detection_events = Vec::new(); - + let events = { let mut buffer = self.ring_buffer.lock().unwrap(); buffer.drain_events() @@ -746,8 +754,8 @@ impl EbpfDetector { loaded_programs: self.program_manager.loaded_programs.len(), total_events_processed: 0, // Would be tracked in real implementation detections_generated: 0, // Would be tracked in real implementation - filter_efficiency: 0.0, // Would be calculated in real implementation - performance_impact: 0.0, // Would be measured in real implementation + filter_efficiency: 0.0, // Would be calculated in real implementation + performance_impact: 0.0, // Would be measured in real implementation } } } @@ -966,4 +974,4 @@ impl EbpfDetector { pub fn initialize(&mut self) -> Result<(), &'static str> { Err("eBPF detection is only supported on Linux") } -} \ No newline at end of file +} diff --git a/ghost-core/src/error.rs b/ghost-core/src/error.rs index d5b6e72..b55e6b7 100644 --- a/ghost-core/src/error.rs +++ b/ghost-core/src/error.rs @@ -81,4 +81,4 @@ impl From for GhostError { } /// Type alias for Result with GhostError as the error type. -pub type Result = std::result::Result; \ No newline at end of file +pub type Result = std::result::Result; diff --git a/ghost-core/src/evasion.rs b/ghost-core/src/evasion.rs index cd568eb..03c09d3 100644 --- a/ghost-core/src/evasion.rs +++ b/ghost-core/src/evasion.rs @@ -1,10 +1,11 @@ -use std::collections::HashMap; -use std::time::{SystemTime, Duration}; +use crate::{MemoryProtection, MemoryRegion, ProcessInfo, ThreadInfo}; use serde::{Deserialize, Serialize}; -use crate::{ProcessInfo, MemoryRegion, ThreadInfo, MemoryProtection}; +use std::collections::HashMap; +use std::time::{Duration, SystemTime}; /// Advanced Evasion Detection Module /// Detects sophisticated anti-analysis and evasion techniques +#[derive(Debug)] pub struct EvasionDetector { timing_analyzer: TimingAnalyzer, environment_checker: EnvironmentChecker, @@ -32,13 +33,14 @@ pub struct EvasionTechnique { #[derive(Debug, Clone, PartialEq, Serialize, Deserialize)] pub enum EvasionSeverity { - Low, // Basic evasion attempts - Medium, // Moderate sophistication - High, // Advanced techniques - Critical, // Nation-state level evasion + Low, // Basic evasion attempts + Medium, // Moderate sophistication + High, // Advanced techniques + Critical, // Nation-state level evasion } /// Timing-based evasion detection +#[derive(Debug)] pub struct TimingAnalyzer { execution_timings: HashMap>, sleep_patterns: HashMap>, @@ -76,6 +78,7 @@ pub enum SleepContext { } /// Environment-based evasion detection +#[derive(Debug)] pub struct EnvironmentChecker { vm_indicators: Vec, debugger_checks: Vec, @@ -91,11 +94,11 @@ pub struct VmIndicator { #[derive(Debug, Clone)] pub enum VmIndicatorType { - ProcessName, // VM-related processes - RegistryKey, // VM registry artifacts - FilePath, // VM file system artifacts - HardwareId, // VM hardware identifiers - Timing, // VM timing anomalies + ProcessName, // VM-related processes + RegistryKey, // VM registry artifacts + FilePath, // VM file system artifacts + HardwareId, // VM hardware identifiers + Timing, // VM timing anomalies } #[derive(Debug, Clone)] @@ -117,10 +120,10 @@ pub enum DebuggerCheckType { #[derive(Debug, Clone)] pub enum BypassDifficulty { - Trivial, // Easy to bypass - Moderate, // Requires knowledge - Difficult, // Advanced techniques needed - Expert, // Very sophisticated bypass required + Trivial, // Easy to bypass + Moderate, // Requires knowledge + Difficult, // Advanced techniques needed + Expert, // Very sophisticated bypass required } #[derive(Debug, Clone)] @@ -131,6 +134,7 @@ pub struct SandboxSignature { } /// Behavioral analysis for evasion detection +#[derive(Debug)] pub struct BehaviorAnalyzer { api_hooking_detector: ApiHookingDetector, execution_flow_analyzer: ExecutionFlowAnalyzer, @@ -572,6 +576,7 @@ pub enum CleanupMethod { } /// Code obfuscation and packing detection +#[derive(Debug)] pub struct ObfuscationDetector { packer_signatures: Vec, obfuscation_patterns: Vec, @@ -647,6 +652,12 @@ pub enum KeyDerivation { UserInput, } +impl Default for EvasionDetector { + fn default() -> Self { + Self::new() + } +} + impl EvasionDetector { pub fn new() -> Self { Self { @@ -670,7 +681,9 @@ impl EvasionDetector { let mut anti_analysis_indicators = Vec::new(); // Timing-based evasion analysis - let timing_result = self.timing_analyzer.analyze_timing_evasion(process, threads); + let timing_result = self + .timing_analyzer + .analyze_timing_evasion(process, threads); if !timing_result.techniques.is_empty() { evasion_techniques.extend(timing_result.techniques); confidence += timing_result.confidence * 0.3; @@ -686,9 +699,9 @@ impl EvasionDetector { } // Behavioral analysis - let behavior_result = self.behavior_analyzer.analyze_behavior_evasion( - process, memory_regions, threads - ); + let behavior_result = + self.behavior_analyzer + .analyze_behavior_evasion(process, memory_regions, threads); if !behavior_result.techniques.is_empty() { evasion_techniques.extend(behavior_result.techniques); confidence += behavior_result.confidence * 0.25; @@ -696,9 +709,9 @@ impl EvasionDetector { } // Obfuscation analysis - let obfuscation_result = self.obfuscation_detector.detect_obfuscation( - process, memory_regions - ); + let obfuscation_result = self + .obfuscation_detector + .detect_obfuscation(process, memory_regions); if !obfuscation_result.techniques.is_empty() { evasion_techniques.extend(obfuscation_result.techniques); confidence += obfuscation_result.confidence * 0.15; @@ -724,6 +737,12 @@ impl EvasionDetector { } } +impl Default for TimingAnalyzer { + fn default() -> Self { + Self::new() + } +} + impl TimingAnalyzer { pub fn new() -> Self { Self { @@ -810,6 +829,12 @@ struct TimingEvasionResult { indicators: Vec, } +impl Default for EnvironmentChecker { + fn default() -> Self { + Self::new() + } +} + impl EnvironmentChecker { pub fn new() -> Self { Self { @@ -910,6 +935,12 @@ struct EnvironmentEvasionResult { indicators: Vec, } +impl Default for BehaviorAnalyzer { + fn default() -> Self { + Self::new() + } +} + impl BehaviorAnalyzer { pub fn new() -> Self { Self { @@ -939,9 +970,10 @@ impl BehaviorAnalyzer { } // Execution flow analysis - if let Some(flow_evasion) = self.execution_flow_analyzer.analyze_execution_flow( - process, memory_regions - ) { + if let Some(flow_evasion) = self + .execution_flow_analyzer + .analyze_execution_flow(process, memory_regions) + { techniques.push(flow_evasion); confidence += 0.5; sophistication += 0.8; @@ -965,6 +997,12 @@ struct BehaviorEvasionResult { indicators: Vec, } +impl Default for ApiHookingDetector { + fn default() -> Self { + Self::new() + } +} + impl ApiHookingDetector { pub fn new() -> Self { Self { @@ -990,6 +1028,12 @@ impl ApiHookingDetector { } } +impl Default for ExecutionFlowAnalyzer { + fn default() -> Self { + Self::new() + } +} + impl ExecutionFlowAnalyzer { pub fn new() -> Self { Self { @@ -1031,6 +1075,12 @@ impl ExecutionFlowAnalyzer { } } +impl Default for ResourceUsageMonitor { + fn default() -> Self { + Self::new() + } +} + impl ResourceUsageMonitor { pub fn new() -> Self { Self { @@ -1064,6 +1114,12 @@ impl ResourceUsageMonitor { } } +impl Default for ObfuscationDetector { + fn default() -> Self { + Self::new() + } +} + impl ObfuscationDetector { pub fn new() -> Self { Self { @@ -1152,4 +1208,4 @@ struct ObfuscationEvasionResult { confidence: f32, sophistication: f32, indicators: Vec, -} \ No newline at end of file +}