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Release prep: 54 engines, self-hosted signatures, i18n, dashboard updates
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178 changed files with 36008 additions and 399 deletions
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@ -6,18 +6,23 @@ import (
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)
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// SOCCorrelationRule defines a time-windowed correlation rule for SOC events.
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// Unlike oracle.CorrelationRule (pattern-based), SOC rules operate on event
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// categories within a sliding time window.
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// Supports two modes:
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// - Co-occurrence: RequiredCategories must all appear within TimeWindow (unordered)
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// - Temporal sequence: SequenceCategories must appear in ORDER within TimeWindow
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type SOCCorrelationRule struct {
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ID string `json:"id"`
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Name string `json:"name"`
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RequiredCategories []string `json:"required_categories"` // Event categories that must co-occur
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MinEvents int `json:"min_events"` // Minimum distinct events to trigger
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TimeWindow time.Duration `json:"time_window"` // Sliding window for temporal correlation
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Severity EventSeverity `json:"severity"` // Resulting incident severity
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RequiredCategories []string `json:"required_categories"` // Co-occurrence (unordered)
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SequenceCategories []string `json:"sequence_categories"` // Temporal sequence (ordered A→B→C)
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SeverityTrend string `json:"severity_trend,omitempty"` // "ascending" — detect escalation pattern
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TrendCategory string `json:"trend_category,omitempty"` // Category to track for severity trend
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MinEvents int `json:"min_events"`
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TimeWindow time.Duration `json:"time_window"`
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Severity EventSeverity `json:"severity"`
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KillChainPhase string `json:"kill_chain_phase"`
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MITREMapping []string `json:"mitre_mapping"`
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Description string `json:"description"`
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CrossSensor bool `json:"cross_sensor"`
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}
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// DefaultSOCCorrelationRules returns built-in SOC correlation rules (§7 from spec).
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@ -100,6 +105,98 @@ func DefaultSOCCorrelationRules() []SOCCorrelationRule {
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MITREMapping: []string{"T1546", "T1053"},
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Description: "Jailbreak followed by persistence mechanism indicates attacker establishing long-term foothold.",
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},
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{
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ID: "SOC-CR-008",
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Name: "Slow Data Exfiltration",
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RequiredCategories: []string{"pii_leak", "exfiltration"},
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MinEvents: 5,
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TimeWindow: 1 * time.Hour,
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Severity: SeverityHigh,
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KillChainPhase: "Exfiltration",
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MITREMapping: []string{"T1041", "T1048"},
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Description: "Multiple small PII leaks over extended period from same session. Low-and-slow exfiltration evades threshold-based detection.",
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},
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// --- Temporal sequence rules (ordered A→B→C) ---
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{
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ID: "SOC-CR-009",
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Name: "Recon→Exploit→Exfil Chain",
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SequenceCategories: []string{"reconnaissance", "prompt_injection", "exfiltration"},
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MinEvents: 3,
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TimeWindow: 30 * time.Minute,
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Severity: SeverityCritical,
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KillChainPhase: "Full Kill Chain",
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MITREMapping: []string{"T1595", "T1059", "T1041"},
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Description: "Ordered sequence: reconnaissance followed by prompt injection followed by data exfiltration. Full kill chain attack in progress.",
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},
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{
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ID: "SOC-CR-010",
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Name: "Auth Spray→Bypass Sequence",
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SequenceCategories: []string{"auth_bypass", "tool_abuse"},
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MinEvents: 2,
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TimeWindow: 10 * time.Minute,
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Severity: SeverityHigh,
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KillChainPhase: "Exploitation",
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MITREMapping: []string{"T1110", "T1078"},
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Description: "Authentication bypass attempt followed by tool abuse within 10 minutes. Credential compromise leading to privilege escalation.",
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},
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{
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ID: "SOC-CR-011",
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Name: "Cross-Sensor Session Attack",
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MinEvents: 3,
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TimeWindow: 15 * time.Minute,
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Severity: SeverityCritical,
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KillChainPhase: "Lateral Movement",
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MITREMapping: []string{"T1021", "T1550"},
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CrossSensor: true,
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Description: "Same session_id seen across 3+ distinct sensors within 15 minutes. Indicates a compromised session exploited from multiple attack vectors.",
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},
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// ── Lattice Integration Rules ──────────────────────────────────
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{
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ID: "SOC-CR-012",
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Name: "TSA Chain Violation",
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SequenceCategories: []string{"auth_bypass", "tool_abuse", "exfiltration"},
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MinEvents: 3,
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TimeWindow: 15 * time.Minute,
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Severity: SeverityCritical,
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KillChainPhase: "Actions on Objectives",
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MITREMapping: []string{"T1078", "T1059", "T1048"},
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Description: "Trust-Safety-Alignment chain violation: auth bypass followed by tool abuse and data exfiltration within 15 minutes. Full kill chain detected.",
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},
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{
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ID: "SOC-CR-013",
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Name: "GPS Early Warning",
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RequiredCategories: []string{"anomaly", "exfiltration"},
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MinEvents: 2,
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TimeWindow: 10 * time.Minute,
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Severity: SeverityHigh,
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KillChainPhase: "Reconnaissance",
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MITREMapping: []string{"T1595", "T1041"},
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Description: "Guardrail-Perimeter-Surveillance early warning: anomaly detection followed by exfiltration attempt. Potential reconnaissance-to-extraction pipeline.",
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},
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{
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ID: "SOC-CR-014",
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Name: "MIRE Containment Activated",
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SequenceCategories: []string{"prompt_injection", "jailbreak"},
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MinEvents: 2,
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TimeWindow: 5 * time.Minute,
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Severity: SeverityCritical,
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KillChainPhase: "Weaponization",
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MITREMapping: []string{"T1059.007", "T1203"},
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Description: "Monitor-Isolate-Respond-Evaluate containment: prompt injection escalated to jailbreak within 5 minutes. Immune system response required.",
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},
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// ── Severity Trend Rules ──────────────────────────────────────
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{
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ID: "SOC-CR-015",
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Name: "Crescendo Escalation",
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SeverityTrend: "ascending",
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TrendCategory: "jailbreak",
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MinEvents: 3,
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TimeWindow: 15 * time.Minute,
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Severity: SeverityCritical,
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KillChainPhase: "Exploitation",
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MITREMapping: []string{"T1059", "T1548"},
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Description: "Crescendo attack: 3+ jailbreak attempts with ascending severity within 15 minutes. Gradual guardrail erosion detected.",
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},
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}
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}
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@ -152,6 +249,21 @@ func evaluateRule(rule SOCCorrelationRule, events []SOCEvent, now time.Time) *Co
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return nil
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}
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// Severity trend: detect ascending severity in same-category events.
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if rule.SeverityTrend == "ascending" && rule.TrendCategory != "" {
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return evaluateSeverityTrendRule(rule, inWindow)
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}
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// Temporal sequence: check ordered occurrence (A→B→C within window).
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if len(rule.SequenceCategories) > 0 {
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return evaluateSequenceRule(rule, inWindow)
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}
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// Cross-sensor session attack: same session_id across 3+ distinct sources.
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if rule.CrossSensor {
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return evaluateCrossSensorRule(rule, inWindow)
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}
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// Special case: SOC-CR-002 (Coordinated Attack) — check distinct category count.
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if len(rule.RequiredCategories) == 0 && rule.MinEvents > 0 {
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return evaluateCoordinatedAttack(rule, inWindow)
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@ -214,3 +326,137 @@ func evaluateCoordinatedAttack(rule SOCCorrelationRule, events []SOCEvent) *Corr
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}
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return nil
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}
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// evaluateCrossSensorRule detects the same session_id seen across N+ distinct sources/sensors.
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// Triggers SOC-CR-011: indicates lateral movement or compromised session.
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func evaluateCrossSensorRule(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
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// Group events by session_id, track distinct sources per session.
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type sessionInfo struct {
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sources map[EventSource]bool
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events []SOCEvent
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}
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sessions := make(map[string]*sessionInfo)
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for _, e := range events {
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if e.SessionID == "" {
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continue
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}
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si, ok := sessions[e.SessionID]
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if !ok {
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si = &sessionInfo{sources: make(map[EventSource]bool)}
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sessions[e.SessionID] = si
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}
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si.sources[e.Source] = true
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si.events = append(si.events, e)
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}
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for _, si := range sessions {
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if len(si.sources) >= rule.MinEvents {
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return &CorrelationMatch{
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Rule: rule,
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Events: si.events,
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MatchedAt: time.Now(),
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}
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}
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}
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return nil
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}
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// evaluateSequenceRule checks for ordered temporal sequences (A→B→C).
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// Events must appear in the specified order within the time window.
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func evaluateSequenceRule(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
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// Sort events by timestamp (oldest first).
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sorted := make([]SOCEvent, len(events))
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copy(sorted, events)
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sort.Slice(sorted, func(i, j int) bool {
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return sorted[i].Timestamp.Before(sorted[j].Timestamp)
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})
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// Walk through events, matching each sequence step in order.
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seqIdx := 0
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var matchedEvents []SOCEvent
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var firstTime time.Time
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for _, e := range sorted {
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if seqIdx >= len(rule.SequenceCategories) {
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break
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}
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if e.Category == rule.SequenceCategories[seqIdx] {
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if seqIdx == 0 {
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firstTime = e.Timestamp
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}
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// Ensure all events are within the time window of the first event.
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if seqIdx > 0 && e.Timestamp.Sub(firstTime) > rule.TimeWindow {
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// Window exceeded — reset and try from this event.
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seqIdx = 0
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matchedEvents = nil
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if e.Category == rule.SequenceCategories[0] {
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firstTime = e.Timestamp
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matchedEvents = append(matchedEvents, e)
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seqIdx = 1
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}
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continue
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}
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matchedEvents = append(matchedEvents, e)
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seqIdx++
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}
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}
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// All sequence steps matched?
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if seqIdx >= len(rule.SequenceCategories) {
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return &CorrelationMatch{
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Rule: rule,
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Events: matchedEvents,
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MatchedAt: time.Now(),
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}
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}
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return nil
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}
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// evaluateSeverityTrendRule detects ascending severity pattern in same-category events.
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// Example: jailbreak(LOW) → jailbreak(MEDIUM) → jailbreak(HIGH) within 15 min = CRESCENDO.
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func evaluateSeverityTrendRule(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
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// Filter to target category only.
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var categoryEvents []SOCEvent
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for _, e := range events {
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if e.Category == rule.TrendCategory {
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categoryEvents = append(categoryEvents, e)
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}
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}
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if len(categoryEvents) < rule.MinEvents {
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return nil
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}
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// Sort by timestamp.
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sort.Slice(categoryEvents, func(i, j int) bool {
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return categoryEvents[i].Timestamp.Before(categoryEvents[j].Timestamp)
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})
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// Find longest ascending severity subsequence.
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var bestRun []SOCEvent
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var currentRun []SOCEvent
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for _, e := range categoryEvents {
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if len(currentRun) == 0 || e.Severity.Rank() > currentRun[len(currentRun)-1].Severity.Rank() {
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currentRun = append(currentRun, e)
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} else {
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if len(currentRun) > len(bestRun) {
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bestRun = currentRun
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}
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currentRun = []SOCEvent{e}
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}
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}
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if len(currentRun) > len(bestRun) {
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bestRun = currentRun
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}
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if len(bestRun) >= rule.MinEvents {
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return &CorrelationMatch{
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Rule: rule,
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Events: bestRun,
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MatchedAt: time.Now(),
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}
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}
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return nil
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}
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