gomcp/internal/domain/soc/correlation.go

485 lines
17 KiB
Go

package soc
import (
"sort"
"time"
)
// SOCCorrelationRule defines a time-windowed correlation rule for SOC events.
// Supports two modes:
// - Co-occurrence: RequiredCategories must all appear within TimeWindow (unordered)
// - Temporal sequence: SequenceCategories must appear in ORDER within TimeWindow
type SOCCorrelationRule struct {
ID string `json:"id"`
Name string `json:"name"`
RequiredCategories []string `json:"required_categories"` // Co-occurrence (unordered)
SequenceCategories []string `json:"sequence_categories"` // Temporal sequence (ordered A→B→C)
SeverityTrend string `json:"severity_trend,omitempty"` // "ascending" — detect escalation pattern
TrendCategory string `json:"trend_category,omitempty"` // Category to track for severity trend
MinEvents int `json:"min_events"`
TimeWindow time.Duration `json:"time_window"`
Severity EventSeverity `json:"severity"`
KillChainPhase string `json:"kill_chain_phase"`
MITREMapping []string `json:"mitre_mapping"`
Description string `json:"description"`
CrossSensor bool `json:"cross_sensor"`
}
// DefaultSOCCorrelationRules returns built-in SOC correlation rules (§7 from spec).
func DefaultSOCCorrelationRules() []SOCCorrelationRule {
return []SOCCorrelationRule{
{
ID: "SOC-CR-001",
Name: "Multi-stage Jailbreak",
RequiredCategories: []string{"jailbreak", "tool_abuse"},
MinEvents: 2,
TimeWindow: 5 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Exploitation",
MITREMapping: []string{"T1059", "T1203"},
Description: "Jailbreak attempt followed by tool abuse indicates a staged attack to bypass guardrails and escalate privileges.",
},
{
ID: "SOC-CR-002",
Name: "Coordinated Attack",
RequiredCategories: []string{}, // Any 3+ distinct categories from same source
MinEvents: 3,
TimeWindow: 10 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Exploitation",
MITREMapping: []string{"T1595", "T1190"},
Description: "Three or more distinct threat categories from the same source within 10 minutes indicates a coordinated multi-vector attack.",
},
{
ID: "SOC-CR-003",
Name: "Privilege Escalation Chain",
RequiredCategories: []string{"auth_bypass", "exfiltration"},
MinEvents: 2,
TimeWindow: 15 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Exfiltration",
MITREMapping: []string{"T1078", "T1041"},
Description: "Authentication bypass followed by data exfiltration attempt within 15 minutes indicates a credential compromise leading to data theft.",
},
{
ID: "SOC-CR-004",
Name: "Injection Escalation",
RequiredCategories: []string{"prompt_injection", "jailbreak"},
MinEvents: 2,
TimeWindow: 5 * time.Minute,
Severity: SeverityHigh,
KillChainPhase: "Exploitation",
MITREMapping: []string{"T1059.007"},
Description: "Prompt injection followed by jailbreak within 5 minutes indicates progressive guardrail erosion attack.",
},
{
ID: "SOC-CR-005",
Name: "Sensor Manipulation",
RequiredCategories: []string{"sensor_anomaly", "tool_abuse"},
MinEvents: 2,
TimeWindow: 5 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Defense Evasion",
MITREMapping: []string{"T1562"},
Description: "Sensor anomaly combined with tool abuse suggests attacker is trying to blind defensing before exploitation.",
},
{
ID: "SOC-CR-006",
Name: "Data Exfiltration Pipeline",
RequiredCategories: []string{"exfiltration", "encoding"},
MinEvents: 2,
TimeWindow: 10 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Exfiltration",
MITREMapping: []string{"T1041", "T1132"},
Description: "Data exfiltration combined with encoding/obfuscation indicates staged data theft with cover-up.",
},
{
ID: "SOC-CR-007",
Name: "Stealth Persistence",
RequiredCategories: []string{"jailbreak", "persistence"},
MinEvents: 2,
TimeWindow: 30 * time.Minute,
Severity: SeverityHigh,
KillChainPhase: "Persistence",
MITREMapping: []string{"T1546", "T1053"},
Description: "Jailbreak followed by persistence mechanism indicates attacker establishing long-term foothold.",
},
{
ID: "SOC-CR-008",
Name: "Slow Data Exfiltration",
RequiredCategories: []string{"pii_leak", "exfiltration"},
MinEvents: 5,
TimeWindow: 1 * time.Hour,
Severity: SeverityHigh,
KillChainPhase: "Exfiltration",
MITREMapping: []string{"T1041", "T1048"},
Description: "Multiple small PII leaks over extended period from same session. Low-and-slow exfiltration evades threshold-based detection.",
},
// --- Temporal sequence rules (ordered A→B→C) ---
{
ID: "SOC-CR-009",
Name: "Recon→Exploit→Exfil Chain",
SequenceCategories: []string{"reconnaissance", "prompt_injection", "exfiltration"},
MinEvents: 3,
TimeWindow: 30 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Full Kill Chain",
MITREMapping: []string{"T1595", "T1059", "T1041"},
Description: "Ordered sequence: reconnaissance followed by prompt injection followed by data exfiltration. Full kill chain attack in progress.",
},
{
ID: "SOC-CR-010",
Name: "Auth Spray→Bypass Sequence",
SequenceCategories: []string{"auth_bypass", "tool_abuse"},
MinEvents: 2,
TimeWindow: 10 * time.Minute,
Severity: SeverityHigh,
KillChainPhase: "Exploitation",
MITREMapping: []string{"T1110", "T1078"},
Description: "Authentication bypass attempt followed by tool abuse within 10 minutes. Credential compromise leading to privilege escalation.",
},
{
ID: "SOC-CR-011",
Name: "Cross-Sensor Session Attack",
MinEvents: 3,
TimeWindow: 15 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Lateral Movement",
MITREMapping: []string{"T1021", "T1550"},
CrossSensor: true,
Description: "Same session_id seen across 3+ distinct sensors within 15 minutes. Indicates a compromised session exploited from multiple attack vectors.",
},
// ── Lattice Integration Rules ──────────────────────────────────
{
ID: "SOC-CR-012",
Name: "TSA Chain Violation",
SequenceCategories: []string{"auth_bypass", "tool_abuse", "exfiltration"},
MinEvents: 3,
TimeWindow: 15 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Actions on Objectives",
MITREMapping: []string{"T1078", "T1059", "T1048"},
Description: "Trust-Safety-Alignment chain violation: auth bypass followed by tool abuse and data exfiltration within 15 minutes. Full kill chain detected.",
},
{
ID: "SOC-CR-013",
Name: "GPS Early Warning",
RequiredCategories: []string{"anomaly", "exfiltration"},
MinEvents: 2,
TimeWindow: 10 * time.Minute,
Severity: SeverityHigh,
KillChainPhase: "Reconnaissance",
MITREMapping: []string{"T1595", "T1041"},
Description: "Guardrail-Perimeter-Surveillance early warning: anomaly detection followed by exfiltration attempt. Potential reconnaissance-to-extraction pipeline.",
},
{
ID: "SOC-CR-014",
Name: "MIRE Containment Activated",
SequenceCategories: []string{"prompt_injection", "jailbreak"},
MinEvents: 2,
TimeWindow: 5 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Weaponization",
MITREMapping: []string{"T1059.007", "T1203"},
Description: "Monitor-Isolate-Respond-Evaluate containment: prompt injection escalated to jailbreak within 5 minutes. Immune system response required.",
},
// ── Severity Trend Rules ──────────────────────────────────────
{
ID: "SOC-CR-015",
Name: "Crescendo Escalation",
SeverityTrend: "ascending",
TrendCategory: "jailbreak",
MinEvents: 3,
TimeWindow: 15 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Exploitation",
MITREMapping: []string{"T1059", "T1548"},
Description: "Crescendo attack: 3+ jailbreak attempts with ascending severity within 15 minutes. Gradual guardrail erosion detected.",
},
// ── Shadow AI Rules (§C³ Shadow Guard) ──────────────────────────
{
ID: "SOC-CR-022",
Name: "Shadow AI Exfiltration",
RequiredCategories: []string{"shadow_ai", "exfiltration"},
MinEvents: 2,
TimeWindow: 30 * time.Minute,
Severity: SeverityCritical,
KillChainPhase: "Exfiltration",
MITREMapping: []string{"T1567", "T1048"},
Description: "Shadow AI usage combined with data exfiltration. Unauthorized AI tool sending corporate data to external endpoints.",
},
{
ID: "SOC-CR-023",
Name: "Shadow AI Credential Spray",
SequenceCategories: []string{"shadow_ai", "auth_bypass"},
MinEvents: 2,
TimeWindow: 10 * time.Minute,
Severity: SeverityHigh,
KillChainPhase: "Initial Access",
MITREMapping: []string{"T1110", "T1567"},
Description: "Shadow AI detected followed by auth bypass. AI tool used as recon before credential attack.",
},
}
}
// CorrelationMatch represents a triggered correlation rule with matched events.
type CorrelationMatch struct {
Rule SOCCorrelationRule `json:"rule"`
Events []SOCEvent `json:"events"`
MatchedAt time.Time `json:"matched_at"`
}
// CorrelateSOCEvents runs all correlation rules against a set of events.
// Events should be pre-filtered to a reasonable time window (e.g., last hour).
// Returns matches sorted by severity (CRITICAL first).
func CorrelateSOCEvents(events []SOCEvent, rules []SOCCorrelationRule) []CorrelationMatch {
if len(events) == 0 || len(rules) == 0 {
return nil
}
now := time.Now()
var matches []CorrelationMatch
for _, rule := range rules {
match := evaluateRule(rule, events, now)
if match != nil {
matches = append(matches, *match)
}
}
// Sort by severity (CRITICAL first)
sort.Slice(matches, func(i, j int) bool {
return matches[i].Rule.Severity.Rank() > matches[j].Rule.Severity.Rank()
})
return matches
}
// evaluateRule checks if a single rule matches against the event set.
func evaluateRule(rule SOCCorrelationRule, events []SOCEvent, now time.Time) *CorrelationMatch {
windowStart := now.Add(-rule.TimeWindow)
// Filter events within time window.
var inWindow []SOCEvent
for _, e := range events {
if !e.Timestamp.Before(windowStart) {
inWindow = append(inWindow, e)
}
}
if len(inWindow) < rule.MinEvents {
return nil
}
// Severity trend: detect ascending severity in same-category events.
if rule.SeverityTrend == "ascending" && rule.TrendCategory != "" {
return evaluateSeverityTrendRule(rule, inWindow)
}
// Temporal sequence: check ordered occurrence (A→B→C within window).
if len(rule.SequenceCategories) > 0 {
return evaluateSequenceRule(rule, inWindow)
}
// Cross-sensor session attack: same session_id across 3+ distinct sources.
if rule.CrossSensor {
return evaluateCrossSensorRule(rule, inWindow)
}
// Special case: SOC-CR-002 (Coordinated Attack) — check distinct category count.
if len(rule.RequiredCategories) == 0 && rule.MinEvents > 0 {
return evaluateCoordinatedAttack(rule, inWindow)
}
// Standard case: check that all required categories are present.
categorySet := make(map[string]bool)
var matchedEvents []SOCEvent
for _, e := range inWindow {
categorySet[e.Category] = true
// Collect events matching required categories.
for _, rc := range rule.RequiredCategories {
if e.Category == rc {
matchedEvents = append(matchedEvents, e)
break
}
}
}
// Check all required categories are present.
for _, rc := range rule.RequiredCategories {
if !categorySet[rc] {
return nil
}
}
if len(matchedEvents) < rule.MinEvents {
return nil
}
return &CorrelationMatch{
Rule: rule,
Events: matchedEvents,
MatchedAt: time.Now(),
}
}
// evaluateCoordinatedAttack checks for N+ distinct categories from same source.
func evaluateCoordinatedAttack(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
// Group by source, count distinct categories.
sourceCategories := make(map[EventSource]map[string]bool)
sourceEvents := make(map[EventSource][]SOCEvent)
for _, e := range events {
if sourceCategories[e.Source] == nil {
sourceCategories[e.Source] = make(map[string]bool)
}
sourceCategories[e.Source][e.Category] = true
sourceEvents[e.Source] = append(sourceEvents[e.Source], e)
}
for source, cats := range sourceCategories {
if len(cats) >= rule.MinEvents {
return &CorrelationMatch{
Rule: rule,
Events: sourceEvents[source],
MatchedAt: time.Now(),
}
}
}
return nil
}
// evaluateCrossSensorRule detects the same session_id seen across N+ distinct sources/sensors.
// Triggers SOC-CR-011: indicates lateral movement or compromised session.
func evaluateCrossSensorRule(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
// Group events by session_id, track distinct sources per session.
type sessionInfo struct {
sources map[EventSource]bool
events []SOCEvent
}
sessions := make(map[string]*sessionInfo)
for _, e := range events {
if e.SessionID == "" {
continue
}
si, ok := sessions[e.SessionID]
if !ok {
si = &sessionInfo{sources: make(map[EventSource]bool)}
sessions[e.SessionID] = si
}
si.sources[e.Source] = true
si.events = append(si.events, e)
}
for _, si := range sessions {
if len(si.sources) >= rule.MinEvents {
return &CorrelationMatch{
Rule: rule,
Events: si.events,
MatchedAt: time.Now(),
}
}
}
return nil
}
// evaluateSequenceRule checks for ordered temporal sequences (A→B→C).
// Events must appear in the specified order within the time window.
func evaluateSequenceRule(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
// Sort events by timestamp (oldest first).
sorted := make([]SOCEvent, len(events))
copy(sorted, events)
sort.Slice(sorted, func(i, j int) bool {
return sorted[i].Timestamp.Before(sorted[j].Timestamp)
})
// Walk through events, matching each sequence step in order.
seqIdx := 0
var matchedEvents []SOCEvent
var firstTime time.Time
for _, e := range sorted {
if seqIdx >= len(rule.SequenceCategories) {
break
}
if e.Category == rule.SequenceCategories[seqIdx] {
if seqIdx == 0 {
firstTime = e.Timestamp
}
// Ensure all events are within the time window of the first event.
if seqIdx > 0 && e.Timestamp.Sub(firstTime) > rule.TimeWindow {
// Window exceeded — reset and try from this event.
seqIdx = 0
matchedEvents = nil
if e.Category == rule.SequenceCategories[0] {
firstTime = e.Timestamp
matchedEvents = append(matchedEvents, e)
seqIdx = 1
}
continue
}
matchedEvents = append(matchedEvents, e)
seqIdx++
}
}
// All sequence steps matched?
if seqIdx >= len(rule.SequenceCategories) {
return &CorrelationMatch{
Rule: rule,
Events: matchedEvents,
MatchedAt: time.Now(),
}
}
return nil
}
// evaluateSeverityTrendRule detects ascending severity pattern in same-category events.
// Example: jailbreak(LOW) → jailbreak(MEDIUM) → jailbreak(HIGH) within 15 min = CRESCENDO.
func evaluateSeverityTrendRule(rule SOCCorrelationRule, events []SOCEvent) *CorrelationMatch {
// Filter to target category only.
var categoryEvents []SOCEvent
for _, e := range events {
if e.Category == rule.TrendCategory {
categoryEvents = append(categoryEvents, e)
}
}
if len(categoryEvents) < rule.MinEvents {
return nil
}
// Sort by timestamp.
sort.Slice(categoryEvents, func(i, j int) bool {
return categoryEvents[i].Timestamp.Before(categoryEvents[j].Timestamp)
})
// Find longest ascending severity subsequence.
var bestRun []SOCEvent
var currentRun []SOCEvent
for _, e := range categoryEvents {
if len(currentRun) == 0 || e.Severity.Rank() > currentRun[len(currentRun)-1].Severity.Rank() {
currentRun = append(currentRun, e)
} else {
if len(currentRun) > len(bestRun) {
bestRun = currentRun
}
currentRun = []SOCEvent{e}
}
}
if len(currentRun) > len(bestRun) {
bestRun = currentRun
}
if len(bestRun) >= rule.MinEvents {
return &CorrelationMatch{
Rule: rule,
Events: bestRun,
MatchedAt: time.Now(),
}
}
return nil
}