Finding Chain Correlator

Finding Chain Correlator

Purpose

Reveal compounding risk that isolated findings understate.

Inputs

• finding_set
• application_context
• auth_model
• data_sensitivity_map

Workflow

Phase 1: Normalization

1. Standardize findings into capability statements.
2. Extract prerequisites, required role, and affected assets.

Phase 2: Link Construction

1. Connect findings where output of one enables next.
2. Identify dependency order and branching options.
3. Reject links lacking technical preconditions.

Phase 3: Chain Validation

1. Validate each step is feasible in target context.
2. Validate session and state transitions between steps.
3. Validate operational reliability of full chain.

Phase 4: Impact Aggregation

1. Evaluate confidentiality, integrity, and availability impact.
2. Estimate blast radius and tenant crossover risk.
3. Rank by attacker effort vs outcome.

Phase 5: Defensive Breakpoints

1. Identify minimal controls that break the chain.
2. Prioritize controls by implementation cost and risk reduction.

Chain Scoring Factors

• prerequisite complexity
• execution reliability
• privilege needed
• detectability
• business impact

Output Contract

{
  "attack_chains": [],
  "prerequisite_graph": [],
  "aggregate_impact": [],
  "defensive_breakpoints": [],
  "priority_order": []
}

Constraints

• No speculative chain links.
• No additive severity without chain feasibility.

Quality Checklist

• Every link has evidence.
• Chain order is technically valid.
• Defensive breakpoints are practical.

Detailed Operator Notes

Consistency Rules

• Normalize terminology before scoring or chaining.
• Separate prerequisite uncertainty from exploit uncertainty.
• Treat environmental blockers independently from mitigation strength.

Risk Scoring Inputs

• attacker starting privilege
• required chain length
• probability of reliable execution
• blast radius if successful

Prioritization Output

• immediate: low-effort high-impact chains/findings.
• next: moderate effort with clear payoff.
• watch: plausible but currently low confidence.

Reporting Rules

• Include one-line executive summary per chain/finding.
• Include exact blocker needed to move an inconclusive item forward.
• Include confidence rationale in plain technical language.

Quick Scenarios

Scenario A: Access Check Placement

• Trace data fetch point.
• Trace policy check point.
• Determine whether check occurs before use.
• Identify alternate path without check.

Scenario B: Sanitization Mismatch

• Map sink execution context.
• Map sanitizer type and location.
• Validate context compatibility.
• Find branch that bypasses sanitizer.

Scenario C: Adjacent Pattern Sweep

• Identify sibling handlers/sinks.
• Compare guard and validation parity.
• Flag inconsistent control patterns.
• Prioritize high-impact siblings.

Conditional Decision Matrix

Advanced Coverage Extensions

1. Add attack-path branching for multiple privilege starting points.
2. Add defender-detection assumptions and likely monitoring signals.
3. Add rollback/cleanup verification after proof steps.
4. Add business-impact mapping to concrete assets and workflows.
5. Add reproducibility score based on run-to-run consistency.