Hacking: Indexof Ethical

The proposed Index of Ethical Hacking (IoEH) transforms subjective opinions (“We do penetration tests”) into a data-driven score from 0 to 100, where 100 represents continuous, adversarial, full-scope testing with zero remediation lag. The IoEH is defined as:

| Criterion | Points | |-----------|--------| | Formal scope document signed before each test | 20 | | Rules of engagement (ROE) with emergency stop | 15 | | Testers hold industry certs (OSCP, GPEN, CREST) | 20 | | Report includes reproducible steps and risk ratings (CVSS) | 15 | | Post-test debrief with remediation roadmap | 15 | | Tests are independently audited (external QA) | 15 | indexof ethical hacking

IoEH = (C × 0.25) + (F × 0.20) + (D × 0.25) + (R × 0.15) + (M × 0.15) Each sub-index is normalized to a 0–100 scale. Weights can be adjusted based on industry risk profile (e.g., finance may increase R’s weight). Measures what percentage of the attack surface is tested within a given period (e.g., 12 months). The proposed Index of Ethical Hacking (IoEH) transforms

| Component | Max Score | Calculation | |-----------|-----------|--------------| | External IPs | 30 | (tested IPs / total IPs) × 30 | | Internal IPs | 25 | (tested subnets / total subnets) × 25 | | Web apps | 25 | (tested apps / total critical apps) × 25 | | APIs | 10 | (tested endpoints / total documented endpoints) × 10 | | Mobile apps | 5 | (tested builds / total production builds) × 5 | | IoT/OT | 5 | (tested device types / total types) × 5 | Measures what percentage of the attack surface is

R = max(0, critical_score + high_score - reopened_penalty) Assesses the process quality, not just technical results.

For a typical enterprise with 3 critical web apps (monthly → 80), 200 internal hosts (quarterly → 60), 50 non-critical (annually → 20). Weighted average ≈ 67 . 2.3 Depth (D) – Weight 25% The sophistication level of testing. Inspired by PTES (Penetration Testing Execution Standard).