mid-engagement-ir-detection

Detect SOC patches and security state changes during red-team engagements by using Python scripts to compare pre-test and post-test states. The analysis identifies significant shifts in response times, sizes, headers, and lockout counts to confirm mitigations or vulnerabilities.

Mid-engagement detection identifies active concurrent attacker activity, WAF rule deployment, and detection-induced rate limiting or IP blocks. It converts these real-time security state observations into actionable findings for red-team operators.

Analyze response time and header differences by running automated state-change detection scripts that compare pre-test and post-test target responses. This state difference analysis confirms whether a client SOC has patched or deployed mitigations.

Yes, you need Python installed to execute the scripts required for automated security state difference analysis. Python handles the data analysis necessary to detect dynamic changes in response sizes, headers, and lockout counts.

Yes, you can identify detection-induced rate limiting and IP blocks during active testing. The scripts analyze dynamic changes in lockout counts and response times to determine if concurrent attacker activity or SOC defenses are actively blocking your traffic.

Automated state-change detection relies on comparing pre-test and post-test states, meaning it requires baseline data before testing begins. It focuses on response times, sizes, headers, and lockout counts, and may not detect mitigations that do not alter these specific metrics.