Challenge Summary
This challenge required targeted reconnaissance of St Fagans National Museum of History using open-source intelligence vectors, including image verification, search engine dorking, policy tracking, and public registry auditing. All discovered intelligence vectors have been cross-referenced with the operational tracking dossier Op_Kinetic.md.
1. Physical Landmark Identification
- Methodology: Visual identification of the functional historic water wheel system located on the museum grounds to extract the specific structure identity.
-
Verification Sources:
-
Flag Data:
Click to reveal flag
osintuk{Melin_Bompren_Corn_Mill}
2. Operational Change Tracking
- Methodology: Executed target-specific Google dorking (
fagans national museum parking charges) to isolate historical tariff modifications. Social media public registries confirmed the exact monetary value and implementation date. -
Verification Sources:
-
Flag Data:
Click to reveal flag
osintuk{£7_08072024}
3. Policy & Admissions Baseline
- Methodology: Extracted historical government directive changes via regional policy documents confirming the removal of national museum admission fees post-2001 to find the baseline entry cost.
-
Verification Sources:
-
Flag Data:
Click to reveal flag
osintuk{£0}
4. Corporate Registry Enumeration
- Methodology: Deployed targeted dorking (
Charity at St Fagans Museum) to analyze application footprints and isolate the registered charity identifier located within the platform's footer metadata. -
Verification Sources:
-
Flag Data:
Click to reveal flag
osintuk{525774}
5. Compliance Gap Analysis
- Methodology: Leveraged the corporate registry ID found in Phase 4 to query the UK Charity Commission platform. Audited the financial reporting schedule for the period ending March 2022 to identify the exact number of days late.
-
Verification Sources:
-
Flag Data:
Click to reveal flag
osintuk{255}
Source: Writeups → OSINT UK/Op_Kinetic.md on GitHub.