Permanent Disclosure Ledger
The discipline, demonstrated
We run an agentic AI pipeline that decompiles publicly distributed Android and iOS apps, investigates their code and data flows, and traces connections to real-world endpoints. Hundreds of specialised agents work across the investigation, connecting technical evidence into a coherent picture that human specialists review and verify.
387+
Android/iOS apps audited
Every app is decompiled at source-code level, not just scanned from outside.
1.04M+
Smali classes read
The full shipped code we have actually read, not an estimate.
262+
Critical findings recorded
Confirmed findings copied to regulators, not theoretical risks.
970+
Weak points found
Third-party tracking we have provably found inside the binary.
567+
Endpoints investigated
Real servers and countries where data actually flows.
132+
SDK instances mapped
Reusable libraries correlated across the entire corpus.
1 of 387 entries · sorted by elapsed ↓
Showing the report for Doctolib.
This ledger is updated in real time as companies respond. Silence is public. Severity is scored primarily by CVSS v4.0, we reserve the right to deviate based on blast radius.