offensive research

Offensive research

How attackers break production software. Our offensive work tracks exploitation patterns across the stack — from browser zero-days to CI/CD injection, from container escapes to management-plane auth bypasses.

External surface

How internet-facing systems fail under real-world probing.

Internal network

Lateral movement paths once an attacker has a foothold. Which controls slow it down in practice.

Cloud infrastructure

AWS / Azure / GCP misconfigurations, IAM trust boundaries, service-to-service abuse paths.

Web applications

Auth bypasses, business-logic flaws, and the injections scanners miss.

Mobile (iOS & Android)

Reverse the binary, test the APIs it calls, inspect local storage and IPC.

APIs (REST & GraphQL)

Auth, authz, rate limiting, injection, and the data-exposure issues APIs ship with.

Embedded

Embedded firmware and bootloaders — IoT, routers, printers. OTA hijacks, hardcoded keys, factory-default weaknesses.

Broadband

ISP-provided gateways, cable modems, and fiber ONTs — the default-credentialed black boxes facing the internet.

AI supply chain

Malicious model files, agent hijacking, prompt-injection paths, and MLOps tooling.

Solving

How we work

We study bugs for real-world exploitability — not raw CVE counts. Every analysis ties a vulnerability to the attack paths it enables, the environments where it matters, and the controls that would have blunted it.

Solving

Research you can actually use

Every analysis ends with a concrete checklist — what to patch, what to detect, what to monitor. No abstract risk scores, no theoretical exposure.

Solving

Researchers who ship things, not just break them

Analyses are written by researchers who've shipped production code. The result: a writeup a developer can read and act on, not a dump of CVE IDs.