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Our Methodology

Source-driven offensive security. We read the code, build the exploit, and prove the impact.

Most testing produces a list of disjointed findings ranked by a scanner's opinion of severity. Ours produces exploit chains. Every engagement is run by an operator whose job is to turn what they find into something that works against your environment, and to show you exactly what that means.

Start from the source

Where source code is available, we read it before we send a single request. Tracing data flows, authorisation checks, and trust boundaries from the inside tells us where the real weaknesses are and removes the guesswork that black-box testing is built on. For infrastructure, cloud, and red team engagements, the same principle applies to configuration, identity, and network topology: understand the target properly, then attack it.

Build the exploit

A bug is only a finding once it is exploitable. We write proof-of-concept code, build the custom tooling and infrastructure a given target needs, and develop working exploits rather than relying on what off-the-shelf scanners can reach. If a weakness needs a bespoke payload, a purpose-built client, or a staged piece of infrastructure to demonstrate, we build it.

Chain it

Individual issues rarely matter on their own. A verbose error, a predictable identifier, and a loose authorisation check are three low severity findings in a conventional report. Chained, they are an account takeover. We focus on how weaknesses combine, and we report the chain end to end with the impact it produces: the data accessed, the privilege gained, the system compromised.

What we don't report

Theoretical issues with no path to exploitation, scanner output with no verified impact, and best-practice deviations that cannot contribute to a chain do not pad our reports. If it is not part of an exploitable chain, or could not become part of one, we are not interested in it and neither should you be. Where hardening advice falls out of the work, it is noted separately so it never dilutes what actually needs fixing.

Report and remediation

The report is built around the exploit chains: an executive summary of what an attacker could achieve, a technical walkthrough of each proof of concept, and remediation guidance at the code or configuration level, specific to your language, framework, or platform. A debrief call walks your team through every step.

Source code handling

Source code is transferred over encrypted channels, stored securely for the duration of the engagement, and permanently deleted on completion. Your code is never used to train AI models. A deletion certificate is provided.

CREST Accreditation