Methodology
Automated discovery for scale. Human offensive-security judgement for what matters. Here is how that actually works in practice.
Discovery: mapping the real footprint, not the assumed one
We start from seed information you provide — organization name, known domains, brands — and expand outward using the same reconnaissance techniques an attacker would use: DNS enumeration, certificate transparency logs, passive and active subdomain discovery, ASN and IP-range analysis, cloud-provider fingerprinting, and technology fingerprinting of what we find. The goal is a footprint built from evidence, not from your CMDB.
Analysis: separating signal from noise
Every discovered asset is triaged. Some are clearly owned and expected. Some are unexpected — forgotten staging environments, subsidiary infrastructure, third-party-hosted assets nobody remembers commissioning. Each is analyzed for exposure: what's actually reachable, what technology is running, what version, what configuration is visible from the outside.
Validation: where automation stops and offensive security starts
Automated tools are good at finding candidates. They are not good at judgement. A flagged observation might be a real weakness, a false positive, or something that looks interesting but leads nowhere. An experienced offensive-security professional manually reviews the observations that matter — checking configuration by hand, testing authentication behaviour, confirming whether a fingerprinted version is actually exploitable in context — before anything is reported as a finding.
Connecting exposures: attack-path investigation
A single exposed component is rarely the whole story. Where scope and authorization allow, we investigate whether individual weaknesses can be chained: an unknown asset leads to an exposed application, which has a validated weakness, which permits access, which has a business consequence. This is the same chain-of-reasoning an attacker uses — documented as evidence, not speculation.
Reporting on what we didn't find, too
Every attack hypothesis we test is reported — whether it was validated or not. A tested-and-resisted scenario is evidence of a working control, and we treat it with the same rigor as a validated finding. We do not claim absolute security, and we're explicit about the limitations and boundaries of each assessment.