Surface Web

The Surface Web monitors open, searchable parts of the internet to uncover brand misuse, exposed assets, and security-relevant traces that often precede incidents. Coverage spans public sites, code repositories, domain/certificate ecosystems, DNS and subdomains, cloud storage, and official/third-party app stores. The goal is to turn open-web noise into concrete findings tied to your brands, people, and infrastructure.

What We Monitor

• Public web & targeted searches: Open pages and indexed content are queried for sensitive strings, exposed API documentation (Swagger/OpenAPI, Postman collections), and other security artefacts. Crawling of corporate sites helps reveal credentials, configs, and unintended data exposure.

• Public code repositories: GitHub, GitLab, and Bitbucket are scanned for secrets, configuration files, and proprietary material, including, checks across recent commit history.

• Domains, certificates & look-alikes: Subdomains and newly issued certificates are tracked to surface fresh assets and attack infrastructure. Look-alike risks are identified using domain-variation techniques and similarity analysis.

• DNS & infrastructure signals: DNS records are validated to catch misconfigurations; exposed hosts/services are mapped and fingerprinted to identify technologies and versions in use.

• Cloud storage exposure: Publicly accessible buckets and containers across S3, GCP, and Azure are discovered through optimized permutation strategies and assessed for sensitive content.

How We Detect

Findings are produced by combining OSINT scanning with validation steps that reduce false positives. Web searches feed into structured analysis pipelines; subdomains are enumerated. Domain look-alikes are generated and ranked by similarity models. DNS checks and service fingerprinting validate real exposure. cloud buckets are enumerated and verified for public access and sensitive files; app-store look-alikes are confirmed with textual and visual similarity methods.

Why This Matters

Open-web traces frequently foreshadow phishing, fraud, data leakage, or abuse of brand and infrastructure. Early visibility into misconfigured services, leaked secrets, look-alike domains, risky app listings, and exposed cloud storage enables rapid takedown and containment, strengthening the organization’s overall digital risk protection posture.