offensive-osint

External reconnaissance planning translates authorized target domains into concrete probe paths, wordlists, and copy-paste curl one-liners for subdomain and endpoint discovery. You receive a structured, evidence-scoped workflow that prioritizes high-yield findings for asset discovery.

Secret identification during OSINT uses a secret-pattern catalog with regex coverage to locate likely credential leaks. Read-only secret validators and a local stdlib helper script mirror and verify these exposed credentials without modifying external assets.

Severity scoring for takeover reconnaissance uses scoring rubrics like endpoint interest score and mobile ownership confidence combined with severity decision matrices. This scoring helps operators focus on the highest-yield findings and prioritize asset discovery targets.

Identity-fabric endpoint enumeration and SaaS public-surface hunting map external identities and exposed SaaS applications. This process generates structured probe paths and wordlists to discover unauthorized access points for bug bounty asset discovery.

Swagger, OpenAPI, and GraphQL discovery on external targets translates reconnaissance questions into specific probe paths and wordlists. This structured approach yields evidence-scoped findings that fit a guided recon and severity scoring pipeline.

Auditable red-team recon requires consistent finding fields, evidence hygiene standards, timestamps, and hashing guidance. These output conventions maintain rules-of-engagement posture and ensure workflows remain structured and verifiable for external asset discovery.