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โ [ OK ] blueprint engine ............................ ONLINE โ
โ [ OK ] evidence archive ............................ MOUNTED โ
โ [ OK ] human-approval gates ........................ ENFORCED โ
โ [ >> ] awaiting collaboration request ... โฎ โ
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โโ FILE No. CC-2026 โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ NAME Christopher Cortes
โ FOCUS Secure web apps ยท AI integration ยท Security tooling
โ EXPERIENCE 4+ years freelance ยท 10+ shipped projects
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I build web and mobile applications where security is part of the design, not an afterthought: role-based access, audit trails, tamper-evident records, and human-approved automation.
My current focus is Anterior-Security, a verification-first security testing platform for small teams and independent developers.
Right now I'm designing security tooling for the people big vendors overlook: solo developers and small teams shipping AI-assisted or no-code web apps, who need verified findings in plain language, not a 200-item scanner dump.
Anterior-Security (An-Sec) is a verification-first web application security testing platform built for small teams and independent developers who ship AI-assisted and no-code applications. Rather than producing a long scanner report, it returns a small number of verified, evidence-backed findings, each explained in plain language and traceable through a complete audit trail that can serve as proof of due diligence.
The platform is designed around one principle: no action runs without authorization, and no active test runs without a human decision.
- Authorized targets only. Ownership is proven through a DNS TXT record or a
/.well-known/verification file, and is re-checked on a schedule and before every active run. A lapsed verification suspends the target and invalidates existing approvals. - A single authorization chokepoint. Every action is an
ActionProposalthat must move fromPROPOSEDtoAPPROVEDby a human before it can execute. No code path can create a pre-approved proposal, and AI-originated proposals can never approve themselves. - Deterministic dispatch checks. Emergency stop, target verification, engagement status, scope, the forbidden-action list, human approval, rate limits and isolation are evaluated in a fixed order on every run, and every failure is logged with its reason.
- Evidence over alerts. Findings are linked to immutable evidence records and presented with plain-language summaries and technical detail side by side.
| Tier | Capability | Authorization |
|---|---|---|
| 1 | Passive reconnaissance: DNS, certificate transparency, HTTP probing, security headers, technology fingerprinting | Rule-based, no approval |
| 2 | Safe active discovery: scoped crawl, endpoint and parameter discovery, CORS, cookie and HTTP method inspection | Rule-based, rate-limited and scope-checked |
| 3 | Verification of broken access control (IDOR), exposed secrets and misconfigured headers, and permissive CORS | Explicit human approval per proposal |
| 4-5 | Exploitation and post-exploitation | Hard-disabled in code; schema only |
Destructive writes, credential brute force, denial-of-service-style load, exfiltration of real user data, and any action outside scope or against an unverified target are permanently forbidden and cannot be enabled through configuration.
โโ CASE FILE โ001 โโโโโโโโโโโโโโโโโโโ [ PRIVATE REPO ยท v2 ]
โ CODENAME ANTERIOR-SECURITY (An-Sec) โ Verified-Findings Platform
โ OBJECTIVE Verified findings, explained in plain language,
โ with proof the owner can show a client or auditor.
โ AUDIENCE Indie SaaS builders ยท small agencies ยท AI/no-code
โ app makers without a dedicated security team
โ METHOD Recon โ Discover โ Investigate โ Verify โ Report
โ CONTROLS Verified ownership ยท scoped, rate-limited actions
โ ยท human sign-off ยท emergency stop ยท audit log
โ EVIDENCE Immutable evidence records ยท traceable findings
โ ยท plain-language reporting
โ STACK Python ยท Django ยท FastAPI ยท PostgreSQL ยท React ยท LLM APIs
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