Point it at a URL, let the agent team test it
Point Probelith at a web app and it runs an automated QA and security pass with domain-specialist AI agents and rule-based engines. From backend to security, database to UI, each agent produces findings in its own field. Its defining strength is a static-validation funnel that eliminates false positives stage by stage.
Real findings, minimal noise
Agent team
AI agents and rule engines specialized in backend, database, security, validation and UI work side by side.
Dual-engine architecture
With-LLM and LLM-free modes; the default flow stays rule-based so it runs even on GPU-less servers.
False-positive filter
Regex candidates are refined by AST and taint analysis; survivors pass a validator — noise drops stage by stage.
Verdict system
Every finding gets a CONFIRMED, PLAUSIBLE or REJECTED verdict, so teams focus only on the real ones.
Bilingual verification panel
Verification steps are produced in both Turkish and English and shown per the platform language.
Auth-aware scanning
Authentication via config lets it reach and scan the protected pages behind a login.
A four-stage false-positive filter
Candidates gathered by a broad pattern sweep are narrowed at each stage of the funnel — only verifiable findings survive to the end.
- 01
Regex candidates
A broad pattern sweep collects the first candidate findings.
- 02
AST analysis
Context is checked on the syntax tree, filtering out noise.
- 03
Taint analysis
Tainted data flow is traced to confirm real reachability.
- 04
Validator
Survivors receive a CONFIRMED / PLAUSIBLE / REJECTED verdict.
The “Phosphor Ops” command center
Backend
Python/FastAPI: test engines, session orchestration, finding enrichment and reporting.
Frontend
A React/TypeScript “Phosphor Ops” design: dark terminal look, phosphor green, agent console.
Browser extension
A Chrome side-panel extension for in-browser session management.
Docker deployment
A database layer with Alembic migrations; an image-baked build served through nginx.
See Probelith up close
Talk to our team about a detailed demo, integration or partnership — we’ll get back to you shortly.
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