Attack your code before anyone else does.

Connect your repo and Infiniview runs a full security audit, code review, and interaction stress test on every pull request and on demand, inside isolated cloud sandboxes.

  • Isolated cloud sandboxes
  • No test cases to write
  • Nothing touches production
Scanningacme/web-app
Sample run
  1. setuppipelinesandboxes provisioned
  2. scancode-reviewlogic + type-safety pass
  3. scanruntime-attackruntime weakness confirmed
  4. scaninteractioninteraction issue reproduced
  5. reportpipelineproof bundle assembled
0 critical0 high
Posted to PR #247

The attack classes Infiniview runs against your app

  • Injection
  • Auth attacks
  • API fuzzing
  • SSRF
  • CORS
  • Session hijacking
  • Prompt injection
  • Rate limits
  • Crypto audit
  • File upload
  • Business logic
  • UI crawl
  • XSS payloads
  • Auth flows
  • Multi-tab races

The only security review you need before production.

  • 26scanners and security tools
  • 0test cases to write
  • 0production access required
  • 100%sandboxed and deleted after scan

Your code runs in isolated sandboxes and is deleted after every scan. We never store your source code.

From pull request to proof.

Code review, security testing, and interaction testing: fully automated, fully sandboxed.

  1. Trigger: Open a PR or use the dashboard.

    Infiniview picks it up instantly. Trigger from a pull request, an @infiniview review comment, or the dashboard.

  2. Sandbox: An isolated cloud environment spins up.

    Your repo is cloned, built, and deployed in a secure sandbox, fully isolated from production.

  3. Agents: Reviewers, scanners, attackers and testers run in parallel.

    Specialized agents run simultaneously: reviewing code, testing interactions, and probing for vulnerabilities.

  4. Enrich: Results are deduplicated and correlated.

    Findings are linked through the code graph and enriched with fix suggestions before anything ships to your PR.

  5. Report: Forensic findings land in the dashboard.

    Proof bundles you can replay, export, and compare across runs. Output also posts to the PR.

Illustration with sample data.

Forensic findings, not just alerts.

Every vulnerability comes with root-cause evidence, affected code paths, and a suggested fix.

Open the full interactive demo
Reviewacme/web-app
Sample data

SQL injection in admin search filter

CriticalInjection Verified exploit92% confidence

Unsanitized `q` query param interpolated into a raw query. The proof of concept confirms `' OR 1=1 --` exfiltrates user emails.

GET /admin/search?q=%25' OR 1=1 --
200 OK · 4,812 rows returned
GET /admin/search?q=%25' UNION SELECT email,password_hash,NULL FROM users --
200 OK · credentials echoed in results

Every layer, covered.

Static analysis, runtime attacks, interaction testing, and AI code review, combined into one scan.

Four agents review every changeParallel AI agents analyze your code for logic bugs, performance issues, type safety violations, and style problems, simultaneously, on every PR.

Twenty-six scanners, one passStatic analysis across your code, dependencies, secrets, and infrastructure-as-code, correlated with what the runtime agents confirm.

Real exploits, not guessesAI agents deploy your app in a sandbox and attempt real attacks: SQL injection, auth bypass, SSRF, session hijacking. If there’s a crack, they find it and prove it.

Tests every user path automaticallyComputer-vision agents interact with your running app like real users. They fill forms, click buttons, test auth flows, and discover broken states no static tool can find.

Built around proof.

Forensic findings

Every vulnerability comes with proof: screenshots, HTTP traces, console logs, affected code paths, and a fix suggestion. Show your team exactly what’s wrong and how to fix it.

Cloud sandboxes

Your code runs in isolated environments. Nothing shared. Deleted after every scan.

Attack path analysis

Discovers multi-step vulnerability chains that single-point scanners miss.

Self-learning

Gets smarter with every scan. Learns your codebase patterns to reduce noise and improve evidence quality.

Compliance reports

Generate security compliance reports for SOC 2, ISO 27001, and internal audit requirements.

Connect your repo. That’s it.

No test cases to write. No OpenAPI specs to provide. No scanners to configure. Infiniview discovers your attack surface and generates test plans autonomously.

Questions? Answers.

hello@infiniflop.com gets a human.

Snyk and SonarQube are static analysis tools: they scan code without running it. Infiniview deploys your app in a sandbox and tests it at runtime with AI agents that attempt real attacks, test interactions, and review code. You’d need 4-5 separate tools to get what one Infiniview scan covers.

No. Connect your GitHub repo and Infiniview handles everything: it discovers your attack surface, generates test plans, and executes them autonomously. No OpenAPI specs, no test scripts, no YAML configs.

Your code runs inside isolated cloud sandboxes that are torn down after every scan. We never store your source code. Only findings, proof bundles, and scan metadata persist so you can review results.

Infiniview supports any language or framework that can be built and deployed in a container. The static scanners cover JavaScript/TypeScript, Python, Go, Ruby, Java, PHP, and Rust. Runtime and interaction testing works with any web application.

Scan time depends on your app’s size and complexity. Agents run in parallel with a 10-minute timeout per phase, and you’ll see real-time progress in the dashboard as each agent completes its work.

Join the waitlist and we’ll invite you as spots open. Early members get priority access and free scans during the beta period.

Think your app is unbreakable?

Put it to the test. Our AI agents will throw everything they have at your application. If there is a crack, they will find it.

Read the docs