Test a running web application with Strix to find authentication, access control, and other security flaws. Review working proof-of-concept exploits, which demonstrate each issue, and use the evidence to guide fixes and retesting.
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Pentest a web app or website end to end — black-box testing of a live URL, staging environment, or local dev server that finds and exploits real vulnerabilities (auth bypass, broken access control, IDOR, injection, XSS, SSRF, business logic) and proves each one with a working proof-of-concept instead of a signature match. Runs with Strix, either the self-hosted open-source CLI or the managed app.strix.ai cloud. Use when the user asks to pentest, hack, security-test, or audit their web app, website, web application, or staging site.
安装前可以查看交给 AI 代理的指令内容。
Black-box (and optionally source-assisted) penetration testing of a running web app with Strix's autonomous agents. Every reported finding is validated with a working exploit, so there are no signature-based false positives to triage.
Install, LLM setup, all CLI flags, and the managed-cloud alternative are covered in the penetration-testing-with-strix skill — read it if the target is not a running web app, or if strix --version fails. For a run with no Docker and no LLM key, the same binary drives the managed platform: strix cloud login, then strix cloud scans start ... (details in managed-pentesting-with-strix). This skill is the web-app-specific workflow.
Before running anything, establish:
Ask for anything missing rather than guessing.
strix -n -t https://staging.example.com --max-budget 20 \
--instruction "Test account: qa@example.com / <password>. In scope: /app/*, /api/*. Do not touch /billing or send email. Focus on access control between the two seeded orgs."
Notes that matter for web apps specifically:
--instruction (or --instruction-file for anything long), including how to log in if the flow is unusual (magic link, SSO, MFA-exempt test user).-t https://github.com/org/app -t https://staging.example.com (or a local path). Source access materially improves coverage of business-logic and authorization flaws.http://host.docker.internal:3000 (Docker Desktop) so the sandbox can reach a dev server on the host.--scan-mode quick for a fast dev-loop pass, standard (~30 min) for a normal review, deep for pre-release assurance. Always set --max-budget.For a hosted run with no Docker/LLM key, or when the user wants a shareable dashboard and an auditor-ready PDF, use the cloud path in managed-pentesting-with-strix instead — same engine, same findings.
Read strix_runs/<run>/penetration_test_report.md first, then per-finding files in vulnerabilities/. Each contains the PoC — re-run it yourself to confirm before reporting to the user.
Exit codes: 0 no validated vulns in what was analyzed, 2 vulnerabilities found, 1 fatal error. A 0 is not proof of full coverage — if the budget or turn cap was hit the scan wraps up early, so check run.json status and cost against --max-budget before calling the app clean.
Hand findings to the fix-security-vulnerabilities-with-strix skill: patch the root cause, then re-run Strix against the same target to prove the exploit no longer works. Re-testing is the only reliable confirmation a fix landed.
To keep the app tested on every change rather than once, wire Strix into CI with ci-security-scanning-with-strix.
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Test REST, GraphQL, and gRPC APIs with Strix using schemas, credentials, and example data. Investigate authorization flaws, excessive data exposure, and other API risks, then verify findings with requests that reproduce the issue.
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Plan and coordinate Strix security assessments across source code, running applications, APIs, and continuous integration pipelines. Combine findings into one prioritized remediation plan based on demonstrated impact, removing duplicates and documenting gaps in test coverage.
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Set up Strix security checks in CI/CD to test pull request changes, report verified vulnerabilities, and gate merges. Covers both a CLI running on your own infrastructure and a managed service with pull request comments.
中文简介正在准备中。当前显示英语简介。
Review source code with Strix to trace data flow and authorization checks, then test suspected vulnerabilities in a running environment. Receive proven findings with exploit examples and code locations, while keeping unconfirmed observations clearly identified.
中文简介正在准备中。当前显示英语简介。
Turn Strix vulnerability findings into focused code fixes, prioritized by severity. Address root causes, rerun security scans and original exploit examples, and report the changes and verification results for each issue.
中文简介正在准备中。当前显示英语简介。
Run security tests for web apps, APIs, and source code on Strix Cloud without local Docker or an LLM key. Register targets, review findings in a team dashboard, export results, and configure recurring scans or PR reviews.
中文简介正在准备中。当前显示英语简介。