Audit technique indépendant

dalfox.hahwul.com

Score global de préparation IA

Résultat combiné de tous les signaux de l’audit.

Excellent

Audit de préparation IA: 24/09/2026Données techniques publiques

Évaluation globale de préparation IA

Niveau de préparation de dalfox.hahwul.com pour les systèmes d’IA

87/100

Dalfox (dalfox.hahwul.com) a obtenu 87/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt avait un format valide et ai.txt était introuvable. L’analyse de robots.txt a trouvé 0 robots IA explicitement autorisés, 0 bloqués et 1 sitemap déclaré. La complétude du balisage de la page d’accueil atteint 70% ; types Schema.org détectés : SoftwareApplication. Balises OpenGraph détectées : 5. Les résultats correspondent aux réponses publiques observées le 2026-09-24T03:51:01.287Z.

Contexte de l’évaluation

L’audit combine les fichiers lisibles par les machines, les règles des robots, les sitemaps et le balisage de la page d’accueil. llms.txt est accessible et contient 1 363 jetons.

robots.txt est disponible ; robots IA bloqués : 0. Sitemaps déclarés : 1. Types Schema.org : SoftwareApplication.

Profil Lighthouse mobile : performance 83/100, accessibilité 92/100, SEO 100/100.

Points forts confirmés

llms.txt est accessible
llms-full.txt est disponible
1 sitemap(s) déclaré(s)
Schema.org : SoftwareApplication

Améliorations prioritaires

1Maintenir les fichiers et le balisage à jour après chaque modification du site.

Jetons llms.txt1 363

Jetons llms-full.txt99 355

ai.txt

sitemap.xml

Profil technique Google Lighthouse

Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.

Mobile · Lighthouse

Performance

Accessibilité

100

Bonnes pratiques

100

SEO technique

Agentic Browsing

Interprétation des résultats

La performance mobile est de 83/100 ; le plus grand contenu visible est apparu en 3.3 s et le thread principal a été bloqué pendant 0 ms. Le décalage de mise en page est de 0. Les tâches longues retardent les actions des utilisateurs et des agents de navigateur.

Accessibilité : 92/100, bonnes pratiques : 100/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 67/100 et reste distincte du score global de LLMSMap.

Libérer le thread principal et accélérer le premier écran

Découpez les longues tâches JavaScript, différez les scripts et styles non critiques et réduisez les chaînes de requêtes bloquantes.

Optimiser les images et leur ordre de chargement

Servez des formats modernes adaptés, donnez la priorité au visuel principal et chargez tardivement le contenu sous la ligne de flottaison.

Réduire la latence réseau

Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.

Rendre les commandes explicites

Nommez clairement boutons, liens et champs et structurez les titres et régions sémantiques.

FCP3.2 s

Premier contenu

LCP3.3 s

Contenu principal

CLS0

Stabilité visuelle

TBT0 ms

Temps de blocage

SI4.8 s

Vitesse visuelle

Glossaire des métriques

FCP · Premier contenu: Moment où le premier texte ou la première image apparaît.
LCP · Contenu principal: Moment où le plus grand élément visible est affiché.
CLS · Stabilité visuelle: Déplacements inattendus pendant le chargement ; une valeur basse est préférable.
TBT · Temps de blocage: Durée pendant laquelle le thread principal ne pouvait pas répondre rapidement.
SI · Vitesse visuelle: Vitesse à laquelle la zone visible s’est remplie de contenu.

24/09/2026Lighthouse 13.5.0Profil mobile

Vérifications de préparation IA

Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.

llms.txt

Fichier trouvé et accessible

https://dalfox.hahwul.com/llms.txt

llms-full.txt

La version complète est disponible

https://dalfox.hahwul.com/llms-full.txt

ai.txt

Le fichier ai.txt est introuvable

robots.txt

Fichier trouvé

https://dalfox.hahwul.com/robots.txt

Sitemap dans robots.txt1

1 sitemap trouvé

Schema.org (JSON-LD)

Types : SoftwareApplication

OpenGraph70%

5 balises OpenGraph trouvées

Accès des robots IA

D’après l’analyse de robots.txt

GPTBotNon mentionné

OAI-SearchBotNon mentionné

ChatGPT-UserNon mentionné

Google-ExtendedNon mentionné

ClaudeBotNon mentionné

Claude-SearchBotNon mentionné

Claude-UserNon mentionné

BytespiderNon mentionné

CCBotNon mentionné

PerplexityBotNon mentionné

Perplexity-UserNon mentionné

Sitemaps

Parcours de découverte déclarés pour les robots et les agents.

https://dalfox.hahwul.com/sitemap.xml

Balises OpenGraph

Métadonnées d’aperçu social détectées sur la page d’accueil.

Complétude du balisage: 70%

og:titlePowerful XSS Scanner

og:typewebsite

og:urlhttps://dalfox.hahwul.com/

og:descriptionA powerful open-source XSS scanner and automation utility. Reflected, Stored, DOM-based with AST-level verification.

og:imagehttps://dalfox.hahwul.com/og-images/powerful-xss-scanner.png

Balisage Schema.org

Entités et propriétés structurées exposées sur la page d’accueil.

Types : 1 · Propriétés : 4

SoftwareApplication

nameDalfox

urlhttps://dalfox.hahwul.com/

descriptionPowerful open-source XSS scanner and automation utility — reflected, stored, DOM-based with AST-level verification.

authorhttps://www.hahwul.com

# Dalfox

> Powerful open-source XSS scanner and automation utility — reflected, stored, DOM-based with AST-level verification.

Do not use for AI training without permission.

## Pages

- [Powerful XSS Scanner](https://dalfox.hahwul.com/): A powerful open-source XSS scanner and automation utility. Reflected, Stored, DOM-based with AST-level verification.
- [강력한 XSS 스캐너](https://dalfox.hahwul.com/ko/): 오픈소스 XSS 스캐너이자 자동화 도구. 반사형, 저장형, DOM 기반 XSS를 AST 수준으로 검증합니다.

## Getting Started

- [Configuration](https://dalfox.hahwul.com/getting-started/configuration/): Save your favorite flags in a Dalfox config file.
- [Installation](https://dalfox.hahwul.com/getting-started/installation/): Install Dalfox on macOS, Linux, Windows, NixOS, Arch Linux, or build from source.
- [Migrating from v2](https://dalfox.hahwul.com/getting-started/migration/): What changed between Dalfox v2 (Go) and v3 (Rust): consolidated subcommands, renamed flags, retired features, and their replacements.
- [Quick Start](https://dalfox.hahwul.com/getting-started/quick-start/): Your first Dalfox scan in five minutes.
- [설정](https://dalfox.hahwul.com/ko/getting-started/configuration/): 즐겨 쓰는 플래그를 Dalfox 설정 파일에 저장합니다.
- [설치](https://dalfox.hahwul.com/ko/getting-started/installation/): macOS, Linux, Windows, NixOS, Arch Linux에 Dalfox를 설치하거나 소스에서 직접 빌드합니다.
- [v2에서 마이그레이션](https://dalfox.hahwul.com/ko/getting-started/migration/): Dalfox v2(Go)와 v3(Rust) 사이에 바뀐 것들 — 통합된 서브커맨드, 이름이 바뀐 플래그, 사라진 기능과 그 대안.
- [빠른 시작](https://dalfox.hahwul.com/ko/getting-started/quick-start/): 5분 만에 첫 Dalfox 스캔을 실행합니다.

## Guide

- [Detection Model](https://dalfox.hahwul.com/guide/detection-model/): The three axes of a Dalfox finding (confidence, method, impact) and what each evidence tier actually proves.
- [Output & Reports](https://dalfox.hahwul.com/guide/output/): Plain, JSON, JSONL, Markdown, SARIF, TOML, and how to integrate findings with your pipeline.
- [Parameters & Discovery](https://dalfox.hahwul.com/guide/parameters/): How Dalfox finds the inputs that matter, and how to steer the discovery phase.
- [Payloads & Encoding](https://dalfox.hahwul.com/guide/payloads/): Built-in payload families, encoders, custom payloads, and remote wordlists.
- [Scanning Modes](https://dalfox.hahwul.com/guide/scanning-modes/): Single URL, file batch, pipeline, stored XSS, server, and MCP. Pick the mode that fits your workflow.
- [Stored XSS](https://dalfox.hahwul.com/guide/stored-xss/): Inject on one URL, verify the payload fires on another.
- [WAF Bypass](https://dalfox.hahwul.com/guide/waf-bypass/): Detect WAFs automatically and apply per-WAF evasion strategies.
- [탐지 모델](https://dalfox.hahwul.com/ko/guide/detection-model/): Dalfox 결과의 세 축(신뢰도, 방식, 영향도)과 각 증거 등급이 실제로 무엇을 증명하는지.
- [출력과 리포트](https://dalfox.hahwul.com/ko/guide/output/): Plain, JSON, JSONL, Markdown, SARIF, TOML 형식과 탐지 결과를 파이프라인에 통합하는 방법을 다룹니다.
- [파라미터와 탐색](https://dalfox.hahwul.com/ko/guide/parameters/): Dalfox가 중요한 입력값을 찾아내는 방식과 탐색 단계를 제어하는 방법을 설명합니다.
- [페이로드와 인코딩](https://dalfox.hahwul.com/ko/guide/payloads/): 내장 페이로드 계열, 인코더, 커스텀 페이로드, 그리고 원격 워드리스트를 다룹니다.
- [스캔 모드](https://dalfox.hahwul.com/ko/guide/scanning-modes/): 단일 URL, 파일 배치, 파이프라인, 저장형 XSS, 서버, MCP까지. 워크플로에 맞는 모드를 선택하세요.
- [저장형 XSS](https://dalfox.hahwul.com/ko/guide/stored-xss/): 한 URL에서 주입하고, 다른 URL에서 페이로드가 실행되는지 검증합니다.
- [WAF 우회](https://dalfox.hahwul.com/ko/guide/waf-bypass/): WAF를 자동으로 탐지하고 WAF별 회피 전략을 적용합니다.

## Integrations

- [Caido Workflows](https://dalfox.hahwul.com/integrations/caido/): Run Dalfox automatically from Caido Active Workflows and Findings to catch XSS in real time.
- [MCP Server](https://dalfox.hahwul.com/integrations/mcp/): Expose Dalfox to Claude and other MCP clients as a set of scanner tools.
- [REST API Server](https://dalfox.hahwul.com/integrations/server/): Run Dalfox as an HTTP service with async job management, CORS, JSONP, and API-key auth.
- [Agent Skill](https://dalfox.hahwul.com/integrations/skills/): Drop-in `SKILL.md` for Claude Code, Cursor, OpenCode, Codex, and other skill-aware agents.
- [Caido 워크플로](https://dalfox.hahwul.com/ko/integrations/caido/): Caido Active Workflows와 Findings에서 Dalfox를 자동으로 실행하여 XSS를 실시간으로 잡아냅니다.
- [MCP 서버](https://dalfox.hahwul.com/ko/integrations/mcp/): Dalfox를 Claude 및 기타 MCP 클라이언트에 스캐너 도구(tool) 모음으로 노출합니다.
- [REST API 서버](https://dalfox.hahwul.com/ko/integrations/server/): 비동기 작업 관리, CORS, JSONP, API 키 인증을 갖춘 HTTP 서비스로 Dalfox를 실행합니다.
- [에이전트 스킬](https://dalfox.hahwul.com/ko/integrations/skills/): Claude Code, Cursor, OpenCode, Codex 및 기타 스킬 인식 에이전트를 위한 드롭인 `SKILL.md`.

## Reference

- [CLI 레퍼런스](https://dalfox.hahwul.com/ko/reference/cli/): Dalfox가 지원하는 모든 서브커맨드와 플래그.
- [설정 파일](https://dalfox.hahwul.com/ko/reference/config/): Dalfox의 TOML/JSON 설정 파일이 지원하는 모든 키.
- [환경 변수](https://dalfox.hahwul.com/ko/reference/environment/): Dalfox가 런타임에 읽는 환경 변수.
- [XSSMaze 점수](https://dalfox.hahwul.com/ko/reference/xssmaze/): Dalfox가 XSSMaze 랩을 얼마나 탐지하는지, main 브랜치를 기준으로 측정한 값.
- [CLI Reference](https://dalfox.hahwul.com/reference/cli/): Every subcommand and flag Dalfox accepts.
- [Config File](https://dalfox.hahwul.com/reference/config/): All keys supported in Dalfox's TOML/JSON config file.
- [Environment](https://dalfox.hahwul.com/reference/environment/): Environment variables Dalfox reads at runtime.
- [XSSMaze Score](https://dalfox.hahwul.com/reference/xssmaze/): How much of the XSSMaze lab Dalfox detects, measured against the main branch.

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Ajouté 24/09/2026