AI-powered web application security scanner — OWASP Top 10, HIPAA, GDPR, ISO 27001, APPI
Project description
KageSec
A security scanner that actually finds things. KageSec crawls your web app, throws 61 vulnerability modules at it, runs 50 CVE templates, and — if you give it a Claude API key — uses AI to verify whether the findings are real or just vibes.
Think of it as Nuclei and ZAP had a baby, the baby learned Python, and then the baby got really into AI.
Why this exists
I paid a security firm thousands of dollars to do a penetration test for my startup. Fair enough — you need a PTAA report, compliance asks for it, I get it.
Then, at the end of the engagement, the same firm casually mentioned they also offer an automated DAST scanning service. Ongoing. Recurring. Thousands of dollars a year. For a tool that runs automatically.
I sat with that for a moment.
I know Nuclei exists. It's great. It's the industry open-source standard and ProjectDiscovery has built something genuinely impressive. But the companies built on top of it will happily charge you enterprise pricing for what is, at its core, a YAML template runner with a nice UI.
So I built KageSec instead — open-source, AI-powered, and free. It runs the same categories of checks, uses Nuclei-compatible templates, and adds Claude AI on top to verify whether findings are actually exploitable (so you're not manually triaging 200 false positives at 11pm).
Zero subscription fees. Zero per-seat pricing. Zero "contact us for enterprise". Just clone it and run it.
Claude Code Users
If you use Claude Code to build and deploy your apps, KageSec plugs in directly. Two ways to use it:
Option 1 — Ask Claude to scan during a conversation:
Once you add KageSec as an MCP server (see Claude Code Integration below), you can just tell Claude:
"Scan this for security issues" or "Deploy it and then run a security scan"
Claude will call kagesec_scan() as a tool and report findings back in the conversation.
Option 2 — Automatic scan on every deployment:
The .claude/ folder in this repo includes a hook that fires after any deployment Bash command (Vercel, Netlify, Heroku, Railway, Fly.io, AWS, etc.). Claude detects the live URL from the deployment output and starts a background scan automatically. No extra steps.
Check reports/ when it's done.
What it does
- 61 vulnerability modules — XSS, SQLi, SSRF, SSTI, XXE, deserialization, request smuggling, prototype pollution, JWT attacks, and more. If it's in the OWASP Top 10, we've got a module for it.
- 50 CVE templates — Log4Shell, ProxyShell, Spring4Shell, MOVEit, Citrix Bleed, and the rest of the greatest hits
- AI verification — Claude API checks whether findings are actually exploitable, so your report doesn't look like it was written by a panicking intern
- Headless browser crawling — Playwright handles SPAs and JS-heavy apps. Enabled by default because it's 2025 and everything is a React app
- Full auth support — Bearer tokens, cookies, OAuth2, multi-step logins, TOTP 2FA. If your app has a login page, we can get in
- API scanning — OpenAPI, GraphQL, gRPC, SOAP/WSDL, HAR import. REST or not, we're scanning it
- 5 report formats — JSON, PDF, SARIF, Burp XML, ZAP JSON — all saved to the
reports/folder so your project root stays clean - Compliance mapping — ISO 27001, HIPAA, GDPR, APPI. For when your boss asks "are we compliant?" and you need a real answer
- CI/CD native — GitHub Actions,
--fail-on high, SARIF upload. Break the build before the attacker breaks your users - Claude Code integration — Runs automatically when you deploy via Claude Code. Your AI coding assistant now has a paranoid security sidekick
Installation
pip install kagesec
Want the full experience?
pip install "kagesec[browser]" # Playwright (you probably want this)
pip install "kagesec[pdf]" # PDF reports
pip install "kagesec[dns]" # DNSSEC + subdomain enumeration
pip install "kagesec[browser,pdf,dns]" # The whole thing
After installing browser or pdf, grab Chromium:
playwright install chromium
Quick Start
# Basic scan — finds stuff, saves reports to reports/
kagesec scan https://target.example.com
# With AI verification (actually useful, highly recommended)
ANTHROPIC_API_KEY=sk-ant-... kagesec scan https://target.example.com --output all
# Scan a React/Vue/Next.js SPA properly (browser is on by default)
kagesec scan https://target.example.com
# Disable browser for a faster, lighter scan
kagesec scan https://target.example.com --no-browser
# Only care about specific vulnerabilities?
kagesec scan https://target.example.com --modules xss sqli ssrf
# Scan multiple targets at once
kagesec scan --targets urls.txt --parallel 5 --output sarif
# Passive mode — look but don't touch
kagesec scan https://target.example.com --passive
# Slow and sneaky (useful if the target has a WAF)
kagesec scan https://target.example.com --profile stealth --rate-limit 2
# Through Burp for manual review alongside
kagesec scan https://target.example.com --proxy http://127.0.0.1:8080
Authentication
KageSec can log into your app before scanning. Yes, even the annoying ones with 2FA.
# Bearer token
kagesec scan https://api.example.com --auth-bearer eyJhbGc...
# Session cookie
kagesec scan https://app.example.com --auth-cookie "session=abc123"
# OAuth2 client credentials
kagesec scan https://api.example.com \
--auth-oauth2-token-url https://auth.example.com/token \
--auth-oauth2-client-id my-client \
--auth-oauth2-client-secret my-secret
# Multi-step browser login (clicks the form like a human)
kagesec scan https://app.example.com \
--login-url https://app.example.com/login \
--login-user-selector "#email" \
--login-pass-selector "#password" \
--login-submit-selector "button[type=submit]" \
--login-username admin@example.com \
--login-password secret \
--login-success "/dashboard"
# 2FA with TOTP — yes really
kagesec scan https://app.example.com \
--login-url https://app.example.com/login \
--login-username admin@example.com \
--login-password secret \
--login-totp-secret JBSWY3DPEHPK3PXP
API & Protocol Scanning
# OpenAPI / Swagger (URL or local file)
kagesec scan https://api.example.com --openapi https://api.example.com/openapi.json
# GraphQL
kagesec scan https://api.example.com --graphql https://api.example.com/graphql
# gRPC
kagesec scan grpc://api.example.com:50051 --grpc api.example.com:50051
# SOAP / WSDL (yes, some companies still use SOAP)
kagesec scan https://api.example.com --wsdl https://api.example.com/service?wsdl
# Import a HAR file (great for scanning authenticated flows you recorded in Chrome DevTools)
kagesec scan https://app.example.com --har ./session.har
Claude Code Integration
KageSec can act as a tool inside Claude Code. When Claude deploys your app, KageSec can automatically scan it.
Option 1 — MCP Server (Claude calls it as a tool)
Add to your project's .mcp.json:
{
"mcpServers": {
"kagesec": {
"command": "python3",
"args": ["-m", "scanner.mcp_server"],
"cwd": "/path/to/KageSec"
}
}
}
Now Claude can call kagesec_scan("https://your-app.com") directly inside a conversation. Tell Claude: "after you deploy, run a security scan" — and it will.
Option 2 — PostToolUse Hook (auto-triggers on deployment)
The .claude/settings.json and .claude/hooks/post_deploy_scan.py files are already included in this repo. When Claude runs a deployment command (Vercel, Netlify, Heroku, Railway, Fly.io, AWS, etc.), the hook extracts the live URL from the output and kicks off a background scan automatically.
You don't have to do anything. Deploy → scan happens. Check reports/ when it's done.
Modules
Injection
| Module | Covers |
|---|---|
xss |
Reflected, stored, DOM-based, blind XSS, second-order, header injection |
sqli |
Error-based, time-blind, UNION, boolean, stacked queries, NoSQL, LDAP, OOB |
ssrf |
URL params, form inputs, headers, cloud metadata (AWS/Azure/GCP), OOB callbacks |
cmd_injection |
OS command injection via metachar + OOB confirmation |
ssti |
Server-side template injection — Jinja2, Freemarker, ERB |
csti |
Client-side template injection — Angular, Vue.js, React |
ssi |
Server-side include injection (Apache, nginx) |
xxe |
XML external entity + OOB exfiltration |
xpath |
XPath injection (error-based + boolean blind) |
crlf |
CRLF injection / HTTP response splitting |
log4j_deep |
Log4Shell (CVE-2021-44228) + variants, LDAP/RMI payloads |
shellshock |
Shellshock / bash injection (CVE-2014-6271) |
blind_xss |
Blind XSS with OOB callback confirmation |
Authentication & Session
| Module | Covers |
|---|---|
jwt_attacks |
Weak secret cracking, algorithm confusion, none alg bypass |
oauth |
Token exposure, redirect bypass, implicit flow CSRF |
auth_bypass |
Default credentials, bypass filters, API key extraction |
session_fixation |
Session fixation + hijacking |
session_entropy |
Weak session token predictability |
csrf |
Missing token detection, weak token patterns |
username_enumeration |
Timing attacks + error message differences |
Access Control
| Module | Covers |
|---|---|
idor |
Incremental ID enumeration + access control testing |
path_traversal |
../ traversal, URL encoding, double encoding |
http_methods |
Unsafe HTTP methods (PUT, DELETE, TRACE, CONNECT) |
Web Application
| Module | Covers |
|---|---|
open_redirect |
Protocol-relative + fragment bypass |
file_upload |
Extension blacklist bypass, MIME-type spoofing |
deserialization |
Java (ysoserial), Python (pickle), PHP unsafe deserialization |
cache_poisoning |
Header injection, param smuggling, Cache-Control abuse |
host_header |
SSRF via Host, password reset redirect abuse |
request_smuggling |
HTTP request smuggling — CL.TE, TE.CL, TE.TE desync |
prototype_pollution |
JavaScript prototype pollution |
padding_oracle |
CBC decryption via padding oracle |
http_param_pollution |
Backend parser confusion (IIS, Apache, Tomcat) |
business_logic |
Price manipulation, discount bypass, logical flaws |
race_condition |
Concurrent request race detection |
multistep_injection |
Multi-step wizard injection, sequential payload chains |
form_fuzz |
Form field fuzzing + input validation |
API & Protocol
| Module | Covers |
|---|---|
graphql |
Introspection bypass, query injection, DoS |
websocket |
XSS in WS messages, auth bypass, injection |
Headers & Configuration
| Module | Covers |
|---|---|
security_headers |
Missing CSP, HSTS, X-Frame-Options, X-Content-Type-Options |
cors |
Origin reflection, null origin, wildcard with credentials |
cookie_security |
Missing HttpOnly, Secure, SameSite flags |
clickjacking |
Missing X-Frame-Options / CSP frame-ancestors |
subresource_integrity |
Missing or weak SRI on external scripts |
crossdomain |
Flash/Silverlight crossdomain.xml misconfiguration |
tls |
Weak ciphers, self-signed, expired certs, OCSP stapling |
Reconnaissance & Discovery
| Module | Covers |
|---|---|
path_discovery |
Wordlist-based directory and file fuzzing |
param_discovery |
Common GET/POST parameter detection |
exposed_files |
Backup and archive file discovery (.bak, .zip, .sql) |
robots_probe |
robots.txt path enumeration |
vhost_enum |
DNS-based virtual host enumeration |
subdomain_takeover |
CNAME/NS resolution check for unclaimed domains |
version_disclosure |
Server header, X-Powered-By, framework banners |
api_key_leak |
API key exposure in response headers and bodies (context-aware, low false positives) |
breach |
HaveIBeenPwned credential exposure check |
waf_detect |
WAF/IPS fingerprinting (ModSecurity, F5, Cloudflare, etc.) |
waf_bypass |
Encoding/obfuscation — URL, Unicode, case mutation, comment injection |
coverage_check |
Crawl coverage metrics (pages, params, methods) |
debug_mode |
Debug mode enabled, stack trace disclosure, verbose error pages |
cve_check |
CVE fingerprinting from response signatures |
ai_cve |
Claude API: dynamic CVE research + targeted template generation |
dnssec |
DNSSEC, SPF, DMARC validation |
rate_limit |
Insufficient rate limiting / missing brute-force protection |
captcha_check |
Weak CAPTCHA (client-side validation, predictable seeds) |
templates |
Nuclei-compatible YAML template runner (59 built-in; use --nuclei-templates for 10k+ community templates) |
CVE Templates
50 built-in Nuclei-compatible YAML templates covering the CVEs that actually matter:
- Log4Shell — CVE-2021-44228, CVE-2021-45046 (the one that ruined December 2021 for everyone)
- ProxyShell — CVE-2021-34473
- Spring4Shell — CVE-2022-22965
- Follina — CVE-2022-30190
- Text4Shell — CVE-2022-42889
- MOVEit RCE — CVE-2023-34362
- Citrix Bleed — CVE-2023-4966
- ConnectWise ScreenConnect — CVE-2024-1709
- Confluence RCE — CVE-2023-22515
- Exchange ProxyNotShell — CVE-2022-41082
- F5 BIG-IP — CVE-2022-1388
- Plus Apache, VMware vCenter, GitLab, Cisco, Fortinet, Minio, TeamCity, Jenkins, and more
Extra template categories:
- Exposed panels (7): Grafana, Jenkins, Kibana, Laravel Telescope, phpMyAdmin, Prometheus, Spring Boot Actuator
- Misconfigurations (7):
.envexposure,.gitexposure, GraphQL introspection open, Swagger/OpenAPI public,phpinfo.php, Apache server-status, backup files - AI-generated: Claude generates targeted templates per detected stack and caches them for 30 days
Want the full 10,000+ Nuclei community templates?
kagesec update-templates
# Then run with them (warning: slow without an AI key for template selection)
kagesec scan https://target.example.com --nuclei-templates
With an AI key, Claude selects the 80-200 relevant templates from the 10k+ pool — so you get community coverage without the 3-hour scan time.
Reports
All reports are saved to the reports/ folder automatically.
# JSON (default — machine-readable, everything)
kagesec scan https://target.example.com
# PDF (nice-looking, shareable with stakeholders who don't read JSON)
kagesec scan https://target.example.com --output pdf
# All formats at once
kagesec scan https://target.example.com --output all
# SARIF (GitHub Code Scanning)
kagesec scan https://target.example.com --output sarif
# Burp Suite XML
kagesec scan https://target.example.com --output burp
# OWASP ZAP JSON
kagesec scan https://target.example.com --output zap
# Markdown (human-readable narrative — requires AI key)
ANTHROPIC_API_KEY=sk-ant-... kagesec scan https://target.example.com --output markdown
# Push findings to Jira
kagesec issues --format jira \
--jira-url https://company.atlassian.net \
--jira-project SEC \
--jira-token $JIRA_TOKEN \
--min-severity high
# Open GitHub Issues
kagesec issues --format github \
--github-repo owner/repo \
--github-token $GITHUB_TOKEN
Compliance
kagesec scan https://target.example.com --compliance iso27001 gdpr hipaa appi
Findings map to a subset of controls in each standard — specifically the ones a DAST tool can actually test (encryption, authentication, injection, session management, TLS, data exposure). Controls that require a human auditor — physical security, HR policy, vendor contracts, incident response procedures — are flagged as "manual review required."
| Standard | Total Controls | DAST-Testable | KageSec Covers |
|---|---|---|---|
| ISO 27001:2022 | 93 | ~20–25 | 20 (19 auto + 1 manual) |
| HIPAA | 75+ | ~15 | 14 (11 auto + 3 manual) |
| GDPR | 99 articles | ~10 | 10 (6 auto + 4 manual) |
| APPI | 87+ articles | ~10 | 12 (6 auto + 6 manual) |
This is not a substitute for a full compliance audit or a real auditor. It gives you evidence for the technical controls and flags the gaps — which is useful for audit prep, not for printing a certificate. No DAST tool covers all controls. Neither does Nuclei, ZAP, or anything else that only sees HTTP traffic.
CI/CD
GitHub Actions
Create .github/workflows/security-scan.yml in your own repo:
name: Security Scan
on:
push:
branches: [main]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: KageSec Security Scan
uses: ZulAmi/KageSecurity@main
with:
target: https://staging.example.com
api-key: ${{ secrets.ANTHROPIC_API_KEY }}
fail-on: high
output: sarif
- name: Upload to GitHub Security tab
uses: github/codeql-action/upload-sarif@v4
if: always()
with:
sarif_file: reports/kagesec_report.sarif
Full examples (GitHub Actions + GitLab CI) are in the ci/ folder.
Break the build if something is actually bad
kagesec scan https://target.example.com --fail-on high
Exit code 1 if findings at or above the specified severity are found; 0 if you're good.
Delta Scanning
KageSec remembers which pages it already scanned. Unchanged pages get skipped on repeat runs — so your CI scans get faster over time, not slower. Use --full to force a complete rescan.
Advanced Usage
Scan Profiles
kagesec scan https://target.example.com --profile quick # Fast, low noise — good for CI
kagesec scan https://target.example.com --profile full # Everything, max depth — go make coffee
kagesec scan https://target.example.com --profile api # API-focused
kagesec scan https://target.example.com --profile passive # Look, don't touch
kagesec scan https://target.example.com --profile stealth # Low and slow, random User-Agent
Workflows
kagesec workflows
kagesec scan https://target.example.com --workflow quick-web
kagesec scan https://wp.example.com --workflow wordpress
Resume Interrupted Scans
Scan got killed halfway? Pick up where you left off:
kagesec scan https://target.example.com --resume <scan-id>
Custom Plugins
Drop a Python file into ~/.kagesec/plugins/ and it runs alongside everything else:
# ~/.kagesec/plugins/my_check.py
from scanner.core.scan_result import Finding, Severity
def test(page, client, **kwargs):
if "X-Custom-Header" not in page.headers:
return [Finding(
title="Missing X-Custom-Header",
severity=Severity.LOW,
url=page.url,
)]
return []
Out-of-Band (Blind) Detection
Blind SQLi, blind XSS, SSRF, XXE, and command injection are verified via OOB callbacks through oast.pro by default. This catches vulnerabilities that don't show up in the response.
# Disable for air-gapped targets
kagesec scan https://target.example.com --no-oob
# Use your own callback domain
kagesec scan https://target.example.com --oob-server callbacks.internal.example.com
Notifications
kagesec scan https://target.example.com \
--notify-slack https://hooks.slack.com/... \
--notify-min-severity high
Supports Slack, Teams, Discord, and generic JSON webhooks. Useful for setting up "page me if it finds anything critical" pipelines.
CLI Reference
Subcommands
| Command | Description |
|---|---|
scan <target> |
Scan a target URL |
diff <baseline> <current> |
Compare two reports, fail on new findings |
serve |
Start HTTP API server (0.0.0.0:8080) |
export --scan-id ID |
Bundle a checkpoint + report into a zip |
import-scan <file> |
Import a previously exported scan |
history [<target>] |
Show finding trends over time |
suppress |
Manage false-positive suppression rules |
retest <finding-id> |
Re-run a single finding |
issues |
Export to Jira or GitHub Issues |
workflows |
List available scan workflows |
config |
Manage persistent settings (~/.kagesec/config.yaml) |
update-templates |
Download Nuclei community templates |
Key scan Flags
| Flag | Default | Description |
|---|---|---|
--depth N |
3 | Crawl depth |
--max-pages N |
100 | Max pages to crawl |
--level 1-5 |
1 | Scan aggressiveness |
--risk 1-3 |
1 | Risk tolerance |
--browser |
on | Playwright headless crawling (use --no-browser to disable) |
--passive |
off | No injection — headers and content only |
--parallel N |
1 | Concurrent multi-target scanning |
--live |
off | Print findings as they're discovered |
--no-ai |
off | Skip Claude AI verification |
--fail-on LEVEL |
— | Exit 1 if findings at this severity or above |
--output FORMAT |
json | Report format (json/pdf/sarif/burp/zap/all) |
--modules M1 M2 |
all | Run only specific modules |
--nuclei-templates |
off | Include 10k+ Nuclei community templates |
--profile NAME |
— | Apply a scan preset |
--workflow NAME |
— | Run a predefined workflow |
--resume ID |
— | Resume an interrupted scan |
--full |
off | Force full rescan (skip delta optimization) |
--max-time MIN |
0 | Hard time limit in minutes |
Environment Variables
| Variable | Required | Description |
|---|---|---|
ANTHROPIC_API_KEY |
For AI features | Claude API key for exploit verification, CVE research, and report writing |
NVD_API_KEY |
Optional | NVD API key for faster CVE enrichment |
No API key? No problem. KageSec runs all 61 modules and produces full reports without one. You just won't get the AI triage layer or the narrative Markdown report.
Stack
- Language: Python 3.12+
- HTTP client: httpx
- Browser: Playwright (Chromium)
- AI: Claude API (Anthropic) —
claude-sonnet-4-6/claude-opus-4-7 - Templates: Nuclei-compatible YAML
- Reports: Jinja2, WeasyPrint (PDF), SARIF 2.1.0
Project Structure
kagesec/
├── cli/ # CLI entrypoint (main.py, 12 subcommands)
├── scanner/
│ ├── core/ # Engine, crawlers, config, delta state, OOB, rate limiter
│ ├── modules/ # 61 vulnerability detection modules
│ ├── templates/ # Built-in Nuclei-compatible YAML (CVEs, misconfigs, panels)
│ ├── ai/ # Claude API: verifier, reporter, CVE researcher, template selector
│ ├── reporters/ # PDF, SARIF, Burp XML, ZAP JSON, Jira, GitHub
│ ├── compliance/ # ISO 27001, HIPAA, GDPR, APPI mapping
│ ├── api/ # HTTP API server
│ ├── mcp_server.py # Claude Code MCP integration
│ └── utils/ # HTTP helpers, payload loading
├── .claude/
│ ├── settings.json # Claude Code hooks config
│ └── hooks/
│ └── post_deploy_scan.py # Auto-scan on deployment
├── tests/
│ ├── unit/
│ └── integration/ # DVWA, WebGoat, OWASP Juice Shop
├── reports/ # Scan output goes here (gitignored)
├── helm/ # Kubernetes Helm chart
├── Dockerfile
└── action.yml # GitHub Actions composite action
Contributing
This project is, and probably always will be, a work in progress.
There's always another module to write, another CVE to template, another compliance control to map, or another edge case in a web framework that breaks everything in a fun new way. Security is a moving target and so is this tool.
If you want to work on it together — whether you're a security researcher, a developer who found a bug, someone who wants to add a module for a vulnerability type we don't cover yet, or just someone who paid too much for a PTAA and wants to commiserate — reach out.
📧 zulhilmirahmat@protonmail.com
Pull requests, issues, ideas, war stories about enterprise security vendors, all welcome.
Legal Notice
Use this on systems you own or have permission to test. That's it. That's the rule.
KageSec actively sends attack payloads to targets. It is not a passive monitoring tool. Pointing it at someone else's server without permission is illegal in most jurisdictions — including the CFAA (US), Computer Misuse Act (UK), and similar laws worldwide. "I was just testing" is not a defence that has historically worked well in court.
The authors accept zero liability for misuse. This software is provided as-is.
Responsible use means:
- Written authorization before scanning anything you don't own
- Respect rate limits and don't take down production systems
- Disclose vulnerabilities responsibly to affected parties
- Follow all applicable laws in your jurisdiction
License
MIT
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Provenance
The following attestation bundles were made for kagesec-0.2.0-py3-none-any.whl:
Publisher:
publish.yml on ZulAmi/KageSecurity
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
kagesec-0.2.0-py3-none-any.whl -
Subject digest:
74ed54fda7cddd15f9fe420b8207ce93e86594f4664f913184b388f01a8d2338 - Sigstore transparency entry: 1667286365
- Sigstore integration time:
-
Permalink:
ZulAmi/KageSecurity@33ff089565328f1d177ed0d026a44923f0ceb3ff -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/ZulAmi
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@33ff089565328f1d177ed0d026a44923f0ceb3ff -
Trigger Event:
push
-
Statement type: