Platform

Web Application
Penetration Testing

Your web applications are the front door to your data. Canima deploys hundreds of vulnerability-specific AI agents that go deep into your apps: SPAs, REST APIs, GraphQL endpoints, WebSockets, testing every parameter, every endpoint, every authentication flow. Full OWASP Top 10 coverage and beyond, with proof-of-concept evidence for every confirmed finding.

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canima-agent

$ canima agent deploy --scope webapp
[*] Target: https://app.example.com
[*] Spider: 847 endpoints mapped
[+] SQLi (blind time-based): /api/users?id=1
    Payload: 1' AND SLEEP(5)-- -
    Response: 5.02s delay confirmed
[+] XSS (stored): /comments POST body
    Context: HTML attribute injection
[+] IDOR: /api/orders/{id} → user B data
[!] 14 confirmed vulnerabilities found

01 / FULL APPLICATION COVERAGE

Every Vulnerability Class Gets Its Own Expert Agent

A generic scanner runs the same checks against every parameter. Canima assigns a dedicated AI agent to each vulnerability class, an agent that thinks only about SQL injection, or only about XSS, or only about SSRF, eliminating context rot and catching what scanners miss.

Injection Attacks

Dedicated agents for SQL injection (6 techniques: error-based, UNION, blind boolean, blind time-based, stacked queries, out-of-band), OS command injection, NoSQL injection (MongoDB operators, JavaScript injection), and server-side template injection across Jinja2, Twig, Freemarker, and more. Each technique gets its own payload generation and detection logic.

SQLi (6 techniques) OS Command Injection NoSQL Injection SSTI

Cross-Site Scripting (XSS)

Specialized XSS agents test reflected, stored, and DOM-based vectors with context-aware payload generation. The agent understands HTML context (attribute, tag, JavaScript block, URL) and crafts payloads that match the injection point. Advanced fuzzing with encoding bypass, WAF evasion, and mutation-based payload generation for edge cases that template scanners miss.

Reflected XSS Stored XSS DOM-based XSS WAF Bypass

Authentication & Authorization

JWT vulnerability testing covers algorithm confusion (none, HS256/RS256 swap), claim tampering, weak signing keys, and token expiration bypass. IDOR testing across all identified object references with automated privilege escalation checks. Session management analysis includes fixation, prediction, and improper invalidation. Mass assignment and hidden parameter discovery via parameter fuzzing.

JWT Attacks IDOR Privilege Escalation Session Flaws

SSRF & Server-Side Attacks

SSRF agents test for internal service access, cloud metadata endpoint exposure (AWS IMDSv1/v2, GCP, Azure), protocol smuggling (gopher, file, dict), and DNS rebinding. XXE injection testing across XML parsers with out-of-band data exfiltration. Insecure deserialization detection for Java (ObjectInputStream), Python (pickle), YAML, and JSON formats.

SSRF Cloud Metadata XXE Deserialization

API & Modern Architecture Testing

GraphQL testing covers introspection abuse, query complexity attacks (depth/breadth), batching attacks, and authorization bypass on nested resolvers. REST API testing includes method tampering, content-type confusion, and rate limiting bypass. WebSocket security testing for injection via message frames and cross-site WebSocket hijacking. HTTP request smuggling across CL.TE, TE.CL, and TE.TE desynchronization variants.

GraphQL REST APIs WebSockets Request Smuggling

Configuration & Infrastructure

Security header analysis validates CSP directives, HSTS preload status, X-Frame-Options, Referrer-Policy, and Permissions-Policy. CORS misconfiguration detection with origin reflection and null origin testing. Host header injection and cache poisoning assessment. Open redirect detection with chaining analysis, finding where a redirect can be leveraged as a stepping stone for phishing or token theft.

Security Headers CORS Cache Poisoning Open Redirects

Specialized AI Agents

100s

Beyond Top 10 Coverage

OWASP+

Findings With PoC Evidence

100%

Headless Browser Testing

Full SPA

02 / ASSESSMENT PIPELINE

How Web Application Testing Works

A four-stage pipeline that starts with complete application mapping, builds a baseline understanding, then deploys vulnerability-specific agents that share discoveries through the knowledge graph in real time.

Discovery & Application Mapping

Spider agents crawl the application using headless browser automation, navigating JavaScript-heavy SPAs, intercepting AJAX calls, evaluating the DOM, and capturing WebSocket traffic. Archive-based URL discovery and JavaScript static analysis supplement the crawl. Every endpoint, parameter, header, and cookie is indexed in the knowledge graph as interconnected nodes.

Baseline & Technology Fingerprinting

Fingerprinting agents identify frameworks, libraries, server technologies, and their exact versions. CVEs are mapped against detected versions with exploit availability data. The graph is enriched with technology nodes linked to their known vulnerability classes, informing which specialized agents should prioritize which endpoints.

Vulnerability-Specific Agent Deployment

Dedicated agents deploy in parallel: the SQLi agent targets parameters the graph has marked as database-backed, the XSS agent focuses on reflected output points, the SSRF agent tests URL-type parameters, and the auth agent probes access control boundaries. Each agent writes confirmed findings back to the graph with full request/response evidence, enabling cross-vulnerability chain detection.

Validation & Reporting

QA agents re-verify every finding, eliminating false positives. Each confirmed vulnerability gets CVSS scoring, CVE/CWE classification, affected URL and parameter detail, full reproduction steps with request/response captures, and specific remediation guidance. Reports include a vulnerability type distribution chart, security score, and executive summary alongside deep technical detail.

03 / PROJECT KNOWLEDGE GRAPH

Agents See What Scanners Cannot

Traditional scanners test parameters in isolation. Canima's agents share a live knowledge graph where every endpoint, parameter, and finding is connected. When the spider discovers a new API route, every vulnerability agent knows about it. When the SQLi agent confirms a database-backed parameter, the SSRF agent adjusts its strategy. This is coordinated intelligence, not parallel scanning.

cypher query

MATCH (crawler:SpiderAgent)
  -[:MAPPED]->(ep:Endpoint)
  -[:ACCEPTS]->(param:Parameter)
MATCH (sqli:SQLiAgent)
  -[:EXPLOITED]->(vuln:SQLi)
  -[:VIA]->(param)
WHERE vuln.technique IN ['union','blind']
RETURN ep, param, vuln,
  vuln.dbType AS backend

Endpoint-to-Vulnerability Mapping

The graph connects every discovered endpoint to its parameters, their types (string, URL, JSON, file), and the vulnerability agents that tested them. You see exactly what was tested, what was found, and what was clean.

Cross-Vulnerability Chain Detection

An open redirect alone might be low severity. An open redirect that chains with an OAuth callback to steal tokens is critical. Agents traverse the graph to find multi-step attack chains that isolated testing cannot detect.

Technology-Informed Prioritization

When fingerprinting identifies a specific framework version, the graph links it to known vulnerability patterns. Agents targeting those endpoints run framework-specific payloads first, increasing both speed and detection rate.

04 / WHY CANIMA

Beyond DAST: Agent-Driven Application Security

DAST scanners run predetermined checks against every parameter and call it done. Canima deploys specialized agents that understand vulnerability context, adapt their payloads to the injection point, and coordinate through a shared knowledge graph to find what automated scanners fundamentally cannot.

One Agent Per Vulnerability Class

The XSS agent is fine-tuned for XSS and nothing else. It understands HTML injection contexts, JavaScript execution sinks, DOM mutation patterns, and WAF bypass techniques. This domain specificity produces findings that generic scanning engines miss because they spread attention across every vulnerability type simultaneously.

Headless Browser for Modern Apps

Single-page applications, client-side routing, and JavaScript-rendered content are invisible to traditional scanners. Canima's spider agents use full headless browser automation, executing JavaScript, handling authentication flows, intercepting API calls, and capturing dynamically rendered endpoints that static crawlers cannot see.

Context-Aware Payload Generation

Generic scanners fire the same payload list at every input. Canima's agents analyze the injection context first (is this inside an HTML attribute, a JavaScript string, a JSON body, a SQL WHERE clause?) then generate payloads specifically crafted for that context, dramatically increasing both detection rate and accuracy.

Capability comparison: Canima versus other tools
Capability	Canima	Others
Dedicated agent per vulnerability class	Yes	No
Context-aware payload generation	Yes	No
Live knowledge graph correlation	Yes	No
Full SPA/headless browser support	Yes	No
GraphQL & WebSocket testing	Yes	No
Cross-vulnerability chain detection	Yes	No
Proof-of-concept for every finding	Yes	No
Scheduled recurring assessments	Yes	No

05 / GET STARTED

Ready to test your web applications?

Start your free 7-day demo to see how Canima goes deep into your applications with vulnerability-specific AI agents that find what scanners miss.

7-day access to demo environment
See a live web app assessment walkthrough
Explore vulnerability-specific agent coverage
No commitment required

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