Gelişmiş Bug Bounty Teknikleri

Reverse-engineer obfuscated JavaScript bundles and source maps to extract hidden API endpoints, internal paths, and hardcoded secrets.

Correlate data from certificate transparency, passive DNS, and ASN records to discover non-obvious and overlooked corporate assets.

Perform automated and manual source code analysis on open-source targets to map attack surfaces and find pre-patch vulnerabilities.

Analyze mobile application traffic to uncover hidden APIs and data synchronization endpoints.

Discover undocumented API parameters through differential response analysis, automated fuzzing, and traffic comparison techniques.

Detect shadow APIs and deprecated endpoint versions through URL pattern analysis and historical data from internet archives.

Apply STRIDE spoofing analysis to modern authentication protocols like OAuth 2.0, OpenID Connect, and SAML.

Exploit OAuth 2.0 redirect_uri validation flaws for authorization code theft and account takeover.

Intercept OAuth 2.0 authorization codes via side-channels such as referrer leakage and browser history poisoning.

Exploit JWT signature bypasses via algorithm confusion (e.g., HS256/RS256 swap) and key injection through the `jwk` header.

Exploit JWT header parameter vulnerabilities, such as `kid` path traversal or SQL injection.

Exploit SAML protocol vulnerabilities, including signature wrapping and assertion rewriting, to bypass SSO.

Exploit multi-stage account recovery flaws through state manipulation and Host header poisoning.

Analyze creative real-world OAuth or JWT-based account takeover bounties (e.g., GitLab OAuth flow manipulation).

Apply STRIDE tampering analysis to server-side data processing and object serialization pipelines.

Develop a methodology for fingerprinting template engines to craft targeted Server-Side Template Injection (SSTI) payloads.

Exploit SSTI sandbox escapes in common web frameworks such as Jinja2, Twig, and Freemarker.

Perform second-order and out-of-band SQL injection in complex, multi-step application workflows.

Exploit insecure deserialization using gadget chains in Java (ysoserial) and PHP (phar:// stream wrapper).

Exploit Python insecure deserialization (pickle) in machine learning and data processing pipelines.

Exploit server-side prototype pollution in Node.js to achieve logical bypasses or remote code execution.

Analyze a creative real-world server-side bounty, such as the Shopify RCE via deserialization or GitHub Enterprise SQLi.

Apply STRIDE tampering analysis to client-side trust boundaries and browser security models.

Exploit DOM clobbering to bypass HTML sanitizers and manipulate client-side application logic.

Craft mutation XSS (mXSS) payloads that evade modern sanitizers like DOMPurify.

Exploit insecure `postMessage` handlers for cross-origin data theft and action execution.

Exploit client-side prototype pollution chains leading to DOM-based XSS or logic bypasses.

Perform CSS injection to exfiltrate sensitive data via attribute selectors and font-based techniques.

Analyze a creative real-world client-side exploitation bounty, such as the Google Search XSS via esoteric browser behavior.

Apply STRIDE information disclosure analysis to data flow paths and storage points.

Exploit web cache poisoning by manipulating unkeyed inputs to serve malicious responses to other users.

Exploit web cache deception by manipulating URL paths to trick caches into storing sensitive user-specific content.

Exploit advanced CORS misconfigurations beyond basic `*` wildcards for cross-origin data theft.

Exploit blind XXE using out-of-band (OAST) and error-based channels for data exfiltration.

Exploit path traversal and local file inclusion with advanced filter bypass techniques (e.g., null-byte, encoding).

Exploit timing side-channels for user enumeration, data inference, and secret extraction.

Apply STRIDE denial of service analysis to application processing and resource allocation.

Exploit Regular Expression Denial of Service (ReDoS) by crafting pathological input for vulnerable patterns.

Exploit GraphQL query complexity and depth for server-side resource exhaustion.

Exploit algorithmic complexity vulnerabilities such as hash collisions in data structures and sorting abuse.

Exploit advanced file processing and media parsing vulnerabilities (e.g., decompression bombs, image codec exploits) for resource exhaustion.

Apply STRIDE elevation of privilege analysis to role-based and attribute-based authorization models.

Exploit advanced IDOR patterns including UUID prediction, encoded references, and Hashed/Encrypted IDs.

Exploit subtle mass assignment vulnerabilities in modern frameworks via nested JSON objects and unsafe reflection.

Exploit race conditions (TOCTOU) for double-spending, coupon reuse, and parallel state manipulation.

Manipulate state machine transitions in multi-step workflows to bypass intended verification steps.

Exploit parameter tampering in payment flows to alter prices, quantities, or currencies.

Analyze creative real-world privilege escalation bounties (e.g., HackerOne signal manipulation, Shopify payment bypass).

Exploit blind Server-Side Request Forgery (SSRF) using out-of-band detection and response timing analysis.

Bypass SSRF protections using DNS rebinding, URL parser differentials, and IPv6 formatting tricks.

Exploit SSRF to pivot and access cloud metadata services (AWS IMDSv1/v2, GCP, Azure IMDS) for credential theft.

Chain SSRF with internal service exploitation (e.g., Redis, Memcached) for remote code execution.

Exploit GraphQL introspection and field suggestions for schema reconstruction and information gathering.

Exploit GraphQL authorization bypasses through nested queries, fragments, and batched mutations.

Exploit API versioning discrepancies and undocumented legacy endpoints for access control bypass.

Exploit WebSocket vulnerabilities, such as Cross-Site WebSocket Hijacking (CSWH) and message injection, for session takeover.

Model STRIDE threats for a cloud-native application, identifying infrastructure-level trust boundaries.

Exploit subdomain takeover via dangling DNS records (CNAME, A, NS) on various cloud services.

Exploit misconfigured cloud storage through advanced techniques like ACL manipulation and pre-signed URL abuse.

Exploit insecure GitHub Actions configurations (e.g., script injection in workflows, `pull_request_target`) to exfiltrate repository secrets.

Abuse self-hosted GitLab Runner configurations for container escape and code execution on the underlying host.

Exploit Kubernetes misconfigurations (e.g., exposed control plane, RBAC flaws) for initial access and cluster takeover.

Exploit serverless function vulnerabilities (e.g., event injection, over-permissioned IAM roles) for privilege escalation.

Analyze creative real-world cloud infrastructure bounties (e.g., Shopify cloud metadata leak, Azure subdomain takeover).

Develop a systematic framework for identifying chaining opportunities between low-severity findings to achieve critical impact.

Deconstruct high-impact bounty reports to identify key elements: compelling narrative, business impact articulation, and PoC structure.

Chain an open redirect with an OAuth misconfiguration for a full account takeover.

Chain stored XSS with a CSRF bypass and privileged API calls for silent privilege escalation.

Craft clear, reproducible Proof-of-Concept demonstrations for complex vulnerability chains.

Synthesize a personal, STRIDE-informed methodology for systematic and creative vulnerability discovery on new targets.

Deconstruct the Proxylogon exploit chain as a case study in multi-stage server-side vulnerability chaining.