# exploit-dev
29 articlestagged with “exploit-dev”
Exploit Development Assessment
Assessment on custom exploit development, payload engineering, tool creation, and automation frameworks.
Adversarial Dataset Generator
Creating tools that generate diverse adversarial datasets for benchmarking LLM safety, including semantic variations and encoding permutations.
AI Exploit Development
Adversarial suffix generation, gradient-free optimization, WAF-evading injection payloads, and fuzzing frameworks for AI systems.
Attack Automation Framework
Building end-to-end attack automation frameworks that orchestrate reconnaissance, payload generation, execution, and result analysis.
Attack Replay System Development
Building an attack replay system for regression testing defenses against known attack patterns.
Automated Vulnerability Discovery
Building automated tools for discovering novel vulnerabilities in LLM applications.
Red Teaming Automation
Frameworks and tools for automating AI red teaming at scale, including CART pipelines, jailbreak fuzzing, regression testing, and continuous monitoring.
Behavioral Fingerprinting Tool
Building tools that fingerprint model behavior through systematic probing to identify specific models, versions, and configurations behind APIs.
Building a Jailbreak Fuzzer
Build a mutation-based fuzzer for generating and testing jailbreak prompts at scale.
Collaborative Exploit Platform
Designing platforms for collaborative AI red team operations with shared findings, payload libraries, and coordinated testing capabilities.
Coverage Tracking Systems
Implementing test coverage tracking for AI security assessments to ensure comprehensive evaluation across attack vectors and model behaviors.
Custom Attack Orchestrator Development
Build a custom attack orchestration framework for multi-technique red team campaigns.
Building Custom Red Team Tools
Guide to building custom AI red teaming tools, including target-specific harnesses, result analysis pipelines, and integration with existing security workflows.
Defense Evaluation Toolkit
Building a toolkit for systematically evaluating the effectiveness of LLM defenses.
Exploit Chain Builder
Building tools that automatically discover and chain multiple vulnerabilities into complete exploitation paths for complex LLM systems.
Fuzzing LLM Applications
Applying fuzzing methodologies to LLM applications including grammar-based fuzzing, mutation-based fuzzing, and coverage-guided approaches.
Harness Development Guide
Building reusable test harnesses for LLM vulnerability assessment including target abstraction, payload delivery, and result collection.
Test Harness Integration Patterns
Patterns for integrating multiple attack tools into a unified testing harness.
AI Exploit Development Overview
An introduction to developing exploits and tooling for AI red teaming, covering the unique challenges of building reliable attacks against probabilistic systems.
LLM Debug Proxy Development
Building intercepting proxy tools for LLM API traffic that enable inspection, modification, and replay of model interactions during testing.
Multi-Model Test Orchestrator
Orchestrating parallel security testing across multiple models and providers to identify cross-model vulnerabilities and transferable attacks.
Crafting Adversarial Payloads
Systematic methodology for creating effective prompt injection payloads, including template design, optimization techniques, and multi-technique combination strategies.
Payload Generator Architecture
Designing and implementing automated payload generation systems that produce diverse and effective adversarial inputs for LLM testing.
Payload Mutation Engine Development
Develop mutation engines for evolving prompt injection payloads through generation and selection.
Red Team Reporting Automation
Automating report generation from red team testing data and findings.
Regression Testing for AI Security
Implementing automated regression testing for AI security properties that integrates into CI/CD pipelines and catches safety regressions.
Reporting Tool Development
Building automated reporting tools that transform raw test results into professional assessment reports with reproducible findings.
Result Scoring Systems
Designing automated scoring systems for evaluating attack success, including semantic classifiers, rule-based detectors, and LLM-as-judge approaches.
Token Optimizer Techniques
Implementing token-level optimization algorithms for discovering adversarial inputs, including GCG, AutoDAN, and custom gradient-based approaches.