# system-prompt
27 articlestagged with “system-prompt”
Skill Verification: Prompt Injection (Assessment)
Timed skill verification lab: extract a system prompt from a defended AI system within 15 minutes using prompt injection techniques.
January 2026: System Prompt Extraction Challenge
Extract system prompts from five increasingly defended chatbots, progressing from unprotected to heavily hardened configurations.
Patterns for Hardening System Prompts
Practical patterns and techniques for hardening LLM system prompts against injection, extraction, and manipulation attacks, including structural defenses, instruction hierarchy, delimiter strategies, and defense-in-depth approaches.
System Prompt Hardening Patterns
Design patterns for creating injection-resistant system prompts with defense-in-depth prompt architecture.
Lab: Prompt Leaking Basics
Learn to extract system prompts from chatbots using common leaking techniques including direct requests, indirect elicitation, and format manipulation.
Lab: System Prompt Enumeration Techniques
Practice systematic approaches to enumerating hidden system prompt content through varied probing strategies.
System Prompt Extraction Fundamentals
Learn to extract hidden system prompts from LLM applications using direct and indirect techniques.
Lab: System Prompt Extraction
Hands-on techniques for extracting hidden system prompts from LLM-powered applications using direct asking, role-play, instruction replay, and other methods.
Lab: System Prompt Override
Explore techniques to override system-level instructions with user-level inputs, testing how models prioritize conflicting directives across different prompt architectures.
Lab: System Prompt Reconstruction
Use various techniques to systematically extract and reconstruct the full system prompt of an LLM application, combining direct, indirect, and incremental extraction methods.
System Prompt Reconstruction from Clues
Piece together a hidden system prompt by collecting partial information from multiple probe techniques.
System Prompt Extraction via Error Injection
Trigger specific error conditions that cause the model to inadvertently reveal system prompt contents.
Context Heist: System Prompt Extraction Championship
Extract system prompts from 10 progressively harder LLM applications using diverse techniques.
Prompt Archaeology: Deep System Prompt Recovery
Recover fragments of a deeply hidden, multi-layer system prompt using various extraction techniques.
Token Probability System Prompt Reconstruction
Reconstruct complete system prompts using token-by-token probability analysis through API access.
Lab: System Prompt Reconstruction (Intermediate Lab)
Reconstruct full system prompts through iterative partial extraction and cross-referencing multiple leakage vectors.
System Prompt Extraction via Token Probabilities
Exploit token probability APIs to reconstruct hidden system prompts character by character.
Instruction Hierarchy Attacks
Exploiting the priority ordering between system, user, and assistant messages to override safety controls, manipulate instruction precedence, and escalate privilege through message role confusion.
System Prompt Theft Techniques
Comprehensive techniques for extracting hidden system prompts from production LLM applications, from simple direct requests to sophisticated indirect methods.
System Prompt Extraction
Techniques for extracting hidden system prompts from AI applications, revealing safety rules, tool definitions, behavioral constraints, and sensitive configuration.
System Prompt Extraction Techniques
Catalog of system prompt extraction methods against LLM-powered applications: direct attacks, indirect techniques, multi-turn strategies, and defensive evasion.
Prompt Leaking Step by Step
Systematic approaches to extract system prompts from LLM applications, covering direct elicitation, indirect inference, differential analysis, and output-based reconstruction.
System Prompt Override
Techniques to override, replace, or neutralize LLM system prompts through user-level injection, analyzing how system prompt authority can be undermined.
System Prompt Protection Techniques
Implement multiple layers of system prompt protection against extraction, override, and leakage attacks.
System Prompt Protection Layers
Implement multi-layer system prompt protection including injection-resistant formatting and runtime validation.
Chatbot Red Team Engagement
Step-by-step walkthrough for a complete chatbot red team assessment: scoping, system prompt extraction, content filter bypass, PII leakage testing, multi-turn manipulation, and professional reporting.
Reconnaissance Workflow
Systematic reconnaissance workflow for AI red team engagements: system prompt extraction, model identification, capability mapping, API enumeration, and documenting the attack surface.