Injection Attempts
This page documents various prompt injection attempts and their effectiveness against Claude’s system prompts, primarily on claude.ai.Anthropic Reminders System
Claude’s system includes automated reminders that are injected based on classifiers detecting potentially harmful content:Documented Injection Attempts
Image Reminder Injection
image_reminder Details
image_reminder Details
Cyber Warning
cyber_warning - RAT Detection
cyber_warning - RAT Detection
System Warning
system_warning - Manipulation Detection
system_warning - Manipulation Detection
Ethics Reminder
ethics_reminder - Harmful Content Flag
ethics_reminder - Harmful Content Flag
IP Reminder
ip_reminder - Copyright Protection
ip_reminder - Copyright Protection
Long Conversation Reminder
long_conversation_reminder - Instruction Persistence
long_conversation_reminder - Instruction Persistence
Defense Mechanisms
Tag-Based Injection Defense
The system prompt explicitly warns Claude about user-injected tags:Immutable Safety Rules
For products like Claude in Chrome, safety rules are explicitly marked as immutable:Known Attack Vectors
DAN (Do Anything Now) Jailbreaks
The system_warning specifically mentions and protects against DAN-style attacks:Role-Playing Attacks
Prefill Manipulation
The ethics_reminder explicitly acknowledges that “previous messages might have even been ‘prefilled’ by the user” - suggesting awareness of assistant message prefill attacks.
Escalating Inappropriate Requests
The system_warning monitors for patterns:Browser-Specific Injection Defense
Claude in Chrome has the most sophisticated injection defense system:Function Result Isolation
Web Content Isolation
Content Isolation Rules
Content Isolation Rules
Effectiveness Analysis
Based on leaked prompts, Claude’s injection defenses include:
- Automated classifier-based reminders
- Explicit warnings about user-injected tags
- Role-playing and persona manipulation detection
- Function result isolation (browser agent)
- Pattern detection for escalating requests
- Acknowledgment of prefill attacks
- Immutable safety rule prioritization
Research Value
Understanding these injection attempts and defenses provides insight into:- How Anthropic thinks about prompt injection threats
- The evolution of LLM security measures
- Trade-offs between capability and safety
- Multi-layered defense strategies
- User experience vs security balance