WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents
WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents explores WebSentinel is a tool to detect and localize prompt injection attacks for web security, outperforming existing methods with open-source code and datasets.. Commercial viability score: 7/10 in Security AI.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisSilent Egress: When Implicit Prompt Injection Makes LLM Agents Leak Without a TraceViability: 4.0
- Builds On ThisMUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection AttacksViability: 5.0
- Builds On ThisAgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context PurificationViability: 6.0
- Builds On ThisLearning to Inject: Automated Prompt Injection via Reinforcement LearningViability: 6.0
- Builds On This