Summary
ECLIPSE is a novel prompt injection attack that exploits long-horizon planning in LLM agents by distributing malicious intent across multiple execution stages, making detection difficult. It targets agents like Codex and Claude Code that perform complex tasks via repeated tool calls.
AI-assisted summary based on the listed source.
What happened
Recently, large language model (LLM) agents, such as Codex, Claude Code, and OpenClaw, have become capable of planning and executing long-horizon tasks through repeated tool calls. This capability also creates new opportunities for prompt injection. Existing attacks either place the malicious objective in one...
Why it matters
As LLM agents gain the ability to execute extended multi-step tasks, new vulnerabilities like ECLIPSE pose significant security risks by enabling stealthy manipulation of their behavior. Understanding such attacks is crucial to developing robust defenses for AI systems with long-term planning capab...
Signal Intelligence
Signal Strength 95%
Technical label SOURCE-BACKED
Public Interest 36
Category SECURITY
Reader Depth TECHNICAL
Event context 1 source
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 28
Novelty Interest Score 94
Consequence Score 30
Curiosity Score 16
Shareability Score 50