Unverified50% confidenceOpinionExact time
How It Spread is positioned as a reference library and reference tool rather than a prediction tool, and cannot directly predict the next hit.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/25/2026
First Seen
Valid until: 1/23/2027
Sources
Related Entities
Related Claims
UnverifiedThese benchmark data come from the project team's self-built benchmark, the attack vector coverage is limited, and it has not yet been independently reproduced by a third party.62% similarVerifiedPrompt injection attacks do not need to exploit software vulnerabilities; they exploit the model's difficulty in distinguishing instructions from data.61% similarUnverifiedMainstream large models do not publicly disclose the specific algorithms they use to select citation sources when generating answers, which constitutes a systemic uncertainty risk in the GEO space.61% similarUnverifiedThe essence of prompt injection attacks is exploiting the structural flaw by which LLMs cannot distinguish between instructions and data at the architectural level.61% similarUnverifiedThe Scope layer restricts the tools, data sources, and external services an agent can call before LLM inference, effectively defending against prompt injection attacks.60% similar
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