INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/18/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications arXiv:2606.18673v1 Announce Type: new Abstract: Large language model (LLM)-based applications rely on system prompts to encode core logic and developer-defined constraints, making these prompts important intellectual property. However, system prompts are vulnerable to prompt leaking attacks. Although prior work has shown such attacks in controlled settings, their prevalence, causes, and …
https://arxiv.org/abs/2606.18673
sha256:fec5742c5b301295d2ff8ebeb3f051bb19e9eb246e12b13b8ef1dbc9636265e8
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
MITRE IDs referenced in text and present in local technique table.
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