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cs.CR2026
Model-as-a-Trojan: Self-Activating Covert DNS Exfiltration Baked Into the Weights of an LLM Agent
Barak Haryati, Shaked Zychlinski
Open-weight models are downloaded from public hubs and run inside agent harnesses that grant them tools, most powerfully, a shell, under the assumption that a sandbox contains what…
cs.CR2025
Broken-Token: Filtering Obfuscated Prompts by Counting Characters-Per-Token
Shaked Zychlinski, Yuval Kainan
Large Language Models (LLMs) are susceptible to jailbreak attacks where malicious prompts are disguised using ciphers and character-level encodings to bypass safety guardrails. Whi…
cs.CR2025
A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can See
Shaked Zychlinski
This paper introduces a novel attack vector that leverages website cloaking techniques to compromise autonomous web-browsing agents powered by Large Language Models (LLMs). As thes…