New arXiv Research Paper
arXiv ID: 2609.29775
Title: Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs
Authors: Lukáš Brůna, Robert Bridges, Adam Ek
Published: 2026-09-24T13:18:21Z
URL: https://arxiv.org/abs/2609.29775
Abstract (first 300 chars)
Large Language Models (LLMs) consume and produce a single sequence of text; hence, if text can be added to the beginning of the LLM's response, i.e., an output prefix, then all subsequent tokens will be conditioned on it. This output-prefix attack technique is a cheap black-box prompt injection. Pri…
Suggested OWASP Mapping
LLM01
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.
New arXiv Research Paper
arXiv ID: 2609.29775
Title: Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs
Authors: Lukáš Brůna, Robert Bridges, Adam Ek
Published: 2026-09-24T13:18:21Z
URL: https://arxiv.org/abs/2609.29775
Abstract (first 300 chars)
Suggested OWASP Mapping
LLM01
Suggested Action
Review this paper against the OWASP GenAI Crosswalk entries and update relevant mapping files if new attack patterns or mitigations are identified.