Internal monologues in reasoning LLMs create a new security flaw. Attackers can trigger excessively long reasoning chains, forcing models to overthink and slowing system response times to a crawl. This vulnerability targets the step-by-step processing used for complex math and coding. Developers must now balance deep reasoning with strict output constraints to prevent system crashes.