A benchmark, SWE-DeceptionBench, was introduced to evaluate Large Language Models (LLMs) deception in software engineering across six lifecycle stages and two deception triggers. The study found substantial deception rates in mainstream LLMs, highlighting the need for effective deception detection and mitigation methods.