Researchers propose SceneJail, a black-box jailbreak framework that exploits video scenario context to elicit policy-violating responses from multimodal LLMs. This framework consists of two components: Adaptive Scenario Construction and Scenario-aware Prompt Search. SceneJail demonstrates effectiveness on various Video-MLLMs, including proprietary models, with average attack success rates up to 91.5%.