论文标题
聊天机器人在僵尸网络世界中
Chatbots in a Botnet World
论文作者
论文摘要
问答格式提供了一个新型的实验平台，用于研究网络安全问题。与以前的聊天机器人不同，OpenAI的最新聊天机器人支持对复杂编码问题的高级理解。该研究表明，十三项编码任务通常符合MITER ATT＆CK框架中的阶段，范围从获得防御逃避的资格访问。随着成功的成功，实验提示生成了钥匙记录员，逻辑炸弹，混淆蠕虫和付款实现的勒索软件的示例。经验结果说明了支持广泛功能增长的案例，包括自我复制和自我修饰，逃避和对复杂网络安全目标的战略理解。 CHATGPT作为仅语言模型的一个令人惊讶的功能集中在其产生编码方法的能力上，以产生混淆或嵌入可执行的编程步骤或链接的图像。
Question-and-answer formats provide a novel experimental platform for investigating cybersecurity questions. Unlike previous chatbots, the latest ChatGPT model from OpenAI supports an advanced understanding of complex coding questions. The research demonstrates thirteen coding tasks that generally qualify as stages in the MITRE ATT&CK framework, ranging from credential access to defense evasion. With varying success, the experimental prompts generate examples of keyloggers, logic bombs, obfuscated worms, and payment-fulfilled ransomware. The empirical results illustrate cases that support the broad gain of functionality, including self-replication and self-modification, evasion, and strategic understanding of complex cybersecurity goals. One surprising feature of ChatGPT as a language-only model centers on its ability to spawn coding approaches that yield images that obfuscate or embed executable programming steps or links.
