While Twitter remains one of the most popular social media networks within the information security community, threat actors continue to abuse the platform to create, share, and spread malicious contents. In this study, we focus on whether Twitter- and vulnerability-related features can help predict vulnerabilities known to be actively exploited. Using a sample of 6004 tweets, results show that Twitter features (tweets and quote tweets) that combine the benefits of both content creation and sharing can predict active exploitation of vulnerabilities. Furthermore, findings show that certain technical and vulnerability-related features are also capable of predicting active exploitations.

中文翻译：

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Twitter 上恶意内容的传播及其对安全的影响


尽管 Twitter 仍然是信息安全社区中最受欢迎的社交媒体网络之一，但威胁行为者继续滥用该平台来创建、共享和传播恶意内容。在这项研究中，我们关注 Twitter 和漏洞相关的功能是否可以帮助预测已知被积极利用的漏洞。使用 6004 条推文样本，结果表明，结合了内容创建和共享优势的 Twitter 功能（推文和引用推文）可以预测漏洞的主动利用。此外，研究结果表明，某些技术和漏洞相关的功能也能够预测主动利用。