Towards the Detection of Inconsistencies in Public Security Vulnerability Reports
摘要 公共漏洞库如公共漏洞和暴露（CVE）、国家漏洞数据库（NVD）在促进漏洞披露和缓解方面取得了巨大的成功。虽然这些数据库已经积累了大量数据，但人们对它们的信息质量和一致性越来越关注。本文中提出了一个自动化系统VIEM来检测完全标准化的NVD数据库与非结构化的CVE描述及其引用的漏洞报告之间的不一致信息，即声明漏洞版本范围过高或过低。 使用VIEM和过去20年里的78,296个CVE ID和70
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相关文章
- 1. 15.Machine-Learning Supported Vulnerability Detection in Source Code
- 2. On the Security of Machine Leanring in Malware C&C Detection: A Survey
- 3. The Definitive Security Data Science and Machine Learning Guide
- 4. Towards the Model-Driven Engineering of Security Requirements for Embedded System
- 5. The Importance of Built-In Cloud Monitoring
- 6. 转：Awesome Vulnerability Research
- 7. On the Automatic Generation of Medical Imaging Reports
- 8. 4.Automated Vulnerability Detection in Source Code Using Minimum Intermediate RepresentationLearning
- 9. the app referencesnon-public selectors in payload
- 10. Towards Understanding the Geometry of Knowledge Graph Embeddings理解