Towards the Detection of Inconsistencies in Public Security Vulnerability Reports
摘要 公共漏洞庫如公共漏洞和暴露（CVE）、國家漏洞數據庫（NVD）在促進漏洞披露和緩解方面取得了巨大的成功。雖然這些數據庫已經積累了大量數據，但人們對它們的信息質量和一致性越來越關注。本文中提出了一個自動化系統VIEM來檢測完全標準化的NVD數據庫與非結構化的CVE描述及其引用的漏洞報告之間的不一致信息，即聲明漏洞版本範圍過高或過低。 使用VIEM和過去20年裏的78,296個CVE ID和70
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相關文章
- 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. 轉：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