System and method for multi-source vulnerability management
By unifying multi-source vulnerability information and processing cloud-specific contextual data, the dilution and noise problems in vulnerability management in the cloud environment are solved, enabling efficient and accurate vulnerability identification and remediation, and providing cloud-specific vulnerability evaluation and automated remediation measures.
Patent Information
- Application Number
- CN202080051631.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2019-07-19
- Filing Date
- 2020-07-08
- Publication Date
- 2025-12-30
- Estimated Expiration
- 2040-07-08
AI Technical Summary
In existing cloud environments, vulnerability management systems struggle to quickly and effectively identify and remediate vulnerabilities in diverse and rapidly changing cloud-based infrastructures. Furthermore, traditional methods lack cloud-specific contextual information, resulting in diluted vulnerability information and significant noise, making it difficult to provide specific and accurate vulnerability assessments.
By collecting vulnerability information from multiple sources, including the National Vulnerability Database (NVD), CentOS Errata, Security Advisories (CESA), and Amazon Linux Advisories (ALAS), and combining it with contextual data from cloud providers, a cloud-specific, unified vulnerability view is generated. This provides specific vulnerability assessments related to the user's system and enables real-time monitoring and remediation through software agents and processors.
It reduces noise and dilution of vulnerability information in cloud environments, provides more accurate and specific vulnerability assessments, supports automated remediation measures, reduces false positive rates, and improves the efficiency and accuracy of vulnerability management.