Traditional CVE and NVD sources remain fundamental, but gaps in coverage and delays in assignment leave organizations exposed, especially for vulnerabilities disclosed via GitHub advisories or commercial databases like VulnDB.
Two key takeaways:
1) Commercial and open-source channels (e.g., VulnDB, Exploit DB, GitHub Security Advisories, OSV) now surface many critical flaws missed by CVE;
2) Integration is non-trivial—teams must correlate data across disparate formats and identifiers, ideally via APIs and orchestration platforms. While automation helps, human expertise is essential for triage and risk assessment.
How are you solving issues that arise from using these fragmented sources at scale?
Traditional CVE and NVD sources remain fundamental, but gaps in coverage and delays in assignment leave organizations exposed, especially for vulnerabilities disclosed via GitHub advisories or commercial databases like VulnDB.
Two key takeaways: 1) Commercial and open-source channels (e.g., VulnDB, Exploit DB, GitHub Security Advisories, OSV) now surface many critical flaws missed by CVE; 2) Integration is non-trivial—teams must correlate data across disparate formats and identifiers, ideally via APIs and orchestration platforms. While automation helps, human expertise is essential for triage and risk assessment.
How are you solving issues that arise from using these fragmented sources at scale?