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Search over 250,000 Common Vulnerabilities and Exposures. Inspect CVSS v3.1 / v4.0 metrics, check CISA KEV exploitation status, assess EPSS weaponization probabilities, and download vendor remediation guides.
$ wesecurex-cve --id CVE-2024-6387
[TITLE] OpenSSH Server (sshd) Remote Code Execution ('regreSSHion')
[CVSS v3.1] 8.1 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H)
[EPSS Score] 94.2% (Top 1% weaponization likelihood in next 30 days)
[CISA KEV] Added to CISA Known Exploited Vulnerabilities Catalog
[PATCH] Upgrade OpenSSH to version 9.8p1 or newer; set LoginGraceTime 0 as temporary workaround
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Frequently Asked Questions
What is the difference between CVSS and EPSS scores?
CVSS (Common Vulnerability Scoring System) measures the theoretical severity and technical impact of a vulnerability (rated 0.0 to 10.0). EPSS (Exploit Prediction Scoring System) measures the empirical probability that a vulnerability will actually be exploited in the wild over the next 30 days (0% to 100%). Security teams prioritize flaws with both high CVSS and high EPSS.
How often is the WeSecureX vulnerability database updated?
WeSecureX synchronizes continuously with the NIST National Vulnerability Database (NVD), CISA Known Exploited Vulnerabilities (KEV) Catalog, MITRE CVE list, and vendor advisories (Ubuntu, Debian, Red Hat, GitHub Advisory Database) in near real-time.
What is CISA KEV and why does it mandate faster patching?
The CISA Known Exploited Vulnerabilities (KEV) catalog lists CVEs that have confirmed, active weaponized exploitation by cybercriminals or state-sponsored APT groups. Federal agencies and compliant organizations are legally required to patch KEV flaws within strict timelines (often 14 to 21 days).
How does WeSecureX automate CVE detection across web assets?
WeSecureX DAST & Surface Recon automatically detects software libraries, CMS platforms (WordPress, Drupal), web frameworks (Next.js, Laravel, Django), and server daemons (Nginx, Apache, OpenSSH), cross-referencing version strings against known CVEs with zero false-positive prioritization.