Vulners Scanner

A tool for identifying and managing vulnerabilities across large fleets of servers using a vulnerability database and efficient scanning mechanisms.

Multi-Cloud Open Source Self Hosted + Cloud Options
Category Vulnerability Management
Last Commit 1 year ago
This page updated a month ago
Pricing Details Free to use with optional premium features.
Target Audience System administrators, security professionals, DevOps teams, and organizations managing large server fleets.

The Vulners Scanner manages identifying and managing vulnerabilities across large fleets of servers by leveraging a comprehensive vulnerability database and efficient scanning mechanisms.

Technically, the scanner integrates with the Vulners.com API, which houses a vast database of CVEs, exploits, and other vulnerability intelligence. For Linux and Windows servers, the scanner can be deployed via an agent-based approach, where the agent collects package version information and sends it to the Vulners API for analysis. This process involves querying the installed packages using commands like dpkg-query for Debian-based systems or rpm -qa for RPM-based systems, and then matching these versions against the vulnerability database.

Operationally, the scanner is designed for scalability, capable of scanning a fleet of 1000 servers in under 100 milliseconds. However, this efficiency comes with the need for proper agent installation and configuration on each server. Additionally, the scanner's effectiveness relies on the accuracy and up-to-date status of the Vulners database, which is continuously updated with the latest vulnerability information and exploits.

From a technical standpoint, the scanner provides detailed metrics such as CVSS, EPSS, Vulners AI Score, and CWE, along with information on whether the vulnerabilities are exploited in the wild. This data is delivered in a normalized and correlated machine-readable format, facilitating automated integration into existing security workflows. However, the scalability of the solution may be limited by the bandwidth and processing power required to handle large volumes of data, particularly in multi-server environments.

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