Vulnerability management faces challenges in both agent-based and network scan-based approaches.
Here is a list of challenges in vulnerability management. And it will be updated from time-to-time.
These are the potential challenges in vulnerability management, categorized into agent-based and network scan-based approaches:
Agent-based#
- Agent deployment: Complexities in deploying agents across diverse environments pose challenges.
- Agent management: Ensuring continuous coverage and updates for agents across the network presents logistical hurdles.
- Agent support and maintenance: Manual intervention is required for agent troubleshooting or restarts in case of failures.
- Unresponsive agent: Requires manual login to server for restart.
- Incompatibility: Compatibility conflicts with existing software or security solutions may arise.
- Increased attack surface: Agents themselves can be vulnerable. Risks of agent evasion or tampering by malicious entities warrant attention.
- Performance overhead: Agents may impose resource overhead and performance impacts on endpoints.
- Scalability challenges: Managing and updating agents across large networks.
- Privacy and compliancy: Compliance considerations regarding data privacy and monitoring emerge with agent-based solutions.
- Missing out of network vulnerabiltiy: Most of the agents will not assess network-based and misconfiguration vulnerability, such as default password, weak cryptography in SSL or SSH.
Network Scan#
- Limited visibility: Firewalls and network segmentation can restrict scan reach.
- False positives: Inaccurate identification of vulnerabilities (like backport) can consume resources for investigating on non-existent vulnerabilities.
- Network congestion: Scans can overload network resources and may disrupt scans or compromise data integrity.
- Incomplete credential scan: May miss vulnerabilities requiring privileged access or hinder comprehenive scans due to insufficient permissions.
General#
- Incomplete asset inventory: Inaccurate asset inventories can result in missed endpoints.
- Prioritization: Ineffective prioritization may delay critical patching.