Question 1

Why should academic networks avoid blindly combining multiple threat blocklists?

Accepted Answer

Blind aggregation increases false positives without guaranteeing better security coverage. Research shows that 78% of enterprises deploy security software, yet few scrutinize curation transparency, leading to operational friction in diverse academic environments.

Question 2

How much overlap exists between major commercial and open source blocklists?

Accepted Answer

Only 665 entries occur simultaneously across all three analyzed threat sources. This minimal intersection proves that varying scope leads to disagreements on threat definitions, requiring strategic selection rather than simple aggregation.

Question 3

What specific data volume indicates significant duplication between open threat feeds?

Accepted Answer

Approximately 55,451 domain names appear in both the TIF and Prigent Malware lists. Such high redundancy suggests that combining these specific sources offers diminishing returns for filtering unique malicious activity.

Question 4

How does PDNS differ from deeper web filtering proxies for schools?

Accepted Answer

PDNS acts as a recursive resolver intercepting requests before connections establish. While 67% of organizations use intrusion detection, PDNS provides a distinct, lighter layer specifically designed to block malicious domain resolution instantly.

Question 5

What happens when a PDNS service detects a request for a blocked domain?

Accepted Answer

The resolver returns an NXDOMAIN response or redirects traffic to a sinkhole address. This immediate refusal prevents malware deployment success rates from rising, effectively stopping connections to known malicious infrastructure.

Threat on Wirez

Protective DNS blocklists fail schools often