312-85 Exam Dumps : Certified Threat Intelligence Analyst (CTIA)

Fast-Flux DNS is a technique used by attackers to hide phishing and malware distribution sites behind an ever-changing network of compromised hosts acting as proxies. It involves rapidly changing the association of domain names with multiple IP addresses, making the detection and shutdown of malicious sites more difficult. This technique contrasts with DNS zone transfers, which involve the replication of DNS data across DNS servers, or Dynamic DNS, which typically involves the automatic updating of DNS records for dynamic IP addresses, but not necessarily for malicious purposes. DNS interrogation involves querying DNS servers to retrieve information about domain names, but it does not involve hiding malicious content. Fast-Flux DNS specifically refers to the rapid changes in DNS records to obfuscate the source of the malicious activity, aligning with the scenario described.References:

• SANS Institute InfoSec Reading Room
• ICANN (Internet Corporation for Assigned Names and Numbers) Security and Stability Advisory Committee

ABC cyber-security company, which has implemented automation for tasks such as data enrichment and indicator aggregation and has joined various communities to increase knowledge about emerging threats, is demonstrating characteristics of a Level 3 maturity in the threat intelligence maturity model. At this level, organizations have a formal Cyber Threat Intelligence (CTI) program in place, with processes and tools implemented to collect, analyze, and integrate threat intelligence into their security operations. Although they may still be reactive in detecting and preventing threats, the existence of structured CTI capabilities indicates a more developed stage of threat intelligence maturity.References:

• "Building a Threat Intelligence Program," by Recorded Future
• "The Threat Intelligence Handbook," by Chris Pace, Cybersecurity Evangelist at Recorded Future

In the context of bulk data collection for threat intelligence, data is often initially collected in an unstructured form from multiple sources and in various formats. This unstructured data includes information from blogs, news articles, threat reports, social media, and other sources that do not follow a specific structure or format. The subsequent processing of this data involves organizing, structuring, and analyzing it to extract actionable threat intelligence. This phase is crucial for turning vast amounts of disparate data into coherent, useful insights for cybersecurity purposes.References:

• "The Role of Unstructured Data in Cyber Threat Intelligence," by Jason Trost, Anomali
• "Turning Unstructured Data into Cyber Threat Intelligence," by Giorgio Mosca, IEEE Xplore