Threat intelligence feeds provide real-time updates on indicators of compromise, such as malicious IPs and URLs.
Security systems can then ingest these IOCs to identify and block potential threats, which essentially grants organizations immunity to the attacks identified by the IOCs.
Commercial threat intelligence feeds provide curated threat data collected and processed by security vendors, which is often more specific and reliable due to proprietary methods and unique sources.
The feeds enrich indicators with links to the corresponding sandbox analysis sessions, enabling security professionals to directly observe threat behavior within a controlled environment.
Open source threat intelligence feeds offer a vast amount of community-sourced threat data, potentially exceeding commercial offerings, as accuracy might be lower due to the inherent limitations of relying on potentially unreliable contributor reporting.
Uses both commercial and open-source threat intelligence feeds to maximize threat coverage, whereas commercial feeds offer more relevant and timely threat data, while open-source feeds broaden overall coverage.
To avoid alert fatigue from excessive and potentially false positives, implement filtering based on source reputation, indicator age, and contextual details to ensure security teams prioritize and respond effectively to genuine threats.
Threat intelligence feeds deliver data in a standardized format called STIX, which ensures consistent data exchange across different vendors' security systems.
A STIX object typically includes details like the indicator type, its value, timestamps for creation and modification, references to external analysis, and threat labels.
According to ANY.RUN, it simplifies the integration of TI feeds into Security Information and Event Management or Threat Intelligence Platform systems, requiring only an API key for setup.
Leverage Security Information and Event Management and Threat Intelligence Platform to maximize the value of Threat Intelligence feeds.
TIP systems: Contextualize indicators and build them into threat objects to get a more holistic view of the attack, enabling better prioritization and decision-making.
Configure ingestion frequency based on data accuracy: prioritize real-time updates for high-fidelity commercial feeds, and schedule periodic updates for broader but noisier open-source feeds.
Within the TIP, enrich indicators with additional context like Tactics, Techniques, and Procedures and malware scores to enhance threat prioritization and response decisions, which optimizes resource allocation by focusing on high-confidence indicators while maintaining broader threat visibility.
After enriching data from Threat Intelligence feeds, SIEM correlation rules are configured to analyze this data alongside logs from various sources.
The rules prioritize high-confidence indicators and look for combinations of suspicious elements like IP addresses, domains, and file hashes linked to known threats, which enable automatic responses based on threat severity, such as blocking malicious IPs or domains.
In their interactive malware sandbox, ANY.RUN gathers threat intelligence from 14,000 daily tasks carried out by a community of 300,000+ researchers.
The real-time data it provides to IOCs makes it a top tool for malware analysts contributing to the Threat Intelligence Database.
The sandbox of ANY.RUN seamlessly links with the Threat Intelligence Lookup.
With advanced features, 300,000 professionals can investigate incidents and streamline threat analysis.
This Cyber News was published on cybersecuritynews.com. Publication date: Sat, 18 May 2024 08:05:05 +0000