The document discusses key aspects of threat hunting in cybersecurity, highlighting the importance of proactive threat identification and the skills required for professionals in this field. It covers essential data sources, methodologies, tools, and challenges associated with threat hunting, as well as the role of frameworks like the MITRE ATT&CK. Additionally, it distinguishes between indicators of compromise and indicators of attack, emphasizing best practices for securing cloud environments.

1. TOP
THREAT HUNTING
Interview Questions

2. Introduction
As cyber threats continue to increase at an accelerated rate, the importance of
threat hunting in cybersecurity has grown significantly. Professionals in this field
must proactively identify and mitigate potential threats before they can
compromise an organization's digital infrastructure. As a result, there is a high
demand for skilled Threat Hunters, leading to a competitive job market. To excel in
an interview for a threat hunting profile, it is essential to possess both a
comprehensive understanding of cybersecurity principles and the ability to think
critically and respond quickly.

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1. Which data sources are crucial for effective
threat hunting?
Data sources for effective threat hunting include:
Log Files: System, application, security, and network logs.
Network Traffic Data: NetFlow, DNS logs, and packet captures.
Endpoint Data: Process listings, registry settings, and file system information.
Threat Intelligence Feeds: Indicators of Compromise (IoCs), tactics,
techniques, and procedures of known malicious actors.
2. How would you prioritize and investigate potential
security incidents for investigation?
Here are some steps to prioritize and investigate potential security incidents:
Evaluate security incidents based on severity, potential impact, and likelihood of
being a legitimate threat
Utilize a triage process to categorize incidents
Investigate by analyzing logs, network traffic, and endpoint data
Use threat intelligence to contextualize and understand the nature of the incident
3. What are some open-source threat hunting tools?
Open-source threat hunting tools:
ELK Stack (Elasticsearch, Logstash, Kibana): Used for log management, data
visualization, and analysis of diverse data sources to detect anomalies
Sysmon: A Windows system service that monitors and logs system activity,
detecting malicious behavior and forensic analysis

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Zeek (formerly Bro): Network security monitoring tool that captures and
analyzes network packets, helping in threat detection and traffic analysis
Snort: An open-source NIDS (Network Intrusion Detection System) capable of
detecting and preventing various network threats
TheHive: A collaborative security incident response platform that integrates
with various security tools and helps manage and analyze security incidents
4. What capabilities do SOAR (Security Orchestration,
Automation, and Response) platforms perform?
Capabilities of SOAR platforms:
Integration of various security tools
Automated response actions to security incidents
Case management and workflow automation
Real-time security event processing and analysis
5. What are some common challenges faced in threat
hunting, and how do you overcome them?
Common challenges in threat hunting and solutions:
High volume of data: Use of big data analytics tools
Skill shortage: Training and hiring skilled personnel
Advanced persistent threats: Continuous monitoring and adaptive defense
strategies

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6. Explain various types of Indicators of Compromise
(IOCs).
Types of IOCs:
IP Addresses, Domain Names, and URLs: Identifies malicious servers, phishing
sites, and malware distribution points.
File Hashes: Detects known malware by its unique hash (MD5, SHA-1,
SHA-256).
Suspicious Email Addresses or Patterns: Identifies phishing and spear-phishing
campaigns through known malicious senders and email patterns.
Anomalous Network Traffic Patterns: Detects unusual data flows, uncommon
port usage, and unexpected outbound connections.
7. Describe various threat hunting methodologies.
Threat hunting methodologies:
Hypothesis-driven: Starting with an assumption based on intelligence or
previous incidents
Indicator-based: Looking for known indicators of compromise
Behavioral-based: Identifying anomalous behavior that might indicate a threat
Analytics-driven: Leveraging data analytics, machine learning, or behavioral
analysis to detect anomalies or patterns
Adversary TTP-based: Focuses on known Tactics, Techniques, and Procedures
(TTPs) used by threat actors
Threat Intelligence-driven: Uses threat intelligence feeds and information to
proactively search for IoCs

6. 8. What are the unique challenges of threat hunting in
cloud environments?
Unique challenges in cloud environments:
Lack of visibility into cloud infrastructure
Shared responsibility model
Dynamic and scalable nature of cloud services
Integration with existing security tools
9. How is forensic evidence gathered and analyzed for
threat hunting?
Collecting and analyzing forensic evidence:
Use of digital forensic tools to collect data from systems and networks
Analysis of log files, disk images, and memory dumps
Application of threat intelligence to identify attack patterns
10. Discuss key considerations for containing and
remediating security incidents.
Key considerations for containing and remediating incidents:
Quick identification and isolation of affected systems.
Eradication of the threat from the environment.
Patching vulnerabilities and strengthening security controls.
Post-incident analysis to prevent future occurrences.
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7. 11. Explain the Cyber Kill Chain concept and its relevance
in threat hunting.
The Cyber Kill Chain Model serves as a roadmap for hackers, outlining the
various stages of a cyber attack - from gathering intelligence to achieving their
ultimate goal. This framework enables Security Analysts to comprehend the
techniques used by attackers and predict, identify, and disrupt possible threats
through targeted monitoring at each stage. During these stages, defenders
may proactively look for indications of malicious activity and take action before
the attack progresses further, reinforcing their defenses and averting
successful breaches.
12. What are the tools and technologies used in
threat hunting?
Common tools and technologies in threat hunting:
SIEM (Security Information and Event Management) Systems: Aggregates
and analyzes log data from different sources to identify potential threats.
EDR (Endpoint Detection and Response) Solutions: Monitors and responds to
suspicious activities on endpoints like computers, servers, and mobile devices.
Network Analysis Tools: Monitors and analyzes network traffic for anomalies
or suspicious behavior.
Cloud Security Tools: Monitors and secures cloud-based environments and
services against potential threats and vulnerabilities.
Forensic Tools: Investigates and analyzes incidents to understand the extent
and impact of security breaches.
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8. Threat Intelligence Platforms: Provide information on current threats, attack
patterns, and Indicators of Compromise (IoCs).
Machine Learning and AI-driven Analytics: Detects patterns and anomalies
that might indicate threats or security breaches.
13. Define Advanced Persistent Threats (APTs) and their
significance in threat hunting.
Advanced Persistent Threats (APTs) represent an insidious type of cyber
attack, characterized by their intricate design, longevity, and frequently
state-sponsored or organized group. These threats harm an organization's
security considerably due to their cunning nature, sophistication, and capacity
to inflict significant threats if left unchecked.
14. How can you identify a potential APT in a network?
Identifying APTs in a network:
Monitor for unusual data flow patterns or sudden increase in outbound traffic.
Detect deviations in user activity or abnormal system processes.
Look for prolonged unauthorized access, repetitive patterns, or unexpected
modifications that have gone unnoticed.
Identify suspicious IPs, domains, or signatures associated with known APTs to
recognized APT actors.
Utilize threat intelligence for known APT tactics and indicators.
Monitor targeted and complex email-based attacks that APT groups often use
to gain initial entry into a network.
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9. 15. Explain the MITRE ATT&CK framework's role in
threat hunting.
The MITRE ATT&CK framework is a thorough repository of adversarial Tactics,
Techniques, and Procedures (TTPs) that facilitates the understanding and
classification of attacker actions throughout different phases of an attack life
cycle. This structure enables Threat Hunters to connect observable behaviors
with predefined TTPs, thereby improving detection capabilities. By adhering to
the ATT&CK framework, analysts can anticipate and detect potential threats
more effectively, fortifying defenses and response strategies against emerging
cyber risks.
16. Describe deception technology and its role in
identifying threats.
Deception technology involves deploying fake targets, decoys, and traps
within a computer network to trick and divert potential attackers. These
deceiving components imitate legitimate assets, applications, or data,
attracting unwary adversaries to engage with them. When an attacker
interacts with these decoys, they unintentionally expose themselves and their
techniques, providing security personnel with monitoring, analysis, and
understanding opportunities. Organizations can promptly identify threats,
collect valuable information, and strengthen their defenses against future
cyber attacks through this proactive methodology.
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17. What are the best practices for protecting and
overseeing cloud workloads?
Best practices for securing cloud workloads:
Implement strong access control and identity management
Encrypt data in transit and at rest
Regularly audit and monitor cloud resources
Implement robust backup and disaster recovery procedures
18. How can cloud-specific tools and services be used to
detect threats?
Cloud-specific tools and services offer unique capabilities for threat detection
in cloud environments.
Cloud-native Security Services: Uses cloud-native security services like AWS
GuardDuty, Azure Security Center, and Google Cloud Security Command Center
for threat detection, log analysis, and continuous monitoring.
Cloud Security Posture Management (CSPM): Monitors cloud configurations,
flagging misconfigurations or vulnerabilities that could be exploited by attackers.
Cloud Access Security Brokers (CASB): Controls and monitors data access,
providing visibility into cloud usage and potential threats, enforces security
policies, and detects anomalous user activities.
Logging and Monitoring Services: Leverages cloud provider logs and monitoring
tools for real-time analysis of events and anomalies.
API Security Tools: Protects cloud environments by monitoring and securing
APIs for any suspicious activities or unauthorized access attempts.

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19. Explain the differences between Indicators of
Compromise (IoCs) and Indicators of Attack (IoAs).
Indicators of Compromise (IoCs) and Indicators of Attack (IoAs) serve
distinct roles in threat detection and response:
Indicators of Compromise (IoCs): IoCs are specific forensic artifacts or
evidence that provide concrete indicators of a potential security breach or
ongoing threat activity. It includes known malicious IP addresses, unique file
hashes, recognized domain names, or abnormal behavior patterns within an
organization's network.
Indicators of Attack (IoAs): IoAs refer to observable patterns or sequences of
events that occur during a live cyber attack. These are proactive markers
signifying possible malicious activities in real-time, providing insights into the
Tactics, Techniques, or Procedures (TTPs) used by attackers. By analyzing
these patterns, security teams can gain a deeper understanding of how threat
actors operate, including their strategies for privilege escalation, lateral
movement, or data exfiltration.
20. How do you distinguish between false alarms and
actual threats?
Assess Alarm Against Normal Network Behavior: Compare the event to
historical data to identify deviations from expected patterns.
Correlate Alerts Across Multiple Sources: Verify the alert by checking against
other data sources to avoid conflicting indicators.

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Cross-Reference with Threat Intelligence: Check the alarm against external
intelligence feeds to see if it matches known malicious behaviors.
Conduct a Detailed Manual Investigation: Examine all relevant details
thoroughly to confirm if the alarm indicates a genuine threat.

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