Antivirus and Threat Intelligence

Cyber threats continue to evolve rapidly, making malware detection and analysis more important than ever. Attackers constantly create new techniques to bypass traditional defenses, forcing organizations and security professionals to adopt smarter security strategies.

• Antivirus software focuses on identifying and stopping malicious programs before they damage a system. It continuously monitors files, applications, memory and system activities to detect threats.
• Threat intelligence, on the other hand, focuses on collecting and analyzing information about cyber threats.

Techniques of Antivirus Software Detects Malware

Modern antivirus solutions use multiple detection techniques rather than relying on a single method.

1. Signature-Based Detection

Signature detection is the traditional antivirus method. Every malware sample has identifiable characteristics called signatures. Antivirus vendors maintain massive databases of known malicious fingerprints. When a file is scanned:

• The antivirus compares it against stored signatures.
• The file may be blocked, quarantined or removed.

2. Heuristic Analysis

Heuristic analysis focuses on identifying suspicious patterns rather than exact matches. Heuristics improve detection of previously unseen threats but can occasionally produce false positives.

• Suspicious API usage.
• Hidden execution behavior.
• Code obfuscation & Privilege escalation attempts.

3. Behavior-Based Detection

Behavior monitoring watches programs during execution. Rather than analyzing static code only, the antivirus observes runtime activity such as: File modifications, Registry changes, PowerShell execution, Network connections, Credential access attempts.

• Zero-day threats.
• Fileless malware.

Role of Threat Intelligence in Cybersecurity

Threat intelligence transforms raw security data into actionable knowledge. Instead of only identifying malicious files, threat intelligence explains:

• what the threat is, how it operates, who may be behind it, what indicators should be monitored.
• Predict attacks, prioritize risks, improve detection rules, accelerate investigations, strengthen incident respond.

Types of Threat Intelligence

Threat intelligence is commonly divided into four categories.

• Strategic Intelligence: High-level analysis of the threat landscape, emerging risks and adversary trends to support executive decision-making and cybersecurity strategy.
• Tactical Intelligence: Focuses on adversary TTPs (Tactics, Techniques and Procedures) to strengthen security controls and defensive capabilities.
• Operational Intelligence: Provides intelligence on active threat campaigns, attacker infrastructure, targets and objectives to enable proactive incident response.
• Technical Intelligence: Consists of machine-readable IOCs (Indicators of Compromise) such as IP addresses, domains, URLs, file hashes and malware signatures used for detection, threat hunting and SIEM correlation.

Step-by-Step Workflow for Suspicious File Analysis

Analyzing suspicious files requires a structured process. Following a repeatable workflow improves accuracy and reduces guesswork.

Step 1: Collect the Artifact

Begin with the suspicious object. This could be: executable file, URL, attachment, file hash, script, downloaded payload. Maintain evidence integrity during collection.

Step 2: Generate the File Hash

Before uploading a file, compute its cryptographic hash. On Linux: sha256sum malware.exe. The generated SHA-256 value acts as a unique file fingerprint. Analysts commonly use hashes for: threat intelligence lookups, IOC searches, incident reports, blocklists, malware correlation.

Step 3: Perform Initial Reputation Checks

Check whether the file is already known. If a file is widely recognized as malicious, deeper analysis becomes faster. Use malware intelligence platforms to determine: detection ratio, previous submissions, malware classification, reputation history.

Step 4: Conduct Behavioral Analysis

Behavioral analysis examines what happens when the file executes inside an isolated environment. Key observations include: spawned processes. registry modifications, persistence mechanisms, dropped files, network traffic, command-and-control communication.

Step 5: Correlate Findings

Correlation increases confidence in conclusions. Combine multiple evidence sources: antivirus detections, sandbox reports, network indicators, behavioral observations, threat intelligence matches.

Step 6: Document and Respond

• Record: File details, observed behavior, indicators of compromise, detection results, recommended actions
• Possible responses include: Quarantine, blocking indicators, alerting teams, escalation, incident containment.

Using VirusTotal, Hybrid Analysis and Any.Run

Security analysts frequently use online analysis platforms to investigate suspicious samples.

VirusTotal

VirusTotal allows users to analyze Files, URLs, Domains, IP addresses, Hashes. Users can upload a sample or search using a SHA-256 hash. Virus Total aggregates results from multiple antivirus engines and provides: Detection ratio, Engine verdicts, Metadata, Relationships, Behaviour reports, Community feedback.

Hybrid Analysis

Hybrid Analysis focuses on sandbox-based behavioural inspection. A submitted file is executed in an isolated environment where analysts can observe: Spawned processes, Created files, Network requests, Registry modifications, Malware behaviour patterns.

Any.Run

Any.Run is an interactive malware analysis platform. Its report-only capability allows safe observation without local execution. Unlike traditional static reports, it enables analysts to inspect execution activity through detailed behavioural reporting.

Analysing a Suspicious File Using VirusTotal and Any.Run

This beginner-friendly lab demonstrates how antivirus and threat intelligence tools are used to investigate a suspicious file safely. Lab Requirements: Kali Linux or Linux VM (VirtualBox/VMware), Internet connection, Browser access, A sample file for analysis (use a harmless test file - do not download real malware)

Step 1: Create a Safe Test File

Open the terminal and create a simple file:

echo "This is a security analysis test file" > sample.txt

Generate its SHA-256 hash: The generated value is the file's cryptographic fingerprint.

sha256sum sample.txt

Output:

Step 2: Check the Hash in VirusTotal

Open VirusTotal. Paste the generated SHA-256 hash into the search bar. Observe the results. Possible outcomes: No matches found file not previously submitted. Detection results available review engine verdicts. Review these sections:

32428d25df5487eda5bd53528e4b5821d229b91e0a29b2f4443b25b4886476a7

• Detection ratio & Detection names.
• File details & Community comments.
• Behavior/Relations panel (if available).

Step 3: Upload the File to VirusTotal

Upload sample.txt Observe File size, Hash values, Metadata, Engine analysis results. Since this is a harmless text file, most engines should report clean/no detection. This demonstrates how antivirus platforms classify non-malicious files.

Step 4: Review Behavioral Analysis Using Any.Run (Report-Only)

Open Any.Run Instead of executing malware yourself, explore an existing public report. Search for a sample report and examine: Process Tree, Network Activity, Dropped Files, Registry Changes, MITRE ATT&CK Techniques.

Step 5: Interpret the Results

Based on your observations, answer:

• Observation: Detection Ratio (Safe/Suspicious).
• File Type: Text / Executable / Script.
• Behavior Observed: Yes / No.
• Final Assessment: Benign / Malicious.

Best Practices for Safe Malware Investigation

Safe analysis practices are non-negotiable. Always follow these guidelines:

• Never execute suspicious files on production systems.
• Use isolated virtual machines or sandboxes.
• Validate findings through multiple sources.
• Record investigation evidence.