Malware Detection & Analysis
Understanding the impact of malicious code is essential when conducting cybercrime investigations, whether it is the discovery of botnets, trojans, anti-forensics, mobile malware, or a host of other malicious applications.
With our tools, organizations can identify malware infections, prevent data breaches, and mitigate financial and reputational risks before they spread across the network.
👇 Contact us for your Malware Detection & Analysis Solution Requirements. (Demo, PoC, Licensing, and other inquiries)
The Financial and Reputation Impact
Key Statistics of Malware Attacks
References:
- ET CISO. 26 April 2025. Verizon’s 2025 DBIR: 97% of APAC breaches driven by system intrusion, social engineering, Web App attacks. (Link)
- Reuters. 13 July 2023. Crypto ransom attacks rise in first half of 2023, Chainalysis says. (Link)
- Sentio Insurance Broker. 7 May 2025. Cybercrime to Cost the World $10.5 Trillion by 2025. (Link)
- ThaiCERT by NCSA Thailand. 9 June 2025. Cyber Threat Intelligence. (Link)
Our Tools search for and maintain a malware repository for the detected programs
Type of Programs We Detect
Combat Malware with the variety of detection techniques
Key Features
Behavioral Monitoring
Continuous observation of system activities allows for the detection of unusual behaviors indicative of malware infections in real-time. This proactive approach helps in identifying threats before they escalate.
Signature-Based Detection
This method utilizes a comprehensive database of known malware signatures to identify and respond to threats quickly. While effective for known strains, it is complemented by other detection techniques to ensure thorough coverage.
Sandboxing
An isolated environment where suspicious files can be executed and analyzed without risking the integrity of the broader network. This technique enables security teams to analyze malware behavior in a controlled environment, providing valuable insights into its potential impact.
Anomaly Detection
Utilizes AI to develop a model of normal operations and detects deviations, allowing for the identification of novel threats that may not have signatures yet.
Static Analysis
Involves analyzing a suspicious or malicious executable without running it, providing insights into how the malware functions and potential indicators of compromise (IoCs).
Honeypots
Sets up decoy systems designed to attract malware, allowing security professionals to study the malware’s behavior and develop defenses against it.
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Improved Network Access Controls
Protect Confidential Information
Prevent Legal Repercussions and Reputational Damage
Cost Savings against Data Breach Costs
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