TotalAppSec
Web Malware Detection
De-risk your entire modern application ecosystem with deep learning-powered web malware detection
Identify and flag both known and zero-day malware within milliseconds using deep learning
Measure
100%
Detection rate against widespread malware
Communicate
0%
False positive for known and unknown malware
Eliminate
100%
Protection against zero-day malware attacks
Secure your web assets with advanced web malware detection
Qualys Web Malware Detection delivers multi-layered protection against malware threats targeting modern websites and web applications. Using deep learning for advanced detection methods—heuristic, behavioral, and reputation-based analysis— Qualys Web Malware Detection measures, communicates, and eliminates malware risks, even zero-day attacks, with 99% accuracy. Seamlessly integrated into Qualys TotalAppSec, it prevents website blacklisting, protects your online users, and mitigates potential data breaches.
Deep Learning-based Malware Detection
Combines deep learning with heuristic, behavioral, reputation-based, and anti-virus analysis to detect hidden malware, including zero-day and polymorphic attacks. The multi-layered approach ensures accurate identification and risk assessment of malware embedded in web applications, web pages, or third-party scripts.
Actionable Insights for Decision-Making
Faster Remediation for Risk Reduction
With Qualys WAS, we gain the peace of mind that our websites are effectively managed and maintained on our behalf from a security perspective.
William Atkins
Information Security Manager, British Heart Foundation
Employs advanced methods, including heuristic analysis to identify malicious code patterns, behavioral analysis to detect abnormal activities through simulated visits, reputation analysis to flag risky domains against public threat lists, and anti-virus analysis to identify malware using traditional signatures.
Contextual Analysis
Identifies malware and assesses the likelihood of infections based on patterns in website behavior and known risky domains. With context-aware analysis, security teams can better prioritize actions by understanding why and how it poses a risk to their specific environment.
Deep Learning Models
Generates neural fingerprints and uses Google Webrisk, TrendMicro to identify malware, including zero-day threats, with 99% accuracy. It overcomes limitations of hash-based methods to protect against unauthorized access, data theft, and operational disruptions.
Real-time Threat Intelligence
Leverages real-time threat intelligence to keep up with evolving malware signatures and emerging threats. It adapts to the dynamic nature of malware, ensuring detection of morphing threats, especially zero-day and polymorphic malware, where static signatures fall short.
Interactive, Centralized Reporting
Offers a unified dashboard for tracking malware trends, interactive reporting with drill-down insights, and secure PDF distribution. Centralized management enables role-based access, asset tagging, and streamlined remediation directly from the platform for efficient threat control.
Integration with Qualys TotalAppSec
Integrated with Qualys TotalAppSec, it correlates malware risks with vulnerability and asset data. SecOps teams can respond well by linking malware events with endpoint vulnerabilities, network security gaps & misconfigurations that may lead to malware risks.
Powered by the Enterprise TruRisk™ Platform
The Enterprise TruRisk Platform provides you with a unified view of your entire cyber risk posture so you can efficiently aggregate and measure all Qualys & non-Qualys risk factors in a unified view, communicate cyber risk with context to your business, and go beyond patching to eliminate the risk that threatens the business in any area of your attack surface.
