Lucene search
K
Catalog
Vendors
Products
Timeline
Vulnerabilities
Sources
Documentation
Blog
Glossary
FAQ
Brand assets
Assessment
Agents dashboard
Agent Scanning
API Scanning
Assessment API
Alerts
Email notifications
Webhook notifications
Alerts API
SBOM package analysis
API Reference
Support
Settings
Sign in

Enhancing Software Vulnerability Detection through Adaptive Test Input Generation Using Genetic Algorithm

🗓️ 07 Aug 2025 00:00:00Reported by Yanusha Mehendran, Yi Lu, Maolin TangType 
packetstormnews
 packetstormnews🔗 packetstorm.news👁 2 Views

Genetic algorithm with adaptive feedback evolves valid test inputs to improve vulnerability detection via crossover and guided exploration.

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation

Book a live demo
07 Aug 2025 00:00Current
7.2High risk
Vulners AI Score7.2
genetic algorithmadaptive learningtest input generationvulnerability detectioncrossover operatoradaptive feedbackcode coveragesoftware security
2