test-cve-2016-1000027

test-cve-2016-1000027 validation of the exploitability of a CVE...

How Pentera Turns AI Security Workflows into Validation Engines

AI security agents are starting to influence real security decisions. They summarize findings, prioritize remediation, recommend next steps, and help teams move faster. But most still rely on fragmented risk signals: scanner output, severity scores, threat intelligence, configuration findings, an...

VIPER-MCP: Detecting and Exploiting Taint-Style Vulnerabilities in Model Context Protocol Servers

Model Context Protocol MCP has emerged as a standard interface for connecting LLM agents to external tools. Because MCP servers expose privileged operations such as shell execution, network access, and file-system manipulation to agent-driven invocation, implementation flaws in tool handlers can...

Benefits of Breach and Attack Simulation in Vulnerability Management

Vulnerability management teams face an overwhelming challenge: tens of thousands of CVEs published annually, limited remediation capacity, and no reliable way to separate genuine threats from background noise. Traditional approaches rely on CVSS scores and scanner output, but these methods lack t...