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Description

BeEF stands for The Browser Exploitation Framework, serving as a tool for penetration testing that specifically targets web browsers. With the rising threats posed by web-based attacks on clients, including those on mobile devices, BeEF enables penetration testers to evaluate the security status of a target by utilizing client-side attack methods. In contrast to other security frameworks, BeEF goes beyond inspecting the fortified network perimeter and client systems, focusing instead on the vulnerabilities that can be exploited through the web browser, which is often seen as a single entry point. By hooking into one or more web browsers, BeEF creates a base for executing targeted command modules and launching additional attacks from within the browser environment. The BeEF project is actively maintained on GitHub, where users can track issues and access its repository. For those interested in obtaining a non-read-only copy or seeking further details, GitHub serves as the primary resource. Additionally, this tool is a valuable asset for security professionals aiming to enhance their understanding of web application threats.

Description

Strobes is an AI-powered exposure management platform that helps organizations identify, validate, prioritize, and fix security risks across their digital environment. The platform brings together exposure assessment, attack surface management, application security posture management, risk-based vulnerability management, adversarial validation, AI pentesting, and expert-led penetration testing. Instead of relying only on CVSS scores or isolated scanner findings, Strobes uses AI agents to evaluate vulnerabilities based on exploitability, asset criticality, exposure paths, compensating controls, and business risk. The platform ingests findings from more than 100 tools, removes noise, correlates duplicate issues, and sends the most important actions to the right teams through existing workflows. Security teams can connect Strobes with tools such as Snyk, Burp Suite, Checkmarx, GitHub, AWS, SonarQube, Jira, Slack, PagerDuty, and Splunk. Its human-in-the-loop approach lets teams define priorities while AI agents handle repetitive triage, validation, routing, and verification tasks. Strobes also supports continuous threat exposure management by helping teams scope assets, discover exposures, prioritize risks, validate attack paths, and mobilize remediation. The platform gives executives and security leaders clearer reporting on risk trends, remediation velocity, asset criticality, and audit readiness. Strobes helps security teams reduce false positives, improve mean time to remediate, save analyst time, and focus on verified exposures that create real business risk.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

BeEF

Website

beefproject.com

Vendor Details

Company Name

Strobes Security

Founded

2019

Country

United States

Website

strobes.co

Product Features

Product Features

Application Security

Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation

Vulnerability Management

Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning

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