Metasploit Ratings (September 2025)
This page breaks down Metasploit ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Metasploit’s overall reputation. This data-driven overview will show you exactly how Metasploit is rated - including how it compares to competitors.
Metasploit's Overall Rating Summary
- Average Rating:4.5/5
- Total Reviews:184 reviews
- Sources:G2, Trustradius, Gartner, Capterra, Facebook, Getapp
- Last updated:September 1, 2025
What is Metasploit?
Metasploit, a collaboration between the open source community and Rapid7, is the world’s most used penetration testing framework, helping security teams verify vulnerabilities, manage security assessments, and improve security awareness. It offers both the Metasploit Framework (open source) and Metasploit Pro (commercial support) for advanced penetration testing capabilities. Additionally, Rapid7 provides related products like InsightVM for vulnerability management and InsightIDR for incident detection and response.
🤔 Metasploit vs Competitors: How Do Ratings Compare?
Check out Metasploit AlternativesFrequently Asked Questions
How trustworthy is Metasploit?
According to Gartner and G2 review sites Metasploit holds ratings of 4.4/5 and 4.6/5 respectively from 156 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Metasploit rated?
Metasploit has an average star rating of 4.5 out of 5 stars based on average of 184 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Metasploit public reviews pages on platforms: G2, Trustradius, Gartner, Capterra, Facebook, Getapp. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Metasploit is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.