We define accuracy by exploitability, not just detection. A finding is only accurate if it can be proven. Our capabilities go beyond version matching; they simulate attacks, execute payloads, and capture concrete evidence (like screenshots or shell output) to confirm that a vulnerability is real and exploitable in your specific environment.

In unbiased benchmarks against industry leaders (like Qualys, Nessus, and OpenVAS), our Network Vulnerability Scanner ranked #1, achieving the lowest false positive rate across 128 test environments. We prioritize validation over volume to ensure you get actionable evidence, not just noise, a level of precision that led one of our clients to describe our result quality as "accuracy in the detection of vulnerabilities like never before".

We use active validation techniques. For example, our Website Vulnerability Scanner uses out-of-band interactions and payload replays to confirm injection flaws. If we report a SQLi or XSS, it’s because we successfully executed it and captured the HTTP response or screenshot that proves it.

Yes. Sniper is an auto-exploiter that safely simulates real-world attacks on identified CVEs. It doesn't just check for a vulnerable version; it attempts to execute a custom payload developed in-house to prove exploitability . We prioritize developing reliable exploitation modules for high-impact vulnerabilities in widely used software, including Adobe Commerce/Magento or Atlassian Confluence.

Yes. Accuracy drops significantly without access. Our authenticated web scans allow you to test complex login flows. For applications with MFA/2FA, you can simply supply a valid Session Cookie or Header to the scanner to bypass the manual challenge. This lets our Website Scanner reach deep application logic and protected endpoints, ensuring we don't miss critical vulnerabilities hidden behind logins.

Yes, but not as a buzzword. We use a proprietary ML Classifier to analyze HTTP responses during web app scanning. Our team trained it specifically to distinguish between a legitimate vulnerability response and a generic error page or WAF block, significantly reducing the noise and false positives common in DAST tools.

We believe a finding without proof is just a claim. Our reports include extracted evidence: screenshots of executed XSS, dumped database tables for SQLi, command shell output for RCE, and full HTTP request/response logs. This allows developers to reproduce the issue immediately without asking "is this real?"

We consistently outperform them in head-to-head benchmarks by prioritizing validation over volume.

• Brute-forcing: our Password Auditor identified valid credentials in 84% of real-world scenarios, compared to just 15% for Hydra. One reason for this is that we optimized this tool to handle timeouts and network jitter that cause open-source tools to fail.

• Network scanning: in unbiased tests, our Network Vulnerability Scanner ranked #1 in detection accuracy against OpenVAS (and commercial giants like Nessus), achieving the lowest false positive rate across 128 environments.

Web app scanning: unlike standard open-source DAST tools which often flood you with noise, ourWebsite Scanner uses a proprietary Machine Learning classifier to distinguish real vulnerabilities from generic errors, significantly reducing false positives.

Absolutely. We build reproducibility into the product. Every finding comes with the exact payload and request data used to trigger it. We also provide tools like the HTTP Request Logger and Resend features, so you can manually replay the attack and verify the fix yourself in seconds.