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Comparison

Resensor vs Detectify

Detectify built its name on web application security testing, deep DAST powered by an ethical-hacker community, with surface monitoring layered on top. Resensor is external attack surface management with evidence-based exposure validation, covering not just web apps but exposed cloud data, AI services, email spoofability, and brand abuse, ranked by real-world exploitability. Here is an honest comparison, including where each one leads.

Validation built on authoritative exploit intelligence
CISA KEV FIRST EPSS NVD CVE Certificate Transparency Nuclei Have I Been Pwned RDAP / WHOIS
The short answer

Both watch your internet-facing surface, but from different centers of gravity. Detectify is strongest at deep web application testing, including authenticated DAST and attack payloads sourced from an ethical-hacker community. Resensor is strongest at the broad outside-in view: it discovers your whole external surface, then validates and ranks what an attacker is most likely to exploit with CISA KEV and FIRST EPSS, and it adds coverage a DAST tool does not, open cloud storage and datastores, exposed AI services, typosquatted domains, and third-party vendor ratings. Many teams run a DAST tool for application depth and Resensor for the attacker's full external view.

Side by side

How they compare

Dimension Detectify Resensor
Center of gravityWeb application security testing (DAST) plus surface monitoringExternal attack surface management plus evidence-based exposure validation
Authenticated web-app DASTYes, a core strengthNot offered; outside-in and unauthenticated
Crowdsourced attack payloadsYes, via an ethical-hacker communityNo; curated detections plus CISA KEV and CVE templates
Exploit prioritizationSeverity-basedCISA KEV and FIRST EPSS, ranked by real-world exploitability
Exposed cloud dataPartialOpen S3, GCS and Azure buckets; anonymous Redis, Mongo and Elasticsearch; secrets in client JavaScript
AI surface discoveryNot a focusExposed model servers, vector databases, MCP, and notebooks
Brand and typosquatNot a focusLook-alike domain detection plus takedown packets
Third-party vendor ratingsNot a focusLookout vendor monitoring
Validation evidenceVerified findingsReachability re-check, screenshots, and non-destructive proof
DeliverySelf-serve SaaSSelf-serve SaaS, weekly rescans on every paid tier

Comparison reflects each product's publicly described focus as of June 2026. Check each vendor's site for current capabilities.

An honest read

Where each one leads

Where Detectify leads

  • Deep web application testing, including authenticated DAST against logged-in flows
  • Attack payloads sourced from an ethical-hacker community
  • A long track record and recognized brand in web application security
  • The stronger pick if application-layer vulnerability depth is your main goal

Where Resensor leads

  • The full outside-in attack surface, not just web applications
  • Exploit-aware prioritization with CISA KEV and FIRST EPSS
  • Exposed cloud data, AI services, email spoofability, and brand abuse in one place
  • Evidence behind every finding, plus third-party vendor ratings and MSP rollup
An honest note on scope

What Resensor does not do

To be precise: Resensor scans from the outside, the way an attacker without credentials would. It does not log into your applications to run authenticated DAST, and it does not fire intrusive exploit payloads. If deep, authenticated web application testing is your primary goal, a DAST-first tool like Detectify is purpose-built for it. Resensor's job is the attacker's external view across your whole surface, validated and ranked by real-world exploitability. The two are complementary, and many teams run both.

Where Resensor fits

The attacker's full external view, prioritized

If you are choosing a single tool to answer what does an attacker see, and what should we fix first across everything you expose, not just your web apps, that is Resensor: continuous external discovery, then evidence-based validation with CISA KEV and FIRST EPSS, plus coverage of cloud data exposure, exposed AI services, email spoofability across SPF, DKIM and DMARC, and typosquatted look-alike domains. If your priority is authenticated, application-layer vulnerability depth, pair it with a DAST tool. See our full pricing, learn how validation extends attack surface management, or compare EASM with vulnerability scanning.

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FAQ

Common questions

Is Resensor a replacement for Detectify?

They overlap on surface monitoring but lead in different places. Detectify centers on web application security testing, including authenticated DAST powered by an ethical-hacker community. Resensor centers on external attack surface management and evidence-based exposure validation across more than web apps. Many teams run a DAST tool for application depth and Resensor for the attacker's full external view, prioritized by real-world exploitability.

Does Resensor do authenticated web application scanning like Detectify?

No. Resensor scans from the outside without credentials, the way an external attacker would. It does not log into your applications to run authenticated DAST. If deep, authenticated application-layer testing is your main goal, a DAST-first tool like Detectify is purpose-built for it. Resensor focuses on the external attacker view across your whole surface and on prioritizing what is most exploitable.

What does Resensor cover that a DAST tool does not?

Open cloud storage buckets and anonymous datastores, exposed AI services, secrets leaked in client-side JavaScript, email spoofability across SPF, DKIM and DMARC, typosquatted look-alike domains with takedown packets, and third-party vendor ratings. Each is ranked by real-world exploitability using CISA KEV and FIRST EPSS, with the evidence shown behind every finding.

How does Resensor decide what to fix first?

It validates exploit likelihood from evidence: CISA KEV, FIRST EPSS, breach data, and the exposure signals it observes from the outside, with the evidence shown behind every finding. It does not fire intrusive exploit payloads or run breach-and-attack simulation, so scans stay safe to run against production.