Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is surveys.dpdhl.com and was registered NaN years ago.
Submitted URL: https://surveys.dpdhl.com/DGF-NPA-en/
The Cisco Umbrella rank of the primary domain is #165,388 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 78%
Low risk survey page; likely legitimate with no phishing or malware indicators.
Risk Factors
Safety Factors
Details
Page Title
Survalyzer - Professional survey
Scan Type
public
Language
English
Category
government public service
(25%)Domain Information
Within the commercial generic top-level domain (.com), 'surveys.dpdhl.com' is registered, featuring subdomain 'surveys'. Its registrable label 'dpdhl' stretches across 5 characters with zero vowels and 5 consonants. Word splitting yields two words: dp, dhl. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 13.93.25.17 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 10 | 150.171.109.34 | United States | AS8075Microsoft Corporation |
| 20 | 2 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data