Summary
This website contacted 127 IPs in 7 countries across 42 domains to perform 202 HTTP transactions. The main domain is att.com and was registered NaN years ago.
Submitted URL: https://randstadusa-v.de/track.php
Effective URL: https://www.att.com/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Redirect points to legitimate AT&T site; no security concerns identified.
Safety Factors
Details
Page Title
AT&T Official Site | Our Best Wireless & Internet Service
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain name 'randstadusa-v.de' uses the German country-code top-level domain (.de) without a subdomain. The core label 'randstadusa-v' covers 13 characters split between 4 vowels and 8 consonants; it also includes 1 hyphen. Tokenizing the label suggests 4 words: rand, stad, usa, v. Median word length is 3.5 characters. 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 |
|---|---|---|---|
| 76 | 3.33.220.150 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 1 | 18.245.86.46 | United States | AS16509AMAZON-02 |
| 1 | 23.40.108.128 | Ballerup Municipality, Capital Region, Denmark | AS16625AKAMAI-AS |
| 1 | 23.50.131.151 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 3.174.46.39 | United States | AS16509AMAZON-02 |
| 1 | 23.53.1.151 | Marseille, Provence-Alpes-Côte d'Azur, France | AS20940Akamai International B.V. |
| 1 | 151.115.61.93 | Warsaw, Mazovia, Poland | AS12876Scaleway S.a.s. |
| 1 | 142.250.186.162 | United States | AS15169GOOGLE |
| 1 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 2.16.30.246 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 202 | 127 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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