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Security Scan Report: wup-16c9d93d.eu.v2.we-stats.com

Submitted: Mar 28, 2026, 3:52:14 AMCompleted: Mar 28, 2026, 3:53:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is wup-16c9d93d.eu.v2.we-stats.com and was registered NaN years ago.

Submitted URL: https://wup-16c9d93d.eu.v2.we-stats.com

The Cisco Umbrella rank of the primary domain is #9,840 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

adult content

(46%)

Domain Information

Within the commercial generic top-level domain (.com), 'wup-16c9d93d.eu.v2.we-stats.com' is registered with subdomain 'wup-16c9d93d.eu.v2'. Count 8 characters in 'we-stats' with two vowels and five consonants; bonus characters include 1 hyphen. Breaking it apart gives 2 words: we, stats. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wup-16c9d93d.eu.v2.we-stats.com

Page Load Overview

0.21s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:141 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content46% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
46%
documentation technical
43%
technology software
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.71.8.211Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106C0C072C420050E1132EBECCDC2B10C8FC4B30DE0314C01B5C0E0A0CAD7A0FC403284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL2lMFjJUKYS8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96llMZJTYNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:81ff3fbbff9146ba14a5b51c06691dd2

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

Average Hash:00ffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#2d7fd2

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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