Security Scan Report: wup-52d69192.us.v2.we-stats.com

Submitted: Mar 27, 2026, 9:51:06 PMCompleted: Mar 27, 2026, 9:52:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is wup-52d69192.us.v2.we-stats.com and was registered NaN years ago.

Submitted URL: https://wup-52d69192.us.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 404 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

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'wup-52d69192.us.v2.we-stats.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'wup-52d69192.us.v2'. The registrable portion 'we-stats' spans 8 characters with two vowels and 5 consonants, notching 1 hyphen. Breaking it apart gives two words: we, stats. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wup-52d69192.us.v2.we-stats.com

Page Load Overview

5.57s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:22 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24.249.171.212Des Moines, Iowa, United States
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:#2d7a86

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data