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Security Scan Report: ufijqqhugo-tdtlis2afx.edgeone.app

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Submitted: May 21, 2026, 10:13:36 AMCompleted: May 21, 2026, 10:15:15 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is ufijqqhugo-tdtlis2afx.edgeone.app and was registered NaN years ago.

Submitted URL: https://ufijqqhugo-tdtlis2afx.edgeone.app/13793-amberlynn-reid.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows low risk: no malicious forms or indicators, but the subdomain is newly created and low‑ranked, so proceed cautiously.

Risk Factors
Unknown subdomain creation date
Low domain ranking
Safety Factors
Absence of credential or payment collection forms
No malicious indicators from IDS, YARA, or threat intel
Page type is an article (og:type=article) with no phishing intent
Domain age information unavailable

Details

Page Title

Amberlynn Reid

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(84%)

Domain Information

Domain 'ufijqqhugo-tdtlis2afx.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ufijqqhugo-tdtlis2afx'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ufijqqhugo-tdtlis2afx.edgeone.app/13793-amberlynn-reid.html

Page Load Overview

11.75s
Total Load Time
20
HTTP Requests
13
Domains
25 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,311 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
84%
adult content
76%
entertainment media
74%
blog personal website
49%
documentation technical
45%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.253.132United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
208--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171620927A944345CB7210295B481B2BEBD358002F3668D7D76E5F3EA87C63EB287658C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GAhnYf8zX+NbyD2EJKJSBJ/cH6hmGcxomWavjYYrWag4MDw:FAhnz+96JUemGc5WavUYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15395:cIoEj0hqqQOF7gLwwAGMBwmCwEIFLMgEgBo0AE0BlEEm80mpqhwaYYYRAIASBOgS1RgAE21EIuAUKB7QVBAEKJwVaKEOCAwy

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:00000000002000ff
Perceptual Hash:8229bd4a9d0e9f1e
Difference Hash:f1c1e9c1c1c140c1
Wavelet Hash:18003c3c7c7c3cff
Color Hash:#7f79d2

Other Hashes

Crop Resistant:f1c1e9c1c1c140c1,f1c1e9c1c1c1c1c1

Scan History

Scan history not available

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