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Security Scan Report: longhornloansitus-205btt2vtg.edgeone.app

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Submitted: May 22, 2026, 6:24:50 PMCompleted: May 22, 2026, 6:26:33 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 8 HTTP transactions. The main domain is longhornloansitus-205btt2vtg.edgeone.app and was registered NaN years ago.

Submitted URL: https://longhornloansitus-205btt2vtg.edgeone.app/10915-13-fascinating-facts-about-grigor-dimitrov.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk site with no malicious indicators; likely benign article content.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking (outside top 100K)
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors
Page marked as an article (og:type="article") – no impersonation intent
No forms or credential collection mechanisms
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

13 Fascinating Facts About Grigor Dimitrov

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(71%)

Domain Information

You're looking at domain 'longhornloansitus-205btt2vtg.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'longhornloansitus-205btt2vtg'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Splitting it apart reveals two 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://longhornloansitus-205btt2vtg.edgeone.app/10915-13-fascinating-facts-about-grigor-dimitrov.html

Page Load Overview

34.11s
Total Load Time
18
HTTP Requests
13
Domains
33 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:7,760 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
71%
social media network
70%
government public service
59%
blog personal website
38%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.253.132United States
AS7979Servers.com, Inc.
3142.251.110.94United States
AS15169Google LLC
3104.21.0.120United States
AS13335Cloudflare, Inc.
343.152.26.58Singapore
AS139341ACE
3104.18.11.207United States
AS13335Cloudflare, Inc.
3142.250.154.95United States
AS15169Google LLC
186--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
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

T118026233B681342C372113A595C633BCBD69A013D7CA88E9B5BEF7358BC62CB95B1614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:PzV8P69NgZqxIrseq2AR43VomvPUGWf85ZEQAdE+JEC9nNOrvmECDhnECG20ECZu:Pzi69NgZqMr3VomvPYf85ZEQV+c1DAbz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8257:QiXAABHSgZIbhGWAjhBI1wDLQEUSiAqyQhAEIkZHUji3EZIgMBAAV6B4cwUI1QIU4kAgSfGqAsRKgAEmLAM1MgiLAF4g8a4A

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:c686fefefefefefe
Perceptual Hash:f5323222e6c7c6c6
Difference Hash:0c1c000000000000
Wavelet Hash:0086f0f0f0f0f0f0
Color Hash:#d22dca

Other Hashes

Crop Resistant:0c1c000000000000

Scan History

Scan history not available

Unable to load historical scan data