Security Scan Report: djrhqjlblog-7nik8yuhld.edgeone.app

Site favicon
Submitted: May 23, 2026, 3:14:20 PMCompleted: May 23, 2026, 3:16:58 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 10 HTTP transactions. The main domain is djrhqjlblog-7nik8yuhld.edgeone.app and was registered NaN years ago.

Submitted URL: https://djrhqjlblog-7nik8yuhld.edgeone.app/10394-48-facts-about-ulan-ude-factsnet.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows low risk: no malicious indicators, no credential collection, but the subdomain is newly created and heavily obfuscated JavaScript warrants mild caution.

Risk Factors
Unknown subdomain age on a hosting platform
High JavaScript obfuscation score (indicative of heavy minification)
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise
No YARA malware matches
External resources are common legitimate services (Google Fonts, StatCounter, etc.)
Domain age information unavailable

Details

Page Title

48 Facts about Ulan-Ude - Facts.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(91%)

Domain Information

The domain name 'djrhqjlblog-7nik8yuhld.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'djrhqjlblog-7nik8yuhld'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://djrhqjlblog-7nik8yuhld.edgeone.app/10394-48-facts-about-ulan-ude-factsnet.html

Page Load Overview

90.18s
Total Load Time
14
HTTP Requests
11
Domains
36 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:18,367 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
91%
education learning
83%
adult content
73%
government public service
58%
blog personal website
49%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.20.8.223United States
AS13335Cloudflare, Inc.
1192.178.183.94United States
AS15169Google LLC
1172.240.108.76United States
AS7979Servers.com, Inc.
1104.18.10.207United States
AS13335Cloudflare, Inc.
1172.67.150.240United States
AS13335Cloudflare, Inc.
1192.178.183.95United States
AS15169Google LLC
1101.33.10.10Frankfurt am Main, Hesse, Germany
1172.66.169.241United States
AS13335Cloudflare, Inc.
148--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13ED2FA27E74113382A5302A1228B72EDF75C841DE7525DE2A4DC92751BD339B437BBE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bQUhnz+3DJxyJqR6HqBwXal5rZNjJzTYTdag4xd:b2XyJr43rZNjJHYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29256:IBD4EwOgAlMWBgQouJAnhAjNCQINICCpCxGtSEF5kRBsAMCQMUBEggBIEUZNzIZFgACggVQk4sQg4AUMQBEuLCiMQXABXgIR

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:86dfc3c3c3c3c3c7
Perceptual Hash:b49bcb2a4a654765
Difference Hash:181e161616161616
Wavelet Hash:00dfc3c3c3c3c3c7
Color Hash:#a640bf

Other Hashes

Crop Resistant:181e161616161616

Scan History

Scan history not available

Unable to load historical scan data