Security Scan Report: jfflonlinehugo-wtlittsh7o.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 23 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://jfflonlinehugo-wtlittsh7o.edgeone.app/3641-10-facts-about-sapporo-snow-festival.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 informational article; no malicious indicators detected.

Risk Factors (3)
Unknown subdomain age (could be brand‑new)
Low Cisco Umbrella ranking (455,732)
High JavaScript obfuscation score (but no malware signatures)
Safety Factors (3)
No forms collecting credentials or payments
No malicious Indicators of Compromise or IDS alerts
Content appears to be informational article about a tourism event
Domain age information unavailable

Details

Page Title

10 Facts About Sapporo Snow Festival

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'jfflonlinehugo-wtlittsh7o.edgeone.app' is registered and includes subdomain 'jfflonlinehugo-wtlittsh7o'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Breaking it apart gives 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://jfflonlinehugo-wtlittsh7o.edgeone.app/3641-10-facts-about-sapporo-snow-festival.html

Page Load Overview

12.81s
Total Load Time
221 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:9,562 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
71%
education learning
61%
finance banking
38%
adult content
36%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.13.95United States
AS15169Google LLC
343.152.26.58Singapore
3104.20.7.223United States
AS13335Cloudflare, Inc.
3104.21.0.120United States
AS13335Cloudflare, Inc.
3172.240.127.242United States
AS7979Servers.com, Inc.
3142.251.110.94United States
AS15169Google LLC
3172.66.169.241United States
AS13335Cloudflare, Inc.
237--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186A22B27F24523387B1112647959B2BF7B2840B693E18F60E45E527C93C36DB837FA89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGvhnYf8zX+cnDJKJJJ/c08XQmOvc/oAd7zmrsDF9sYYrWag4MDw:Yvhnz+cnCJUNjIevd7HF93YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21288:USESBBMwiJiKekQ5ACIoCDSwiFFBBEAgAXpAVHrKRUPJQYCwgNWkGFEYdGcxMhAIAWabJIIAWaDCI1AmIggzFfEaYhBCVRBg

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:8fffc383838383ff
Perceptual Hash:bd9193395339416d
Difference Hash:1630063b233b2f2e
Wavelet Hash:8eff8383818381df
Color Hash:#b7d22d

Other Hashes

Crop Resistant:1630063b233b2f2e

Scan History

Scan history not available

Unable to load historical scan data