Security Scan Report: jfflonlinehugo-mst1q7kqj2.edgeone.app

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Submitted: May 18, 2026, 8:20:36 AMCompleted: May 18, 2026, 8:22:05 AMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 21 domains to perform 33 HTTP transactions. The main domain is jfflonlinehugo-mst1q7kqj2.edgeone.app and was registered NaN years ago.

Submitted URL: https://jfflonlinehugo-mst1q7kqj2.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low risk site with unknown subdomain age, no malicious indicators, but caution advised due to low reputation and obfuscated scripts.

Risk Factors
Unknown subdomain age on edgeone.app
Low Cisco Umbrella ranking
High JavaScript obfuscation score
Multiple redirects
Safety Factors
No forms or credential collection
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

10 French Toast Nutrition Facts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(82%)

Domain Information

You're looking at domain 'jfflonlinehugo-mst1q7kqj2.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'jfflonlinehugo-mst1q7kqj2'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jfflonlinehugo-mst1q7kqj2.edgeone.app/

Page Load Overview

19.63s
Total Load Time
46
HTTP Requests
25
Domains
3.1 MB
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:2,397 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
82%
entertainment media
79%
news media journalism
67%
social media network
60%
healthcare medical
57%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.150.240United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
252.207.109.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2192.178.183.94United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
2146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2146.75.120.155Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.250.154.95United States
AS15169Google LLC
2172.64.150.187United States
AS13335Cloudflare, Inc.
4621--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4B2C66792C90F3A331503C1A68173AD78538E17C7E7C9F073A67B7ADAC6DE28912512

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Ythnz+DE8NyqycKMGkxljlLmKbRdRrBVOYrWag4A6q2:YRKKMGEmmTuYrWag4A6q2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25115:RJEIihAMBDXWZCRv4AdIWQIJhVU7DgOGYi0iwsVBgdKEgGJBDFPNI2AYHBgIJUIAQKZAzaTuLYkisBTIGJhmjOlY18EPkLAm

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:ff9f9f9f9f879f9f
Perceptual Hash:bec1e1e1c133631e
Difference Hash:963838382c2e2c3c
Wavelet Hash:008e8e8f9f87878f
Color Hash:#5360ac

Other Hashes

Crop Resistant:963838382c2e2c3c

Scan History

Scan history not available

Unable to load historical scan data