Security Scan Report: jfflonlinehugo-wtlittsh7o.edgeone.app

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Submitted: May 18, 2026, 6:39:10 PMCompleted: May 18, 2026, 6:40:30 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is jfflonlinehugo-wtlittsh7o.edgeone.app and was registered NaN years ago.

Submitted URL: https://jfflonlinehugo-wtlittsh7o.edgeone.app/21665-350-most-creative-pair-names-perfect-for-your-pair-of-pets.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 appears to be a low‑risk article page with no malicious forms or indicators, though the subdomain’s age is unknown.

Risk Factors
Subdomain on a hosting platform with unknown creation date
High JavaScript obfuscation score (though not linked to malware)
Safety Factors
Page type is an article (og:type=article) with no brand impersonation
No credential or payment forms present
No malicious IoC or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

350+ most creative pair names perfect for your pair of pets

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(59%)

Domain Information

You're looking at domain 'jfflonlinehugo-wtlittsh7o.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'jfflonlinehugo-wtlittsh7o'. The registrable portion 'edgeone' spans 7 characters with four vowels and 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://jfflonlinehugo-wtlittsh7o.edgeone.app/21665-350-most-creative-pair-names-perfect-for-your-pair-of-pets.html

Page Load Overview

12.20s
Total Load Time
20
HTTP Requests
12
Domains
126 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:9,312 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
59%
education learning
35%
corporate
35%
corporate business
34%
news media journalism
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
2104.20.7.223United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181920A5BEB85546C9A32419568E9BAEC3C34403BF3424C989CECF32543CEACBC571B66

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGIhnYf8zX+0wJKJJI8fO5YkEe2r/KnAirlBud4SWIY/y3hVEcfKAuF+CYYrWagQ:YIhnz+0vpKXnflkdVcT8U+lYrWag4Aoh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20382:AcETPcAbFGAIpTDz5UCKBhqCqEgCCZDwAgCG4ZoFgYUK4QGgEVAkEAwAAIA4ka9HS2YMlAgoKQJAI3iKIyjgFEpx5sCBFQU0

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:c7ffc3c3c3838383
Perceptual Hash:bdd39232197169e1
Difference Hash:1e2c1a3a27272733
Wavelet Hash:87ffc383c3838383
Color Hash:#d2642d

Other Hashes

Crop Resistant:1e2c1a3a27272733

Scan History

Scan history not available

Unable to load historical scan data