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 24 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://jfflonlinehugo-wtlittsh7o.edgeone.app/14714-christmas-delights-healthy-deviled-eggs-lifestyles.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 indicators despite a new subdomain and low domain ranking.

Risk Factors (3)
Subdomain on edgeone.app with unknown creation date
Low Cisco Umbrella ranking (455,732)
High JavaScript obfuscation score (though not malicious alone)
Safety Factors (5)
No forms collecting credentials or payments
No malicious Indicators of Compromise
No YARA malware matches
No network IDS alerts
Content classified as entertainment/news article
Domain age information unavailable

Details

Page Title

Christmas delights: Healthy deviled eggs | Lifestyles

Scan Type

public

Domain Name Analysis

Domain 'jfflonlinehugo-wtlittsh7o.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'jfflonlinehugo-wtlittsh7o'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals 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-wtlittsh7o.edgeone.app/14714-christmas-delights-healthy-deviled-eggs-lifestyles.html

Page Load Overview

23.30s
Total Load Time
217 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:1,150 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
77%
adult content
60%
news media journalism
56%
government public service
53%
travel tourism
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.110.94United States
AS15169Google LLC
3104.21.0.120United States
AS13335Cloudflare, Inc.
3101.33.10.10Frankfurt am Main, Hesse, Germany
3172.240.108.84United States
AS7979Servers.com, Inc.
3104.20.7.223United States
AS13335Cloudflare, Inc.
3104.20.23.96United States
AS13335Cloudflare, Inc.
3192.178.183.95United States
AS15169Google LLC
247--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10442D733FA84003877735585A982F77E3C98C427D3A18DE4A8B477798BCA6DF4CA1644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGThnYf8zX+WNJKJJJ/X08j8PYYrWag4MD3:YThnz+WMJfN8QYrWag4A3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12774:gOEJSaBQSAASOAovdVgKDhCAiA5CAQyK8CICSFhBAQGk0ECRzRA8SAQTGAOqaZAAQAaIKSC1KATBM4dCoJg8pWAVRqigFRQg

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:008f8181ffffffff
Perceptual Hash:bc389393397961c3
Difference Hash:1e38333348000000
Wavelet Hash:009f8181e7ffff00
Color Hash:#351f93

Other Hashes

Crop Resistant:1e38333348000000

Scan History

Scan history not available

Unable to load historical scan data