Security Scan Report: swanthithugo-g51zs9xhez.edgeone.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 14 domains to perform 22 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://swanthithugo-g51zs9xhez.edgeone.app/23264-graham-bennett.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%

3
Risk Score

Low‑risk informational page; no phishing or malware indicators detected.

Risk Factors (3)
Low Cisco Umbrella ranking (#455,732) for a domain mentioning a major brand
High JavaScript obfuscation score (minified code)
Unknown subdomain age on a hosting platform
Safety Factors (4)
No forms collecting credentials or payment data
No malicious network alerts or IDS detections
Content appears to be a biographical article, not a login page
Physical address listed (legitimacy signal)
Domain age information unavailable

Details

Page Title

Graham Bennett

Scan Type

public

Domain Name Analysis

Domain 'swanthithugo-g51zs9xhez.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'swanthithugo-g51zs9xhez'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. It segments into two 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://swanthithugo-g51zs9xhez.edgeone.app/23264-graham-bennett.html

Page Load Overview

12.74s
Total Load Time
141 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:3,450 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
74%
adult content
71%
entertainment media
58%
government public service
54%
documentation technical
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.20.95United States
AS15169Google LLC
2172.240.127.244United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.67.150.240United States
AS13335Cloudflare, Inc.
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.26.4.30United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
229--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C622A27FA40212C9723815568C1B3BCBD29D016DB5BCCE865D89B6D87CB6DB9831EC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWThnYf8zX+6+UJKJmJ/cQ8tNkx6lTYYrWag4MDw:VWThnz+67JULCQlEYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15429:mwDlDA0pBpZnRhARMoAAIXAAOgChAJQm0C8UIgZBIBJJiHSMAKgIyAyCkhQAKMwA7EplBBWUGDABipsCWAwsyY4gImQISQJg

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:ff878383819bffff
Perceptual Hash:bc36c3c9c9c1343e
Difference Hash:422e2f3f2b3b0626
Wavelet Hash:ff8781818181c3ff
Color Hash:#87c589

Scan History

Scan history not available

Unable to load historical scan data