Security Scan Report: swanthithugo-g51zs9xhez.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 15 domains to perform 21 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://swanthithugo-g51zs9xhez.edgeone.app/22767-susan-crow-benedetto.html

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

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

Page is an article with no phishing or malware, but unknown subdomain age and high JS obfuscation warrant moderate caution.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain ranking
High JavaScript obfuscation score
Safety Factors (4)
No credential or payment forms present
No malicious Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Susan Crow Benedetto

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'swanthithugo-g51zs9xhez.edgeone.app' is registered with subdomain 'swanthithugo-g51zs9xhez'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://swanthithugo-g51zs9xhez.edgeone.app/22767-susan-crow-benedetto.html

Page Load Overview

12.76s
Total Load Time
124 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:4,483 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
53%
entertainment media
53%
government public service
46%
news media journalism
44%
blog personal website
42%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.178.183.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.26.5.30United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.240.108.76United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2110--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138621A27F784613C9B61519678C2F2BCBD34C01AD39B8C7874D9936946CBBC786BA1C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWihnYf8zX+jcJKJ5s8pU+TBZmZRkYYrWag4MDoq2:VWihnz+jHPU+TBQZBYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15791:EBgEdKoEBhDGCxGAYGDgipQADDYgJJwUAOSQAQLhSQBanB2x4GUurRiAFenIoIhjyEIkHQ0CkAEgAGyUiAwgjRcIEsGIgBUB

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:ffcb81c3c1c3ffff
Perceptual Hash:ed6c929396c4692b
Difference Hash:443b23270b0b3633
Wavelet Hash:ff8181818181cfff
Color Hash:#362d86

Scan History

Scan history not available

Unable to load historical scan data