Security Scan Report: attformehugo-vw309lewpe.edgeone.app

Site favicon
Submitted: May 20, 2026, 8:27:57 PMCompleted: May 20, 2026, 8:29:32 PMpubliccompleted
Loading additional data...

Summary

This website contacted 24 IPs in 3 countries across 25 domains to perform 34 HTTP transactions. The main domain is attformehugo-vw309lewpe.edgeone.app and was registered NaN years ago.

Submitted URL: https://attformehugo-vw309lewpe.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: 78%

2
Risk Score

Low risk site; unknown subdomain age, no malicious indicators, but high redirects and obfuscation suggest caution.

Risk Factors
Domain age unknown (subdomain could be brand‑new)
Low Cisco Umbrella ranking (#455,732)
Excessive redirects (10)
High JavaScript obfuscation score (77/100) without malware match
Safety Factors
No forms collecting credentials or payments
No external IoC or malicious network alerts
No brand impersonation in meta tags
No credential exfiltration observed
Domain age information unavailable

Details

Page Title

South Carolinas Brea Beal entering 2023 WNBA Draft: Why her stock may be rising, where she may la

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(82%)

Domain Information

The domain name 'attformehugo-vw309lewpe.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'attformehugo-vw309lewpe'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 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://attformehugo-vw309lewpe.edgeone.app/

Page Load Overview

26.01s
Total Load Time
59
HTTP Requests
30
Domains
3.5 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:1,756 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
82%
adult content
51%
documentation technical
34%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1352.207.109.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2104.26.5.30United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.67.69.4United States
AS13335Cloudflare, Inc.
2146.75.120.155Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.67.69.243United States
AS13335Cloudflare, Inc.
223.36.162.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.240.108.84United States
AS7979Servers.com, Inc.
5924--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDB21A73A1DA193E531113C2D081B1AC315BEA03D7678DE5B5B77367A2C2ED78E3242A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GAhnYf8zX+BseNJ/co66jAWASiwXUwpP2ob8N57R054YYrWag4MDm:FAhnz+BseNJUKjAWuaPC7R05jYrWag4f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23921:3OSVCGCCC60IRMAgDQQYdORwIABhQQF0lQ7GAshghrATQOigQGZEUaQJWYA1CCrgjAKCSKRlALhJCjHCARdaGIwCARIIKWzg

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:00000868687e6cff
Perceptual Hash:c32cbc05e753bc62
Difference Hash:f121d9d9d9d8d8d8
Wavelet Hash:101868686c7e7cff
Color Hash:#b6d279

Scan History

Scan history not available

Unable to load historical scan data