Security Scan Report: attformehugo-ejwtv8ajvw.edgeone.app

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Submitted: May 18, 2026, 2:17:53 PMCompleted: May 18, 2026, 2:19:17 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 attformehugo-ejwtv8ajvw.edgeone.app and was registered NaN years ago.

Submitted URL: https://attformehugo-ejwtv8ajvw.edgeone.app/16797-why-dartmouth-beer-pong-is-so-dangerously-fun.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Page impersonates a major brand (Amazon) on a newly created subdomain with high obfuscation, indicating a high‑risk phishing site.

Risk Factors
Brand impersonation on low‑ranked domain
Unknown subdomain age on generic hosting platform
High JS obfuscation indicating potentially malicious code
Low domain reputation (Umbrella rank > 100k)
Potential typosquatting of a major brand
Safety Factors
No login or payment forms detected
No malicious YARA patterns matched
No IDS/Suricata alerts
No external malicious links identified
Established domain (1104 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Why Dartmouth Beer Pong Is So Dangerously Fun

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'attformehugo-ejwtv8ajvw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'attformehugo-ejwtv8ajvw'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 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://attformehugo-ejwtv8ajvw.edgeone.app/16797-why-dartmouth-beer-pong-is-so-dangerously-fun.html

Page Load Overview

15.46s
Total Load Time
19
HTTP Requests
12
Domains
28 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:11,774 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2172.217.208.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129A20927F3C1233951624244F58AB2EDA739C079D3224DA198DF92282749FBB557BACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2G7UhnYf8zX+0EAfcae9sJKJc06XelpYN/HN5Q6LCx5xWbAgfAP7HLFYYrWag4Ma:Fohnz+zUCjU/td0PWbAu06YrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22379:oIoAjZECgOEDepcwEEEAIDIiMBGFVrQCI6CQUQxMcIIQwCWwIYSoIQ0VYDSwhAMwLfw6FxAAAFARIBsxBEDCr/gtYSCJAEBk

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:3000003c3c3c243c
Perceptual Hash:8a67cc669c369c33
Difference Hash:e5c1d9c1d1e1cdf1
Wavelet Hash:38203c3c3d3d3d3d
Color Hash:#5360ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data