Security Scan Report: apacificunionhugo-8kkdpt5yh6.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 14 domains to perform 18 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://apacificunionhugo-8kkdpt5yh6.edgeone.app/23896-mark-may.html

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

AI Security Verdict

Low Risk

Confidence: 88%

3
Risk Score

The site shows no credential or payment collection, lacks malicious indicators, but has a new, low‑ranked subdomain and high JS obfuscation, resulting in a low‑risk rating.

Risk Factors (3)
High JavaScript obfuscation score (potentially suspicious code)
Low domain ranking in Cisco Umbrella
Unknown subdomain age on a hosting platform
Safety Factors (5)
No forms collecting credentials or payments
No malicious Indicators of Compromise
No JavaScript malware signatures
Page marked as an article (og:type=article) – not an impersonation attempt
Hosted on reputable edgeone.app platform
Domain age information unavailable

Details

Page Title

Mark May

Scan Type

public

Domain Name Analysis

You're looking at domain 'apacificunionhugo-8kkdpt5yh6.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'apacificunionhugo-8kkdpt5yh6'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Segmentation suggests 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://apacificunionhugo-8kkdpt5yh6.edgeone.app/23896-mark-may.html

Page Load Overview

90.13s
Total Load Time
79 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:4,115 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
78%
news media journalism
77%
phishing scam
73%
entertainment media
72%
government public service
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.26.5.30United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
243.152.26.58Singapore
2142.251.14.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
189--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F721A27F740212CA723426A64C2F7BD7E34C017E3A78C6C6998E3E987C66D75877684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWphnYf8zX++hJKJMJ/cx8tsF9OTmTZLzYYrWag4MDw:VWphnz++ZJU4Q9bTZLkYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16109:ErgQVNkxhzGEAlAUZIGJFRABEEFAMNQgiDAS0EBZAQBMzByFOCEISCxREAAUA4gkS1OUhDQ4BCVQAYikag5jIQQgOMkIE2on

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:ffffe1c181d7ffff
Perceptual Hash:ed4396b469cb9431
Difference Hash:2c0a030307372b06
Wavelet Hash:e7e3c1818183c3f7
Color Hash:#d22d80

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data