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Security Scan Report: ariesddghugo-srhn0zpyem.edgeone.app

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Submitted: May 21, 2026, 3:27:18 AMCompleted: May 21, 2026, 3:29:23 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is ariesddghugo-srhn0zpyem.edgeone.app and was registered NaN years ago.

Submitted URL: https://ariesddghugo-srhn0zpyem.edgeone.app/10754-nissan-lumen-el-primer-coche-fnebre-100-elctrico.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

The site appears to be a low‑quality news article about Nissan; moderate risk due to unknown subdomain age and low domain reputation.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking for the domain
High JavaScript obfuscation score (though not linked to malware)
Brand name appears on a low‑ranked, non‑official domain
Safety Factors
Page type is article (informational), not a login or payment page
No credential or payment forms present
No malicious Indicators of Compromise or network alerts
Domain age information unavailable

Details

Page Title

Nissan: Lumen, el primer coche fnebre 100% elctrico

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'ariesddghugo-srhn0zpyem.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ariesddghugo-srhn0zpyem'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Breaking it apart gives 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://ariesddghugo-srhn0zpyem.edgeone.app/10754-nissan-lumen-el-primer-coche-fnebre-100-elctrico.html

Page Load Overview

33.92s
Total Load Time
20
HTTP Requests
13
Domains
86 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:4,662 chars
Detector Agreement:60%

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
6172.240.253.132United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2192.178.183.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
208--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131620827A981562D67621380B591F5BD7C484409E37DC8A770B6E77A84CE2CFCCA3B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XhhnYf8zX+msxdsCs/sWJKJXJ/chotTSrA1vjOsjYYrWag4MDw:Xhhnz+mGdJm+JUM2rA1vjoYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15533:IOkBZgoZgBwMBmiEA/CYGQQWYIUoBEkEBKKIOUEoAZQAiACYQBEhTqAq6QBGLknCwAEAVBSaJEDSCZAUMkA5EQjQDQHssrYU

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:c39fc3838383ffff
Perceptual Hash:bc38d33069636d65
Difference Hash:0b38233f2f2fcc12
Wavelet Hash:c38781818181ffff
Color Hash:#bf4062

Other Hashes

Crop Resistant:0b38233f2f2fcc12

Scan History

Scan history not available

Unable to load historical scan data