Security Scan Report: legallinghugo-ibvoslm3kx.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 13 domains to perform 21 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://legallinghugo-ibvoslm3kx.edgeone.app/17551-i-drove-2-of-the-coolest-big-electric-suvs-you-can-buy-see-how-the-96000-bmw-ix-and-92000-rivia.html

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

The site appears to be a low‑risk article page; no phishing or malware indicators were found, though the subdomain is newly created and JavaScript is heavily obfuscated.

Risk Factors (2)
Low Cisco Umbrella ranking (455,732) for the subdomain
High JavaScript obfuscation score (77/100) – normal for minified code but still notable
Safety Factors (3)
No credential or payment collection forms
No malicious Indicators of Compromise or YARA matches
Content classified as news/media article, not phishing or scam
Domain age information unavailable

Details

Page Title

I drove 2 of the coolest big electric SUVs you can buy. See how the $96,000 BMW iX and $92,000 Rivia

Scan Type

public

Domain Name Analysis

The domain name 'legallinghugo-ibvoslm3kx.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'legallinghugo-ibvoslm3kx'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://legallinghugo-ibvoslm3kx.edgeone.app/17551-i-drove-2-of-the-coolest-big-electric-suvs-you-can-buy-see-how-the-96000-bmw-ix-and-92000-rivia.html

Page Load Overview

13.55s
Total Load Time
131 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:9,124 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
50%
finance banking
45%
documentation technical
43%
adult content
43%
e-commerce shopping
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.14.94United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.127.234United States
AS7979Servers.com, Inc.
218--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2923B1BAAC9123917723AD5954E7AFDFA29C016D3E1DCB021838632C7C75E781FA0C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jGYhnYf8zX+WDwklDK0D7vDfJKJT9ADwpoy0m+75rJyQ0fDGRYYrWag4MDoq2:jGYhnz+WDwklDK0D7vDG9ADwpoJmXfSP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19640:DEiZICFhCSFCnARDyCFD8oAC5hARLAgoUClOQiBlNBhOo4BIGAhBCgAIga0UF0JYTzwBXNIpIA6KklFCzgJQhjoZh9ALjuQB

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:3c20003c3c3c3c3c
Perceptual Hash:ca379c339836cc66
Difference Hash:f1c1c5d1d1d1cdf1
Wavelet Hash:7d34003c7c7c7c3c
Color Hash:#5953ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data