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Security Scan Report: louaymardambekhugo-bgd6u9643s.edgeone.app

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Submitted: May 18, 2026, 11:45:46 AMCompleted: May 18, 2026, 11:47:40 AMpubliccompleted
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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 louaymardambekhugo-bgd6u9643s.edgeone.app and was registered NaN years ago.

Submitted URL: https://louaymardambekhugo-bgd6u9643s.edgeone.app/1358-are-heat-lamps-safe-for-humans.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk article page on a hosting‑platform subdomain; no phishing or malware indicators detected.

Risk Factors
Subdomain creation date unknown (potentially brand‑new)
Low domain ranking (455,732) indicating limited reputation
High JavaScript obfuscation score (though not malicious)
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious Indicators of Compromise detected
No network IDS alerts or malware YARA matches
Page marked as an article (og:type=article) with no brand impersonation
Domain age information unavailable

Details

Page Title

Are heat lamps safe for humans?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'louaymardambekhugo-bgd6u9643s.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'louaymardambekhugo-bgd6u9643s'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Segmentation suggests 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://louaymardambekhugo-bgd6u9643s.edgeone.app/1358-are-heat-lamps-safe-for-humans.html

Page Load Overview

45.86s
Total Load Time
19
HTTP Requests
12
Domains
85 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:2,102 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
5192.178.170.95United States
AS15169Google LLC
2142.251.14.94United States
AS15169Google LLC
2188.114.96.3United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
198--

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

T1B732EB27F944042C6F33459964A1B3BCBDEA9A39C346C8F990F4532FA7C66EB0A65640

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PL6KGIHH3VomvPYf85ZEQV+MsapJKJmrGJjWXxLlpBUYYrWag4ofCvydAXq2:XHhnYf8zX+MJJKJmSJjiRcYYrWag4MDW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11991:EFjASqZDLIlES4oBHBBQShTm7RAMqwQwHCIkAQdBRRKCkACqAEaJ7IFVEQ0AwGCQwBBFAIJUSACggASsgxwCiKYEQyQgoZQo

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:c39f8381c3ffffff
Perceptual Hash:bc3cc3c36161e3c3
Difference Hash:0f382f2f0f480030
Wavelet Hash:c300818100ffffff
Color Hash:#d29e79

Other Hashes

Crop Resistant:0f382f2f0f480030

Scan History

Scan history not available

Unable to load historical scan data