Security Scan Report: energywaleed-n7c90fkel1.edgeone.app

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Submitted: Dec 11, 2025, 9:24:32 AMCompleted: Dec 11, 2025, 9:25:14 AMpubliccompleted
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Summary

This website contacted 18 IPs in 4 countries across 5 domains to perform 8 HTTP transactions. The main domain is energywaleed-n7c90fkel1.edgeone.app and was registered NaN years ago.

Submitted URL: https://energywaleed-n7c90fkel1.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No suspicious forms or content
Domain age information unavailable

Details

Page Title

EnergyWaleed

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(79%)

Domain Information

The domain name 'energywaleed-n7c90fkel1.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'energywaleed-n7c90fkel1'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Word splitting yields two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://energywaleed-n7c90fkel1.edgeone.app/

Page Load Overview

6.99s
Total Load Time
8
HTTP Requests
5
Domains
134 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
Text Length:608 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
education learning
62%
healthcare medical
37%
government public service
34%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.26.3.143United States
AS13335CLOUDFLARENET
045.43.142.8United Kingdom
AS16276OVH SAS
0216.58.206.74United States
AS15169GOOGLE
043.152.26.58Singapore
0104.26.2.143United States
AS13335CLOUDFLARENET
045.43.142.5United Kingdom
AS16276OVH SAS
0142.250.186.163United States
AS15169GOOGLE
02606:4700:20::681a:38fUnited States
AS13335CLOUDFLARENET
02606:4700:20::ac43:440bUnited States
AS13335CLOUDFLARENET
0172.67.68.11United States
AS13335CLOUDFLARENET
818--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A544D557A265573710B371E8628B0396F63CC286FAB9346C706EC2642BCDC6C947B1DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UhSo4BzzDaUyXGiKN2nwe5XTRG66+8kSPc4jTU4xrNNt5JKLPxgSaMVEcg+xnquq:UhiqvPqS8l7cGqR4yn/HW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:271273:SgV6wC4SACQggSrLDEABAxCdqYXCSIAgMQiGAlikGhQMuRYRShmBmDMF2hKKoSwIAFzlAqotQLQI8MLPFAhATAIUAhmBAiYg

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data