Security Scan Report: about-me-react-x3cu94yh0o.edgeone.app

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Submitted: Dec 4, 2025, 1:38:39 AMCompleted: Dec 4, 2025, 1:39:56 AMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 8 domains to perform 52 HTTP transactions. The main domain is about-me-react-x3cu94yh0o.edgeone.app.

Submitted URL: https://about-me-react-x3cu94yh0o.edgeone.app/

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

Moderate risk due to brand impersonation on a low‑rank domain; no credential collection observed.

Risk Factors
Brand impersonation/typosquatting on a low‑rank domain
Safety Factors
No credential‑harvesting or payment forms present
No malicious Indicators of Compromise detected
Content appears to be a personal “About Me” page
Domain age information unavailable

Details

Page Title

buyfakett - About Me

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'about-me-react-x3cu94yh0o.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'about-me-react-x3cu94yh0o'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://about-me-react-x3cu94yh0o.edgeone.app/

Page Load Overview

0.38s
Total Load Time
52
HTTP Requests
8
Domains
888 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
Text Length:1,669 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1876.223.126.88United States
AS16509AMAZON-02
1543.152.26.58Singapore
13188.114.96.3United States
AS13335CLOUDFLARENET
3185.199.109.154United States
AS54113FASTLY
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a06:98c1:3121::3United States
AS13335CLOUDFLARENET
3185.199.110.154United States
AS54113FASTLY
343.159.99.22Singapore
3240d:c010:77:7::6aSingapore
32a06:98c1:3120::3United States
AS13335CLOUDFLARENET
5215--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EAC33DB9935092F86CC787F8E9317A79705E90BFD993D448E3B8C460B7C2CD88659D84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KwbgTbZXmmcaM79kVVIrINrzrHgT2rXsBOs6sHsd5jh9nY14A:KfTdjch79K4OnATUcBbM/NG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121146:aBACYAEAxQDJSqQsrgDKYAEGgiEaYaeT5mcBQAUJCIQp6RPSMAIRABcAhA+C4AhEcyEIgCCoSMBIBOCCIKgBkoXASlAR9cMS

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:fd010101191901ff
Perceptual Hash:8a73b34cc973cc58
Difference Hash:61a54955b1b1954d
Wavelet Hash:ff012511193919ff
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data