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Security Scan Report: hargasepeda-t0ln1bre55.edgeone.app

Submitted: Mar 14, 2026, 2:46:43 AMCompleted: Mar 14, 2026, 2:47:57 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is hargasepeda-t0ln1bre55.edgeone.app and was registered NaN years ago.

Submitted URL: https://hargasepeda-t0ln1bre55.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 malicious activity detected; site appears to be a legitimate informational page about electric bikes.

Safety Factors
Informational content about electric bicycles
No credential or payment collection fields
No external malicious links; only benign CDNs (cdn.jsdelivr.net, wsrv.nl)
No network IDS alerts
Hosted on a known development platform (edgeone.app) without evidence of abuse
Domain age information unavailable

Details

Page Title

Hargasepeda.Edgeone.App - Beranda

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

technology software

(93%)

Domain Information

Domain 'hargasepeda-t0ln1bre55.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'hargasepeda-t0ln1bre55'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Breaking it apart gives 2 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://hargasepeda-t0ln1bre55.edgeone.app/

Page Load Overview

0.64s
Total Load Time
16
HTTP Requests
3
Domains
448 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:1,661 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software93% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
93%
documentation technical
88%
cryptocurrency blockchain
71%
education learning
69%
e-commerce shopping
66%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
AS139341ACE
5188.114.97.3United States
AS13335Cloudflare, Inc.
5151.101.193.229United States
AS54113Fastly, Inc.
163--

Detected Technologies1

jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D2223B928F8203B20E366C3951EEB4D74C6E35FC9232465F2FC8791DBA2ED1B921451

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sgxn6mupzig4DkwIBqf/yJkibiZxZMFd1iSMFdxiZxB5W:f1/+QuBqHy0MNMw5W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10744:yMBIQjJTBTcUiQxPgIFMRwwCgWSABhBAIxBFwcghFYOFDsqVw5MdcAQMAiMQIwCgIUogjYCJJZEB0YR8JgpuKAjbiwCDmI6Y

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:0087c7ffff8787ff
Perceptual Hash:b75e3273494d4349
Difference Hash:8d0e0e26520f0f27
Wavelet Hash:008383ebeb8383ff
Color Hash:#d279c9

Other Hashes

Crop Resistant:8d0e0e26520f0f27,019129d4d4299101,935151d29a7b495a,996466de8dae2d7f

Scan History

Scan history not available

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