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Security Scan Report: kasirsipbarbershop-gvmh7e6w4d.edgeone.app

Submitted: Apr 22, 2026, 10:11:33 AMCompleted: Apr 22, 2026, 10:12:54 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 20 HTTP transactions. The main domain is kasirsipbarbershop-gvmh7e6w4d.edgeone.app and was registered NaN years ago.

Submitted URL: https://kasirsipbarbershop-gvmh7e6w4d.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site likely harvests passwords without usernames; treat as credential phishing and do not engage.

Risk Factors
Credential harvesting pattern (password‑only fields)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Highly obfuscated JavaScript
Absence of legitimate brand verification
Domain age information unavailable

Details

Page Title

SIP KASIR - Sistem Informasi Pangkas

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(72%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kasirsipbarbershop-gvmh7e6w4d.edgeone.app' is registered and includes subdomain 'kasirsipbarbershop-gvmh7e6w4d'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Word splitting yields two 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://kasirsipbarbershop-gvmh7e6w4d.edgeone.app/

Page Load Overview

1.31s
Total Load Time
11
HTTP Requests
8
Domains
532 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:2,174 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking72% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
72%
government public service
47%
technology software
46%
documentation technical
32%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.26.2.143Singapore
AS15169Google LLC
1104.18.38.10Singapore
AS139341ACE
1104.17.25.14United States
AS13335Cloudflare, Inc.
1142.251.14.95United States
AS15169Google LLC
1104.16.174.226SingaporeUnknown
1104.21.80.4SingaporeUnknown
1192.178.183.94United States
AS15169Google LLC
143.152.26.58Singapore
AS139341ACE
118--

Detected Technologies5

Cloudflare
50%
Tailwind CSS
30%
jsDelivr
20%
cdnjs
20%
Font Awesome
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADF30A1930F6103A095B46F7E78B2E6C7928F687D853C658BA2C45501FC3FE4AE97398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJIBh4btWZJ0sbbqeVdu+COrnpn376nXd:ihwWZJ0sCeVdu+COrnp376BW4miJentk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:160584:CGQGoSEDHpKBSIDG0CmIOgAA2hIA5FRADrkk0bQCwRiZAWIAvGolAAJFJJAatAmjQAFwgJIABhDIAEpCSjYkAa1AjKXCUH0A

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:0f1f1e1e3c78f8f0
Perceptual Hash:d49837273d8c6c27
Difference Hash:fcf8f4f4e0e0c0c0
Wavelet Hash:0f1e1e3c3c7878f0
Color Hash:#6ce079

Other Hashes

Crop Resistant:fcf8f4f4e0e0c0c0

Scan History

Scan history not available

Unable to load historical scan data