ScanMalware.com

Security Scan Report: kasirsipbarbershop-d1493deb24.edgeone.app

Submitted: Apr 20, 2026, 12:56:33 AMCompleted: Apr 20, 2026, 12:57:53 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 1 HTTP transaction. The main domain is kasirsipbarbershop-d1493deb24.edgeone.app and was registered NaN years ago.

Submitted URL: https://kasirsipbarbershop-d1493deb24.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

The site shows moderate risk due to credential‑only password fields and unknown subdomain age, but lacks concrete malware or IoC evidence.

Risk Factors
Unknown subdomain age on a hosting platform
Credential‑only password fields
Low domain reputation ranking
Critical JavaScript obfuscation score
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No network IDS alerts
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

SIP KASIR - Sistem Informasi Pangkas

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(67%)

Domain Information

The domain name 'kasirsipbarbershop-d1493deb24.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'kasirsipbarbershop-d1493deb24'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kasirsipbarbershop-d1493deb24.edgeone.app/

Page Load Overview

1.39s
Total Load Time
11
HTTP Requests
8
Domains
553 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:2,839 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking67% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
67%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4151.101.65.229Singapore
AS15169
143.152.26.58Singapore
AS139341ACE
1142.251.13.95Singapore
AS13335
1172.64.149.246United States
AS13335Cloudflare, Inc.
1104.17.25.14SingaporeUnknown
1142.251.14.94SingaporeUnknown
1172.67.68.11United States
AS13335Cloudflare, Inc.
1172.67.172.85United States
AS13335Cloudflare, Inc.
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

T137141B1531F6103A095B86F6E78B396C7828F687D852C668BB3C45501F83FE4EE97398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JMCMPMCMfMCM8MCMGMCM/MCMtMCMAsVMJIBhebtWZJ0sbbJeV7Eiu+COrnpn3l67:ihiWZJ0sReVlu+COrnp3l6hW7iJeXs7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:206178:aRMWQfAgCixMEAJqoEMNrSlSARRIxThmDII8BIBQGGwIEEAofsUAwJGEaATmGkkCJJH+pHKgMNMANYChAABaGQIGViCFElpz

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:#b8d279

Other Hashes

Crop Resistant:fcf8f4f4e0e0c0c0

Scan History

Scan history not available

Unable to load historical scan data