Security Scan Report: general-apricot-tmb4xwybwv-o111cmf0e1.edgeone.app

Submitted: Mar 18, 2026, 9:30:03 PMCompleted: Mar 18, 2026, 9:31:21 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 8 HTTP transactions. The main domain is general-apricot-tmb4xwybwv-o111cmf0e1.edgeone.app and was registered NaN years ago.

Submitted URL: https://general-apricot-tmb4xwybwv-o111cmf0e1.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: 85%

8
Risk Score

The site appears to harvest passwords on a newly created subdomain; do not enter credentials.

Risk Factors
Password field without username/email
New/unknown subdomain on free hosting platform
Low domain ranking
Multiple password‑only forms
Domain age information unavailable

Details

Page Title

Sistem Manajemen Restoran - PINADAR

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

documentation technical

(39%)

Domain Information

The domain 'general-apricot-tmb4xwybwv-o111cmf0e1.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'general-apricot-tmb4xwybwv-o111cmf0e1'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Breaking it apart gives 2 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://general-apricot-tmb4xwybwv-o111cmf0e1.edgeone.app/

Page Load Overview

0.84s
Total Load Time
8
HTTP Requests
5
Domains
424 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:1,530 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical39% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
39%
government public service
38%
adult content
35%
finance banking
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.25.14Singapore
143.152.26.58Singapore
1163.181.254.193United States
1146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1104.26.5.30UnknownUnknown
85--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E423C76624FA14724A7370BA63C7AA083930C103A74EDD543E5C97E49F8BE91C4BF69D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lYB9X7ayzpSowMNuPCpqtS3zqY/nI4URe6:0X7LzpSoKNtS3zqYvI4UY6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47624:gxQMtwkHwQYg18DGaAQQUNQIWB3IEh0wBwBDBJhIIigkg2kADMDyAkxfEAayMBmygPAQCkGyoIYqEUUDLwMHQBygjbEoJIC5

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:001818ff5c181800
Perceptual Hash:d8426749b2f2cdcc
Difference Hash:c4b0b2b2b2b2b24d
Wavelet Hash:0018feffff187c00
Color Hash:#3a7841

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data