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Security Scan Report: wandering-tan-85f779nwap-t3w4xvz9kk.edgeone.app

Submitted: Jan 30, 2026, 3:28:53 AMCompleted: Jan 30, 2026, 3:30:24 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 1 HTTP transaction. The main domain is wandering-tan-85f779nwap-t3w4xvz9kk.edgeone.app and was registered NaN years ago.

Submitted URL: https://wandering-tan-85f779nwap-t3w4xvz9kk.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Low risk overall, but the password‑only form is suspicious; verify the site’s legitimacy before entering credentials.

Risk Factors
Password field without accompanying username field
Safety Factors
Domain age > 2 years (well‑established)
No malicious Indicators of Compromise detected
Hosted on standard web hosting (not IPFS/cloud)
No external domains or redirects
No brand impersonation detected
Domain age information unavailable

Details

Page Title

KASIRKUNDRS-APP VER.9.9 POS SYSTEM (CASHIER REPORT)

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'wandering-tan-85f779nwap-t3w4xvz9kk.edgeone.app' is registered and includes subdomain 'wandering-tan-85f779nwap-t3w4xvz9kk'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Segmentation suggests two 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://wandering-tan-85f779nwap-t3w4xvz9kk.edgeone.app/

Page Load Overview

7.33s
Total Load Time
12
HTTP Requests
7
Domains
336 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:2,478 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking83% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
83%
government public service
56%
cryptocurrency blockchain
46%
technology software
40%
adult content
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.250.201.67United States
AS15169
1142.251.141.129Sweden
AS60068
1104.26.2.143Singapore
AS139341
1212.102.56.179Unknown
AS13335
1142.251.208.170UnknownUnknown
1104.17.24.14UnknownUnknown
143.152.26.58Singapore
AS139341ACE
127--

Detected Technologies3

Cloudflare
50%
Tailwind CSS
30%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125F3D57932F111324CD796FBB687AF8979259243DD0BC554FD8C82404FD2EA28EA7788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Uhk9NOe4XjgXoClBP1Dqfu/a3NXmhb2OgbDYdbeRszJHmi4tqw:Uhk9IeOCoCJI9lGb2OVbeSmzP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162148:DsAgYQKIIEIY1REZiskkIhNEDDNNCUUBkFIIRbgQWAIiKPC9gDBhAELkK+TIi4Tic8gQIQAFOx2AQcBQAkmEMGIhEgiTSc8m

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:0000181818180000
Perceptual Hash:cc3333cecc992633
Difference Hash:300c32b2b2b20c10
Wavelet Hash:ff00ff7dff180000
Color Hash:#3a7078

Other Hashes

Crop Resistant:b696b2a2a2e239a2,300c32b2b2b20c10

Scan History

Scan history not available

Unable to load historical scan data