Security Scan Report: mild-teal-odbft23acb-e3lj350yvl.edgeone.app

Submitted: Apr 11, 2026, 3:06:49 AMCompleted: Apr 11, 2026, 3:08:08 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is mild-teal-odbft23acb-e3lj350yvl.edgeone.app and was registered NaN years ago.

Submitted URL: https://mild-teal-odbft23acb-e3lj350yvl.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

Password‑only form on a newly created edgeone.app subdomain suggests credential harvesting; classify as high‑risk phishing.

Risk Factors
Password field without username (suspicious credential harvesting pattern)
New subdomain on hosting platform with unknown age
Low Cisco Umbrella ranking for a site presenting finance/banking content
Domain age information unavailable

Details

Page Title

Sistem Terintegrasi F&B Pinadar V2.0

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(52%)

Domain Information

You're looking at domain 'mild-teal-odbft23acb-e3lj350yvl.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'mild-teal-odbft23acb-e3lj350yvl'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mild-teal-odbft23acb-e3lj350yvl.edgeone.app/

Page Load Overview

1.14s
Total Load Time
7
HTTP Requests
3
Domains
211 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:1,105 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
52%
government public service
48%
technology software
35%
documentation technical
34%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.17.25.14Singapore
2163.181.254.194United States
AS24429Zhejiang Taobao Network Co.,Ltd
243.152.26.58Singapore
73--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E13F60270F22121445760FEABE75B163970C10BE64A8E583E6C56D49F87FA18ABF7DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:reYkiicp1d4rr8w+egPQ+bJKe3qcgt4u/fnLC:HicMr8w+vJKvzt/fnLC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45303:Sil6BGsAR4ACBFEAi+TFCOABoA8RRj0aFoAiUgygUEimMkEiglwI8GoASxgGGiZoAMAIlaAICJFS9FjWAI4aDQgkAARJEyDY

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:885c6672d9ccccd9
Difference Hash:f7cfb2b2b2b2df7e
Wavelet Hash:01031f1f1f1f0f1f
Color Hash:#7b53ac

Other Hashes

Scan History

Scan history not available

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