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Security Scan Report: mild-coffee-ikiyzztfqu-9pkvk5rqgu.edgeone.app

Submitted: Feb 25, 2026, 4:04:24 AMCompleted: Feb 25, 2026, 4:05:46 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is mild-coffee-ikiyzztfqu-9pkvk5rqgu.edgeone.app and was registered NaN years ago.

Submitted URL: https://mild-coffee-ikiyzztfqu-9pkvk5rqgu.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: 88%

3
Risk Score

No malicious activity detected; site appears benign but the new subdomain warrants caution.

Risk Factors
New/unknown‑age subdomain on a free hosting platform
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

MAP Dashboard — Adstart Media

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(65%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mild-coffee-ikiyzztfqu-9pkvk5rqgu.edgeone.app' is registered, featuring subdomain 'mild-coffee-ikiyzztfqu-9pkvk5rqgu'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mild-coffee-ikiyzztfqu-9pkvk5rqgu.edgeone.app/

Page Load Overview

1.67s
Total Load Time
4
HTTP Requests
2
Domains
809 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:993 chars
Detector Agreement:67%

Website Classification

Primary Category

corporate business65% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
65%
technology software
36%
education learning
27%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
2104.17.25.14Singapore
AS13335
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109358E7191042D37168AB4EA542D0FCB7788D2634B8E5C38B95DDED0CB8E972ED1B98C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:Q61xZ16uIHOyb+bGh53sJYdve6ibwu5cmMAr2JFB:QUnGPeMUM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1090455:itlCAyCIBBoGYaBIASUhGlxRA1hhhCU0tQbIRJCwIhAyJ6AVYgJyUFABcKDmMjRBRwBPtEmBCHWzpAJMGAC2DMZAsABKwzT8

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:3f7f7f7f7f7f7f7f
Perceptual Hash:80df9555559555c5
Difference Hash:d0c5c4d5c9d1d0d0
Wavelet Hash:3e3f370530003f3f
Color Hash:#ac536b

Other Hashes

Crop Resistant:e0490c2b0b010000,80c2c0c914000000

Scan History

Scan history not available

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