Security Scan Report: xenial-coffee-ijakqucomk-z14yzri90u.edgeone.app

Submitted: Feb 24, 2026, 10:20:26 AMCompleted: Feb 24, 2026, 10:21:43 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is xenial-coffee-ijakqucomk-z14yzri90u.edgeone.app and was registered NaN years ago.

Submitted URL: https://xenial-coffee-ijakqucomk-z14yzri90u.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

healthcare medical

(29%)

Domain Information

Domain 'xenial-coffee-ijakqucomk-z14yzri90u.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'xenial-coffee-ijakqucomk-z14yzri90u'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xenial-coffee-ijakqucomk-z14yzri90u.edgeone.app/

Page Load Overview

0.81s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:125 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical29% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
29%
news media journalism
27%
download file sharing
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E02D8CAEB9305C9A81BC0682FFF5714222DE057C848CD5DB99E5F548F4518475EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBKGIMjh1RaXQl:KrzhNK/lMHmGgdkq0IMjd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8843:IDWC1nACBQMQNJWcQU3QlAAiSISEnQQIMFQZEAACiD6Sh4kICMR0wwKgCYeCANaAmTidVQAmSEB6BAtBAgImCCoCOKeWJAEB

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:dcfcfcd0e0e0c0c0
Perceptual Hash:de9a989838696367
Difference Hash:3034400000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#5391ac

Other Hashes

Crop Resistant:3034400000000000

Scan History

Scan history not available

Unable to load historical scan data