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Security Scan Report: immense-coffee-y0wirqwhar-txon55qpkd.edgeone.app

Submitted: Feb 26, 2026, 7:09:37 AMCompleted: Feb 26, 2026, 7:10:52 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 immense-coffee-y0wirqwhar-txon55qpkd.edgeone.app and was registered NaN years ago.

Submitted URL: https://immense-coffee-y0wirqwhar-txon55qpkd.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Page content limited to a file collection name, no suspicious text
Hosted on a known platform (edgeone.app) without any malicious behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'immense-coffee-y0wirqwhar-txon55qpkd.edgeone.app' is registered with subdomain 'immense-coffee-y0wirqwhar-txon55qpkd'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals two 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://immense-coffee-y0wirqwhar-txon55qpkd.edgeone.app/

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:57 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B02C5CAEBA305C9A82BC0682FFF5724222DE067C448CD5DB99E5F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBJ5Mh1RaXQl:KrzhNK/lMHmGgdkqpd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8712:KScK13BCBQOQNBUcAU2AxAAiagCkDSQoc1IJiAgCqDKQQIkMAMR0wwKQTYciJNbAwTicVQAmaFheFApBOAoGCCsDOCaWAIER

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#6c8de0

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data