Security Scan Report: cheap-coffee-aynrdnuq7y-8yxsu4jikw.edgeone.app

Submitted: Feb 13, 2026, 6:02:42 PMCompleted: Feb 13, 2026, 6:03:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cheap-coffee-aynrdnuq7y-8yxsu4jikw.edgeone.app and was registered NaN years ago.

Submitted URL: https://cheap-coffee-aynrdnuq7y-8yxsu4jikw.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (> 365 days)
Low Cisco Umbrella ranking (455,732) but not indicative of malicious activity
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

cheap-coffee-aynrdnuq7y-8yxsu4jikw.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(32%)

Domain Information

Domain 'cheap-coffee-aynrdnuq7y-8yxsu4jikw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'cheap-coffee-aynrdnuq7y-8yxsu4jikw'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Splitting it apart reveals 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://cheap-coffee-aynrdnuq7y-8yxsu4jikw.edgeone.app/

Page Load Overview

3.00s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism32% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
32%

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

T15D048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Oldq:khoC9JSqzzbs6o3Sj3gcrsM2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184621:BCOAAQFNCSlAhhhoRYIAABEAEmGYSOUDEBANAtAlEkQZGcFUDBBvBCKCmWsSpRiCM9TBgCAv8MhGAAcCGAtT4JxzEIoEIQIh

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:f0d0c0c4f0f0f0f0
Color Hash:#d22dcd

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data