Security Scan Report: creepy-coffee-thnfaf61us-sa78e38rn7.edgeone.app

Submitted: Feb 25, 2026, 6:31:52 AMCompleted: Feb 25, 2026, 6:33:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is creepy-coffee-thnfaf61us-sa78e38rn7.edgeone.app and was registered NaN years ago.

Submitted URL: https://creepy-coffee-thnfaf61us-sa78e38rn7.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: 93%

2
Risk Score

No suspicious activity detected; site appears legitimate and low risk.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Low JavaScript obfuscation, no malware signatures
Hosted on reputable platform (edgeone.app) without red flags
Content appears to be a legitimate internal maintenance portal
Domain age information unavailable

Details

Page Title

Zênite Maintenance QR Pro 2.0

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

documentation technical

(98%)

Domain Information

The domain 'creepy-coffee-thnfaf61us-sa78e38rn7.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'creepy-coffee-thnfaf61us-sa78e38rn7'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://creepy-coffee-thnfaf61us-sa78e38rn7.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-br
Text Length:602 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical98% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
98%
technology software
57%

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

T10F62D72335F510216997B1A936A3CF4A3424D203E60686647FAD65C0CFCEEE589FB79C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:eLdcFuP3pD+2qPD4Pb9u2j5lE8lTYxTbqHu0ZUPr5GsLENMJJ0/m5twsLr8BJv9M:eGG+8B1xllUCF9XzOsur2C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15575:ICoEBqBTAQRENJAoAyAYBpFQhAXLISADkQdCwwAgOpIABhADHA54zgeAIIg8YYIYSgJgQtJUEANUCISMKQAIiGggBQZAIUQu

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:001c0c3c3c3c3c00
Perceptual Hash:9b3164ce649b319b
Difference Hash:2669596969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#d2798f

Scan History

Scan history not available

Unable to load historical scan data