Security Scan Report: curly-coffee-i41ldunxbl-jwncbicl4c.edgeone.app

Submitted: Feb 25, 2026, 2:07:17 AMCompleted: Feb 25, 2026, 2:08:35 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 curly-coffee-i41ldunxbl-jwncbicl4c.edgeone.app and was registered NaN years ago.

Submitted URL: https://curly-coffee-i41ldunxbl-jwncbicl4c.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
HTTPS connection
Hosted on a known platform (edgeone.app) with no credential‑handling scripts
No cross‑origin credential exfiltration detected
Low Cisco Umbrella ranking but no brand impersonation or phishing content
Domain age information unavailable

Details

Page Title

Zênite Maintenance - Flex Suite

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

documentation technical

(99%)

Domain Information

The domain 'curly-coffee-i41ldunxbl-jwncbicl4c.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'curly-coffee-i41ldunxbl-jwncbicl4c'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://curly-coffee-i41ldunxbl-jwncbicl4c.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
9 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:67%

Website Classification

Primary Category

documentation technical99% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
99%
government public service
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

T13692D76331F510316997A5A97763CB4A3524C113EA0646247FBC65C0CF8EEE589FBB8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:cLdcFuP3k2qPDVVb3u6JDUvilE8lTkxTbbJu0gr8MuC0Cr4sLENMJ+sgGU4tUILi:cGdXFxlTXdr4VmDatL3dzWJNr/e9wC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19482:hAACAgFA+EYAhIYNhxMWBiGRUqJCkhA5BVDjAZkMSgoJOgZUCMRAIYEBAFAKOZQqINwFMEAHCAJBMAQRluAZAAwNGiYHJCRA

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:003c3c1c3c3c3c00
Perceptual Hash:9b3164ce319b31ce
Difference Hash:9e69797969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#9ae06c

Scan History

Scan history not available

Unable to load historical scan data