Security Scan Report: lost-coffee-gkgz0pxak9-3rwipjyyxo.edgeone.app

Submitted: Mar 17, 2026, 2:35:40 PMCompleted: Mar 17, 2026, 2:37:02 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is lost-coffee-gkgz0pxak9-3rwipjyyxo.edgeone.app and was registered NaN years ago.

Submitted URL: https://lost-coffee-gkgz0pxak9-3rwipjyyxo.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 malicious activity detected; the site appears benign.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No suspicious JavaScript behavior
Hosting platform subdomain but no malicious activity observed
Domain age information unavailable

Details

Page Title

Happy Birthday

Scan Type

public

Language

🇮🇩

ID

(29% confidence)

Category

healthcare medical

(85%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lost-coffee-gkgz0pxak9-3rwipjyyxo.edgeone.app' is registered with subdomain 'lost-coffee-gkgz0pxak9-3rwipjyyxo'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lost-coffee-gkgz0pxak9-3rwipjyyxo.edgeone.app/

Page Load Overview

0.65s
Total Load Time
6
HTTP Requests
1
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:29%
Script Type:Unknown
Text Length:327 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical85% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
85%
adult content
67%
blog personal website
40%
government public service
39%
finance banking
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1941154165E05F57B00C763676581F41C39D897001B8A97A487D6D7AB0FB4F42DC4F44E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:haACniWHMf56dgK05Hzmq7gONoRekQ3mQoj1VfnJ7LRRdA1I:mG56sgqEDgkQyJ7Ln

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:965:EIAAAAQAAQAAAAQEAIAAAAAAAAAAAgAAQAAAAAAABBAAAAAAAAAAAAAACQAAgAAQACAAAACAACAAAQAAAAAYAAAICAEAAQAA

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:3800001818181800
Perceptual Hash:9c3663c9639c3c36
Difference Hash:e04c32b2b2b2b204
Wavelet Hash:7e7eff1f58181800
Color Hash:#d279b5

Scan History

Scan history not available

Unable to load historical scan data