Security Scan Report: vapestationeg-771me7rt95.edgeone.app

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Submitted: Mar 4, 2026, 10:58:00 AMCompleted: Mar 4, 2026, 10:59:09 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 1 HTTP transaction. The main domain is vapestationeg-771me7rt95.edgeone.app and was registered NaN years ago.

Submitted URL: https://vapestationeg-771me7rt95.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New subdomain with password‑only fields posting cross‑origin, low reputation – likely a credential‑phishing site.

Risk Factors
New subdomain on a free hosting platform (potentially created within 7 days)
Password fields without accompanying username/email fields
Cross‑origin credential submission to a different domain
Low domain ranking (455,732) and not in top 1 M
Presence of password‑only forms on a site with no legitimate login context
Domain age information unavailable

Details

Page Title

Vape Station

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(76%)

Domain Information

You're looking at domain 'vapestationeg-771me7rt95.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'vapestationeg-771me7rt95'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Word splitting yields 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://vapestationeg-771me7rt95.edgeone.app/

Page Load Overview

1.80s
Total Load Time
39
HTTP Requests
10
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:725 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
76%
technology software
43%
e-commerce shopping
40%
documentation technical
37%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.250.201.74United States
AS15169Google LLC
3142.251.127.94United States
AS15169Google LLC
343.152.26.58Singapore
392.113.23.227Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
3151.101.1.229Unknown
3104.18.1.22United States
AS13335Cloudflare, Inc.
3142.251.143.100United States
AS15169Google LLC
345.43.142.7United Kingdom
AS16276OVH SAS
3172.67.180.104United States
AS13335Cloudflare, Inc.
3142.250.186.67United States
AS15169Google LLC
3910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198734591AA84D12BF627812E65D0F7083AE9E507EDF3099CF01CD5508FC3E5E2A7E295

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/cly/mShRze8J0Ei7s2fIYfTMsElQzP+ExB6y80W7TtdrBIN2C33/8hRze8J0Eia:b/mlIYbVGn03/3IYbVGn03/fj5L3Qjn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79758:4CEGGSCATloU8AQj6KCxiAAIYlGKxKASAOIAhYSCASiIzgQByQUMIXHAwVjDQDuDAaQYkEHxBEEDDCIAIowUKrEJVkJDK5kB

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:00ffffffffffffff
Perceptual Hash:f7570a1866383a5e
Difference Hash:dd000c0c0c141c0c
Wavelet Hash:00e6c2c2e6e6c7e7
Color Hash:#7f79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data