Security Scan Report: dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev

Redirected to:
https://dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev/
Submitted: Oct 1, 2026, 1:45:34 PMCompleted: Oct 1, 2026, 1:46:55 PMpubliccompleted

This website contacted 9 IPs in 3 countries across 3 domains to perform 10 HTTP transactions. The main domain is dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev and was registered 16 years ago.

Submitted URL: http://dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev/

Effective URL:

https://dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Spotify phishing kit on a free edgeone.dev subdomain stealing login credentials and card data and exfiltrating them to an external Telegram/Workers endpoint, with DevTools blocking to evade analysis.

Risk Factors (6)
Credentials POSTed to external attacker-controlled endpoint (Telegram relay via Cloudflare Workers)
Brand impersonation of Spotify on a non-official, unranked subdomain
Password field plus card-detail fields presented as a fake login/payment verification flow
DevTools, right-click and view-source blocking to frustrate analysis
Client IP enumeration via api.ipify.org alongside exfiltration
Free instant-publishing hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

spotify

Scan Type

public

Domain Name Analysis

Domain 'dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'dead-coffee-vczxixdn-dpwj3cuq93cf'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Segmentation suggests 2 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 http://dead-coffee-vczxixdn-dpwj3cuq93cf.edgeone.dev/

Page Load Overview

6.07s
Total Load Time
267 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,730 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network96% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
96%
adult content
61%
entertainment media
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
145.43.142.3United Kingdom
AS16276OVH SAS
143.174.246.29Singapore
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
145.43.142.6United Kingdom
AS16276OVH SAS
145.43.142.4United Kingdom
AS16276OVH SAS
145.43.142.8United Kingdom
AS16276OVH SAS
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
109--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE53B96632F2093509E792FA73D29F887625C183DD0BC529BA6C85019F83ED1AD637DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:o5hnUjr9r+WbQYWGsg7LO57557CT957kX57toOCkAmVIqEJGmyqiLI8MnjhUXARK:2hIsCLObS9KXXoNxC8njhptMgXJN4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62267:CclTAB1TFAC8KQAlBYQKxq6Ug0HREBCwQAjr14FK0QBMsKBgAAJVAQSBEBHWAkoIEkQN4AII1BCypjAqhgAAaFAASA8IFKxc

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:0119191919191901
Perceptual Hash:88cf337331992667
Difference Hash:0d3131b331313131
Wavelet Hash:0d3d3f3f19191919
Color Hash:#acd279

Other Hashes

Crop Resistant:0d31313331313111

Scan History

Scan history not available

Unable to load historical scan data