Security Scan Report: geographical-coffee-dw6qerya-dpmp0m9fac7g.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 49 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://geographical-coffee-dw6qerya-dpmp0m9fac7g.edgeone.dev/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Clone of the Next.js/Vercel site on a disposable edgeone.dev subdomain, matching a vetted Meta page-takeover phishing kit (YARA + roster); form posts funnelled to /home. Avoid.

Risk Factors (5)
Hosts a known, analyst-vetted Facebook/Meta page-takeover phishing kit
Cloned Next.js/Vercel site on a mismatched, unranked edgeone.dev subdomain (brand impersonation)
Form action rewritten to '/home', the documented funnel of this kit family
Obfuscatory encoding/decoding JavaScript in inline scripts
Disposable shared-hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'geographical-coffee-dw6qerya-dpmp0m9fac7g.edgeone.dev' is registered with subdomain 'geographical-coffee-dw6qerya-dpmp0m9fac7g'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geographical-coffee-dw6qerya-dpmp0m9fac7g.edgeone.dev/

Page Load Overview

2.55s
Total Load Time
991 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,797 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.174.246.29Singapore
2443.174.247.29Singapore
492--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150C1ED039CED8E197862A4C1C912F34DE54EA133D4244D5EF22CB4AA2F48DDA239F57E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:S/mW7WJWAWZW5GzcMp3RFRiXcVvr9nqOfmgVTDZqZJ5ORg2r:SOW7WJWAWZW5GzcMp3RFRiXcVvr9nqOp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5946:GIAwDoMjACKSCBIIAIsAwIAEIDCIAgASEoCHACoXRMkaiCACAADAAlQCBASBBEkCCAMIOeKwgXAAYZ4EVwNlBAggAEAUQYBB

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:fcc381efe7ffffcf
Perceptual Hash:b368ccc393cc683b
Difference Hash:41220b0c0a001496
Wavelet Hash:888081c3e7f7ff42
Color Hash:#86562d

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data