Security Report: inappropriate-coffee-2kklqkwi-dpum9lh4b6dl.edgeone.dev - Analysis

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/cac8ec4e-3f99-4990-9ac0-1d71cbf10b8e Domain and IP registration (RDAP)/api/v1/rdap/cac8ec4e-3f99-4990-9ac0-1d71cbf10b8eHow often this domain was scanned/api/v1/domain/stats/inappropriate-coffee-2kklqkwi-dpum9lh4b6dl.edgeone.dev Scan history for this domain/api/v1/domain/history/inappropriate-coffee-2kklqkwi-dpum9lh4b6dl.edgeone.dev?limit=15

This website contacted 1 IP in 1 country across 1 domain to perform 43 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://inappropriate-coffee-2kklqkwi-dpum9lh4b6dl.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 88%

Risk Score

Decoy mirror of the Next.js/Vercel site on a disposable edgeone.dev host, matching an analyst-vetted Meta Page-takeover phishing kit with a CRITICAL YARA hit; its /home funnel is the kit's lure stage.

Risk Factors (5)

Known malicious phishing kit identified by analyst-vetted roster (Meta Account Support IP-violation kit)

CRITICAL-severity YARA rule match for phishing kit on page HTML

Cloned/mirrored copy of the Vercel/Next.js website on an unrelated disposable hosting subdomain

Form submission routed to the kit's '/home' funnel path rather than a legitimate subscription endpoint

IDS phishing alert for mirrored website content

Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

You're looking at domain 'inappropriate-coffee-2kklqkwi-dpum9lh4b6dl.edgeone.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'inappropriate-coffee-2kklqkwi-dpum9lh4b6dl'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Word splitting yields two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

2.81s

Total Load Time

889 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:7,787 chars

Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence

Type: spa

Method: ml+structural

All Detected Categories

technology software

75%

documentation technical

47%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
43	43.174.246.29	Singapore	AS139341ACE
43	1	-	-

Detected Technologies1

React

30%

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:#87c5a4

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: inappropriate-coffee-2kklqkwi-dpum9lh4b6dl.edgeone.dev