Security Report: abstract-coffee-spymvi4o-dp7v6v8gimik.edgeone.dev - Analysis

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/068977b4-fb24-48d5-bb3a-2de8ec260c95 Domain and IP registration (RDAP)/api/v1/rdap/068977b4-fb24-48d5-bb3a-2de8ec260c95How often this domain was scanned/api/v1/domain/stats/abstract-coffee-spymvi4o-dp7v6v8gimik.edgeone.dev Scan history for this domain/api/v1/domain/history/abstract-coffee-spymvi4o-dp7v6v8gimik.edgeone.dev?limit=15

This website contacted 2 IPs in 1 country across 1 domain to perform 35 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://abstract-coffee-spymvi4o-dp7v6v8gimik.edgeone.dev/

AI Security Verdict

Confirmed Scam

Confidence: 92%

Risk Score

Decoy mirror of Vercel's Next.js site on a disposable edgeone.dev subdomain; YARA and kit-roster confirm the Meta Account Support Center IP-violation phishing kit routing to a /home credential funnel.

Risk Factors (5)

Known phishing kit identified by analyst-vetted roster and a CRITICAL YARA rule match

Disposable/shared hosting subdomain (edgeone.dev) of unknown creation date

Mirrored copy of a well-known developer site used as a decoy front page, with links/form redirected to a /home funnel

Brand of a different entity (Vercel/Next.js) presented without authorization on a mismatched domain

Off-page funnel path (/home 'Account Support Center') consistent with Facebook Page-takeover credential harvesting

Domain age information unavailable

Details

Page Title

Next.js by Vercel - The React Framework

Scan Type

public

Domain Name Analysis

The domain 'abstract-coffee-spymvi4o-dp7v6v8gimik.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'abstract-coffee-spymvi4o-dp7v6v8gimik'. Count 7 characters in 'edgeone' with four vowels and three consonants. Breaking it apart gives 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

8.14s

Total Load Time

545 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:7,801 chars

Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence

Type: spa

Method: ml+structural

All Detected Categories

technology software

72%

documentation technical

41%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
18	43.174.246.29	Singapore	AS139341ACE
17	43.174.247.29	Singapore	AS139341ACE
35	2	-	-

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:#8a53ac

Other Hashes

Crop Resistant:41220b0c0a001496

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: abstract-coffee-spymvi4o-dp7v6v8gimik.edgeone.dev