Security Scan Report: dkwin-hack-of-tmvip-1ykn2ec7ah.edgeone.dev

Submitted: Dec 22, 2025, 1:30:20 AMCompleted: Dec 22, 2025, 1:30:27 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is dkwin-hack-of-tmvip-1ykn2ec7ah.edgeone.dev and was registered NaN years ago.

Submitted URL: https://dkwin-hack-of-tmvip-1ykn2ec7ah.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Site shows minor risk due to unranked, recent domain and hack‑related title, but no direct malicious activity detected.

Risk Factors
UNRANKED domain status
Recent domain registration (< 6 months)
Suspicious page title suggesting hacking activity
Safety Factors
No forms collecting passwords, payment, or personal credentials
No malicious Indicators of Compromise matches found
No external links or redirects detected
Domain age information unavailable

Details

Page Title

TM VIP HACK GREEN

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

You're looking at domain 'dkwin-hack-of-tmvip-1ykn2ec7ah.edgeone.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'dkwin-hack-of-tmvip-1ykn2ec7ah'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dkwin-hack-of-tmvip-1ykn2ec7ah.edgeone.dev/

Page Load Overview

3.73s
Total Load Time
0
HTTP Requests
0
Domains
N/A
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:116 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
government public service
44%
healthcare medical
44%
adult content
42%
finance banking
39%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB32C7726123283A6097C66A7AE3A35D31386003F607997D3DBC0584CF8EEC9927775D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:cQZSoUvBM5qstdabUcolOcGj0rNpQIdAHaJPSN+Ls7PezelB0z+rvhVfREzj:cQcoUpOqsgUKt6QO+a9kes7PQoyCrvhw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11284:7BRrKSExGgxqMIGYITdKjmCAUCAYAWi4AOVeJElFTAoAmrEuACIBBsqhBUCxA5ASxWQgURkEKQwhBlBAdCAaVEACgQpCJFxB

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:7c3c1c3e3e7e7e7e
Perceptual Hash:862ff0f0d62f6807
Difference Hash:d064646cecd4d4d4
Wavelet Hash:1800183e3e7e7e7e
Color Hash:#6c9ee0

Scan History

Scan history not available

Unable to load historical scan data