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Security Scan Report: dkwin-tm-vip-hacks-gqxyq4eivi.edgeone.dev

Submitted: Dec 20, 2025, 2:40:05 PMCompleted: Dec 20, 2025, 2:40:37 PMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 10 domains to perform 48 HTTP transactions. The main domain is dkwin-tm-vip-hacks-gqxyq4eivi.edgeone.dev and was registered NaN years ago.

Submitted URL: https://dkwin-tm-vip-hacks-gqxyq4eivi.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Site is unranked and recent with a suspicious title, but lacks direct malicious indicators; treat as moderate risk.

Risk Factors
Recent, low‑reputation domain with no established ranking
Unranked domain combined with suspicious hacking‑related title
Safety Factors
No credential or payment forms detected on the page
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

TM VIP HACK GREEN

Scan Type

public

Language

🇩🇪

German

(43% confidence)

Category

technology software

(48%)

Domain Information

You're looking at domain 'dkwin-tm-vip-hacks-gqxyq4eivi.edgeone.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'dkwin-tm-vip-hacks-gqxyq4eivi'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Splitting it apart reveals two 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 https://dkwin-tm-vip-hacks-gqxyq4eivi.edgeone.dev/

Page Load Overview

3.04s
Total Load Time
48
HTTP Requests
10
Domains
528 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:en
Text Length:126 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

technology software48% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
48%
government public service
46%
healthcare medical
40%
adult content
37%
finance banking
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12188.114.96.3United States
AS13335CLOUDFLARENET
4104.16.79.73United States
AS13335CLOUDFLARENET
443.174.247.29Singapore
AS139341ACE
4142.250.184.234United States
AS15169GOOGLE
4142.251.141.74United States
AS15169GOOGLE
4142.250.185.168United States
AS15169GOOGLE
446.105.222.81Lille, Hauts-de-France, France
AS16276OVH SAS
4188.114.97.3United States
AS13335CLOUDFLARENET
4104.16.80.73United States
AS13335CLOUDFLARENET
443.174.246.29Singapore
AS139341ACE
4810--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C922B672A117183A9097D2BA7AE3E39E3124A007F5078A6C3DFC1484DF5EDC9A52B75C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EQynEvBM5emDdal6+o3KaAjIr9ZgIbwGPSQ+Ls7PezelBUukKo+bj:EQWEpOemC6e9ogwBpes7PQoOpKoO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10222:aWBCDCwF2AAaUKAQl4C7BiIKQSAglopEojQAIKCA2IegJAArR9iILQYpYRSIghKhAD8ymLEtnMKAhFhaEsABNIFAIyqB1gEE

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:862ff0f0d22f7807
Difference Hash:d064646cecd4d4d4
Wavelet Hash:1800183e3e7e7e7e
Color Hash:#da6ce0

Other Hashes

Crop Resistant:d064646cecd4d4d4,fef7968e8e97fbfe,7131715d51ccce79

Scan History

Scan history not available

Unable to load historical scan data