Security Scan Report: mr-grend-ai-hgnice-dkwin-combo-dp44wb08isl0.edgeone.dev

Submitted: Aug 31, 2026, 11:40:13 AMCompleted: Aug 31, 2026, 11:41:46 AMpubliccompleted

Summary

This website contacted 10 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is mr-grend-ai-hgnice-dkwin-combo-dp44wb08isl0.edgeone.dev and was registered 21 years ago.

Submitted URL: https://mr-grend-ai-hgnice-dkwin-combo-dp44wb08isl0.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The page hosts a password-only form on an unknown-age subdomain without brand impersonation, indicating moderate risk of credential harvesting.

Risk Factors
Credential form with password-only field
Unknown-age subdomain on shared hosting platform
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
No malicious JavaScript patterns detected
No external credential exfiltration observed
No payment fields or external form submissions
Domain age information unavailable

Details

Page Title

𝐆𝐑𝐄𝐍𝐃 𝐉𝐀𝐏𝐀𝐍𝐈 𝐀𝐢 𝐇𝐚𝐜𝐤

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(49%)

Domain Information

The domain 'mr-grend-ai-hgnice-dkwin-combo-dp44wb08isl0.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'mr-grend-ai-hgnice-dkwin-combo-dp44wb08isl0'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 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

Security scan screenshot of api.dkwinapi.com

Page Load Overview

2.64s
Total Load Time
36
HTTP Requests
8
Domains
376 KB
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:272 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical49% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
49%
technology software
44%
government public service
34%
gambling betting
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.14.95Google · CDNUnited States
AS15169Google LLC
345.43.142.2United Kingdom
AS16276OVH SAS
343.174.246.29Singapore
3104.21.1.251Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.31.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
345.43.142.5United Kingdom
AS16276OVH SAS
3104.18.3.89Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3172.67.128.109Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3610--

Page Statistics

36
Requests
8
Unique Domains
1.4 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E602947161003119B637C6C5B9A177DF3050CA17E663465CDBAA61EACFC68EB8A38704

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:J1YQimWLJq9sOFqjKlL61dOx746U6S1fbFyOcjvZyOTcBynsBKf+5H:0QBFioNBQMNTsQ8H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8368:yFjKgBB1qSBQoANZSagSQhVCAmUcHRoAoUGYRMIpSUYQFwAEAEgUUQe0UPIAEJwl6SJg9PQQUyARQCEgzFJAoEAUMJ1QJIUK

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:1818181818181818
Perceptual Hash:d962666625269d9d
Difference Hash:b2b3b2b2b2b2b2b2
Wavelet Hash:1b19181838383838
Color Hash:#4064bf

Other Hashes

Crop Resistant:b2b3b2b2b2b2b2b2

Scan History

Scan history not available

Unable to load historical scan data