Security Scan Report: realistic-white-zjwh1yws7z-szxe0jgu5r.edgeone.dev

Submitted: Dec 19, 2025, 8:37:07 PMCompleted: Dec 19, 2025, 8:37:09 PMpubliccompleted
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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 realistic-white-zjwh1yws7z-szxe0jgu5r.edgeone.dev and was registered NaN years ago.

Submitted URL: https://realistic-white-zjwh1yws7z-szxe0jgu5r.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Brand impersonation page on untrusted domain; high risk of phishing.

Risk Factors
Brand impersonation on an unrelated domain
Exposure of internal credentials in page content
Use of localhost API URLs suggesting insecure configuration
Domain age information unavailable

Details

Page Title

KGF | Yabancı Yatırımcı Kefalet (Soscapital)

Scan Type

public

Language

🇮🇩

ID

(43% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'realistic-white-zjwh1yws7z-szxe0jgu5r.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'realistic-white-zjwh1yws7z-szxe0jgu5r'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Splitting it apart reveals 2 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://realistic-white-zjwh1yws7z-szxe0jgu5r.edgeone.dev/

Page Load Overview

0.92s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:43%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:43%
Script Type:Unknown
HTML Lang Attribute:tr
Text Length:48 chars
Detector Agreement:100%
Language mismatch: Declared as tr but detected as id

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T15A82D67150F22439A83388DA75E6402E34E69607E9178500BAADE5C11FCFFA3DBBB15D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Orm5cD06eILHOfD7UZf3pTE0VxEalm3+EAdxtynHQ7oMEgViIEalm3mgh6KPNDUy:Orm/WuP6Wr9+XtyIoJ5B9mghz5oySzxM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17980:BoFkEQNBweqAIlSIUGH2QgFrQnDlEgRBEQBLgEAIgU2EBA0xE8OiAUmRlGKQ26CCEEjEgIWkoAwCymICAJPVWEUIGKFmCKcC

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:3d7f7f7d71000303
Perceptual Hash:82da3f6a67354a94
Difference Hash:65f5b1c58585bdcf
Wavelet Hash:3d7f7f7f01010303
Color Hash:#acbf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data