Security Scan Report: superlative-fox-19a139.netlify.app

Redirected to:
https://accounts-dk-redirection.91-218-65-223.plesk.page/noreply/index...
Submitted: Sep 3, 2026, 5:51:02 PMCompleted: Sep 3, 2026, 5:52:23 PMpubliccompleted

Summary

This website contacted 7 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is accounts-dk-redirection.91-218-65-223.plesk.page and was registered 8 years ago.

Submitted URL: https://superlative-fox-19a139.netlify.app/feds.html

Effective URL: https://accounts-dk-redirection.91-218-65-223.plesk.page/noreply/index.phpRedirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Page shows an access denied error, has no forms or malicious indicators, and is hosted on an unknown-age unranked subdomain, resulting in low risk.

Safety Factors
No credential collection
No malicious network alerts (only a medium informational IDS alert)
No brand impersonation
Domain age information unavailable

Details

Page Title

accounts-dk-redirection.91-218-65-223.plesk.page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(70%)

Domain Information

Domain 'superlative-fox-19a139.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'superlative-fox-19a139'. Its registrable label 'netlify' stretches across 7 characters containing two vowels alongside five consonants. Splitting it apart reveals three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of accounts-dk-redirection.91-218-65-223.plesk.page

Page Load Overview

4.57s
Total Load Time
15
HTTP Requests
5
Domains
15 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:236 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking70% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
70%
cryptocurrency blockchain
69%
news media journalism
65%
government public service
65%
adult content
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3108.138.7.5Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2108.138.7.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2185.27.134.55United Kingdom
AS34119Wildcard UK Limited
2172.67.71.120Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
291.218.65.223Frankfurt am Main, Hesse, Germany
AS44486SYNLINQ
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
157--

Page Statistics

15
Requests
5
Unique Domains
20.2 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T172048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Y/Qho9PKBbl8Vrq9Jzbs6tlg1ySBKw4Q9gcoIsPA2bMy8Old3:5hoCl8Bqzzbs6okSCggcpso2eAZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185505:gemwEqwgCogEJCBiSCKgACAGdzAyiKBQoAAOgQigQYVGDIEAPMijA+AROjhCI2iliSAShOcAIgvQYSRcESQZCUhAxKBGQwFA

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:ffc3c7d3f3ffffff
Perceptual Hash:e1319acccc6d3333
Difference Hash:00140c1606000000
Wavelet Hash:ffdfc3c300000000
Color Hash:#1f2393

Other Hashes

Crop Resistant:00140c1606000000

Scan History

Scan history not available

Unable to load historical scan data