Security Scan Report: consent.app.cookieinformation.com

Submitted: Dec 6, 2025, 3:43:32 PMCompleted: Dec 6, 2025, 3:45:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is consent.app.cookieinformation.com and was registered NaN years ago.

Submitted URL: https://consent.app.cookieinformation.com/

The Cisco Umbrella rank of the primary domain is #33,407 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain
No suspicious content or redirects
No external links or third‑party domains
No credential or payment collection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇩🇪

German

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'consent.app.cookieinformation.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'consent.app'. The core label 'cookieinformation' covers 17 characters containing 9 vowels alongside 8 consonants. It segments into 2 words: cookie, information. The median word length lands at 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://consent.app.cookieinformation.com/

Page Load Overview

0.15s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:50%
Script Type:Latin
Text Length:21 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2128.251.218.65Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9C0C0F3D010880D9F3451F4C8423444CE04510CC0212F0071C0D0D4E404AE7804328C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYmR9EGvcJ0qa:qzxV/5VHHoB96D3ne1k9Ym7HcJ8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:8ce0cd989ccc29faa2eb28a9c7e56f2d

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#9ac587

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data