Security Scan Report: consent.giga.de

Site favicon
Submitted: Jul 17, 2026, 4:58:00 PMCompleted: Jul 17, 2026, 4:59:41 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is consent.giga.de.

Submitted URL: https://consent.giga.de

The Cisco Umbrella rank of the primary domain is #246,882 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

documentation technical

(38%)

Domain Information

The domain name 'consent.giga.de' uses the German country-code top-level domain (.de) with subdomain 'consent'. Its registrable label 'giga' stretches across 4 characters holding two vowels versus 2 consonants. Breaking it apart gives one word: giga. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://consent.giga.de

Page Load Overview

0.26s
Total Load Time
2
HTTP Requests
1
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:456 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
38%
cryptocurrency blockchain
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2143.204.181.66Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE517976DA931865113BC8E116FFA75632DAC037D09A7215FB9C53CDCFC9D407921505

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9Dk1ncqugukVPANyAgN+mFFNKKertF:niFWN15AN427zMczgumPANhgNrLNFer7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2896:ACAAEAgEgAAAjkAAEQEAgYAABEgIBAQgAAAAJCCCAoEEBAAACEKIAZJAAAAEAAAAABwCAAAAUClAACAQCAAAARQBAQACCAJB

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:001fffffffffffff
Perceptual Hash:991919191d1f1e7e
Difference Hash:f8d0000000000000
Wavelet Hash:000fffff00000000
Color Hash:#ac9153

Other Hashes

Crop Resistant:f8d0000000000000

Scan History

Scan history not available

Unable to load historical scan data