Security Scan Report: www.giga-hamburg.de

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is giga-hamburg.de and was registered 5 months ago.

Submitted URL: https://www.giga-hamburg.de/en/press/lula-vs-bolsonaro-ii-2026-general-elections-in-brazil

The Cisco Umbrella rank of the primary domain is #494,153 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Vercel bot-protection checkpoint on the giga-hamburg.de research institute domain. No forms, no threat-intel, YARA or IDS hits, no cross-origin scripts; nothing malicious observed.

Safety Factors (4)
No IoC / YARA / Safe Browsing / IDS hits on the page or its resources
No credential or payment forms; no cross-origin form submissions
JavaScript confined to the site's own domain; the WebAssembly module is the recognized vercel-security-challenge bot filter
No obfuscated exfiltration logic or DevTools/right-click blocking beyond the standard challenge script
Domain age information unavailable

Details

Page Title

Vercel Security Checkpoint

Scan Type

public

Domain Name Analysis

Within the German country-code top-level domain (.de), 'www.giga-hamburg.de' is registered; it also runs on subdomain 'www'. Its registrable label 'giga-hamburg' stretches across 12 characters split between four vowels and seven consonants, notching 1 hyphen. Word splitting yields 2 words: giga, hamburg. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.giga-hamburg.de/en/press/lula-vs-bolsonaro-ii-2026-general-elections-in-brazil

Page Load Overview

0.20s
Total Load Time
34 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
technology software
47%
news media journalism
33%
cryptocurrency blockchain
31%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.12.28Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.13.28Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.69.164Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DE2C644A34AE08B7316346F40AD153A79F3BB127D81E110EA21DD95FBB967200ADE7F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WfL7KSd9rA/TC9hwAPe8/VKLEb72hM0aKNkGfcrYkf0QQPMV:WfLjd9rA29hw69tKLEX2hBTfnkfKe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32971:oILJAhGwcQIAZBICkTgACRMAYTMACItBQiEwVKCyQBqgoCEZQaIjKhYWAEVZQBENUARxCiqFJG1FkoECPqMAAAinACNxCwOW

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:ffffffe7e7ffffe3
Perceptual Hash:e699cc9966934c99
Difference Hash:0000000c08000004
Wavelet Hash:fcfcfce420303c00
Color Hash:#d279c1

Other Hashes

Crop Resistant:0000000c08000004

Scan History

Scan history not available

Unable to load historical scan data