Security Scan Report: bafin.de

Redirected to:
https://www.bafin.de/DE/home_node.html
Submitted: Apr 11, 2026, 2:53:30 AMCompleted: Apr 11, 2026, 2:54:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is bafin.de.

Submitted URL: https://bafin.de

Effective URL: https://www.bafin.de/DE/home_node.htmlRedirected

The Cisco Umbrella rank of the primary domain is #154,790 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site appears to be the legitimate Bafin portal; no malicious activity detected, but unknown domain age and low ranking suggest moderate caution.

Risk Factors
Low Cisco Umbrella ranking for a brand site
Domain age unknown, preventing verification of establishment
Safety Factors
Consistent branding and meta description with official Bafin website
No malicious JavaScript or YARA pattern matches
No credential‑harvesting or payment collection forms
No redirects or cross‑origin credential submissions
Domain age information unavailable

Details

Page Title

Startseite - Bafin

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(86%)

Domain Information

Within the German country-code top-level domain (.de), 'bafin.de' is registered. Count 5 characters in 'bafin' containing two vowels alongside three consonants. Segmentation suggests two words: ba, fin. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bafin.de

Page Load Overview

2.68s
Total Load Time
35
HTTP Requests
2
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:40,996 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
86%
finance banking
83%
social media network
75%
corporate business
64%
news media journalism
60%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3580.245.145.113Cologne, North Rhine-Westphalia, Germany
AS35704ITZBund
351--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CF4FC61D0E13626212792B5E3F45B1ABFA5E993C542BC86F2EEC3146F93F024E1785C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:O6hhKZqG04DwrDZ8SZq9FqlHZqodI83oVhwP7hKps7w2HKwfJWh1xQlPhGWlu:Ot24ps7DKwfJWh1xQNlu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:734487:i32AICAoRGwi/yE1AccxJkQwm0SxYjBAVIlxKFACIKBBqNcRFqAUAMioAECEiIPAhogABMWKAxViBEEgQMyKVZ5jakKIYwSM

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:003c7e7e7e7e0c00
Perceptual Hash:90c27f9c6f3c90c6
Difference Hash:23dcdcdce4d0d81b
Wavelet Hash:007c7e7e7e7e1c00
Color Hash:#87a2c5

Scan History

Scan history not available

Unable to load historical scan data