Security Scan Report: volksbank-allgaeu-oberschwaben.meinplus.de

Redirected to:
https://volksbank-allgaeu-oberschwaben.meinplus.de/
Site favicon
Submitted: Aug 31, 2026, 3:26:34 AMCompleted: Aug 31, 2026, 3:27:45 AMpubliccompleted

Summary

This website contacted 12 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is volksbank-allgaeu-oberschwaben.meinplus.de and was registered 13 years ago.

Submitted URL: http://volksbank-allgaeu-oberschwaben.meinplus.de/

Effective URL: https://volksbank-allgaeu-oberschwaben.meinplus.de/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site displays a bank brand on an unrelated, unranked domain but lacks credential or payment collection; risk is low.

Risk Factors
Brand name displayed on a mismatched, unranked domain
Safety Factors
No credential or payment collection forms
No malicious IoC or malware detections
Long‑standing domain age
Domain age information unavailable

Details

Page Title

Volksbank Allgäu-Oberschwaben eG | Homepage

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

e-commerce shopping

(96%)

Domain Information

The domain name 'volksbank-allgaeu-oberschwaben.meinplus.de' uses the German country-code top-level domain (.de), featuring subdomain 'volksbank-allgaeu-oberschwaben'. Its registrable label 'meinplus' stretches across 8 characters containing three vowels alongside 5 consonants. Word splitting yields two words: mein, plus. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of api-iam.intercom.io

Page Load Overview

2.28s
Total Load Time
44
HTTP Requests
7
Domains
2.4 MB
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:2,638 chars
Detector Agreement:75%

Website Classification

Primary Category

e-commerce shopping96% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
96%
blog personal website
96%
finance banking
95%
government public service
91%
social media network
88%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1118.159.162.229Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
313.226.247.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
352.2.111.254Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
313.226.247.98Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
365.9.130.19Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
33.174.46.20Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.226.247.141Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
33.174.46.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4412--

Page Statistics

44
Requests
7
Unique Domains
3.2 MB
Total Size

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD6243E3C814A26527063296C63B234A9153804EEF21ED8872DD4755E398DE275B3FFB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ou6fxkkxk+KOEn8tiIS7oYc+/2lgisDmOj1VP0T9VoGin9eZ+ogXB:o93YMT9V5cgo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15430:ACXAAAqEmEggCFrAAVAYICoppYAxARAKJKUTAEhQQQQoWCAgBABQHFMZmyGRUoAARkgINvQoBsTMAAEVCGCFQADihBGgIEBV

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:9dffff93d393f3df
Perceptual Hash:ec93926c691a6ec3
Difference Hash:21283c323626163a
Wavelet Hash:949efe838181f38b
Color Hash:#69ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data