Security Scan Report: vfde.tobi.aws.de.vodafone.com

Submitted: Aug 19, 2026, 7:23:12 PMCompleted: Aug 19, 2026, 7:24:23 PMpubliccompleted

This website contacted 1 IP in 1 country across 2 domains to perform 22 HTTP transactions. The main domain is vfde.tobi.aws.de.vodafone.com and was registered 28 years ago.

Submitted URL: https://vfde.tobi.aws.de.vodafone.com

The Cisco Umbrella rank of the primary domain is #34,277 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=24) on well-ranked domain #34,277.

Safety Factors (3)
Well-established domain (ranked #34,277)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

TOBi - Dein digitaler Assistent

Scan Type

public

Domain Name Analysis

You're looking at domain 'vfde.tobi.aws.de.vodafone.com' on the commercial generic top-level domain (.com) with subdomain 'vfde.tobi.aws.de'. The registrable portion 'vodafone' spans 8 characters holding four vowels versus four consonants. Segmentation suggests one word: vodafone. Median word length is 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vfde.tobi.aws.de.vodafone.com

Page Load Overview

1.45s
Total Load Time
385 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:138 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
61%
technology software
60%
adult content
42%
government public service
39%
healthcare medical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2218.196.109.199Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
221--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17041109C8CF3846AA162226656BFF1143BB5006B6120D4013ECCC96C9F70F9E557BFC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Uupmpnq+IxiWp8Yx/YAP3iDfK8WSEAjaC:UuoZkVaASEpC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2215:IgAEIARAAkAQAAABAAQAYAIpAAAAAgEAEACBAAIAAFAAAAEggAIAAAgAAggAAAACAAQSAhACAIQACAAAgEQAIAAAAFAIgIAA

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:ffffffe7e7ffffe7
Perceptual Hash:e666998966669999
Difference Hash:0000000c0c000008
Wavelet Hash:007c7e667e7e7a00
Color Hash:#799ad2

Other Hashes

Crop Resistant:0000000c0c000008

Scan History

Scan history not available

Unable to load historical scan data