Security Scan Report: oeeollo.online

Redirected to: https://oeeollo.online/service/DUVzTTavlOw/tvy8bLZEBUCIEOk5vONZY4J2?

Submitted: Nov 26, 2025, 2:57:14 AMCompleted: Nov 26, 2025, 2:59:58 AMpubliccompleted
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Summary

This website contacted 25 IPs in 2 countries across 6 domains to perform 48 HTTP transactions. The main domain is oeeollo.online and was registered NaN years ago.

Submitted URL: https://oeeollo.online/service/

Effective URL: https://oeeollo.online/service/DUVzTTavlOw/tvy8bLZEBUCIEOk5vONZY4J2?Redirected

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating Volksbank Raiffeisenbank; do not trust.

Risk Factors
Brand impersonation on a newly registered domain
Critical domain age (< 7 days) with 3× risk multiplier
Unranked domain with no Cisco Umbrella reputation
Page title and OCR text mimic a legitimate financial institution
Domain age information unavailable

Details

Page Title

Google

Scan Type

public

Language

🇩🇪

German

(54% confidence)

Category

legitimate website

(61%)

Domain Information

You're looking at domain 'oeeollo.online' on the modern generic top-level domain (.online) with no subdomain. Its registrable label 'oeeollo' stretches across 7 characters with five vowels and 2 consonants. It segments into 4 words: o, ee, oll, o. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oeeollo.online/service/

Page Load Overview

0.50s
Total Load Time
48
HTTP Requests
6
Domains
4.7 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:54%
Script Type:Latin
Text Length:383 chars
Detector Agreement:100%

Website Classification

Primary Category

legitimate website61% confidence
Type: static
Method: ml+structural

All Detected Categories

legitimate website
61%
other
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4031.220.80.250Düsseldorf, North Rhine-Westphalia, Germany
AS51167Contabo GmbH
3151.101.65.229San Francisco, California, United States
AS54113FASTLY
2142.250.184.227United States
AS15169GOOGLE
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1104.17.24.14United States
AS13335CLOUDFLARENET
1151.101.193.229San Francisco, California, United States
AS54113FASTLY
1142.250.181.234United States
AS15169GOOGLE
12a04:4e42:600::485United States
AS54113FASTLY
12a04:4e42:400::485United States
AS54113FASTLY
4825--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143546D71A2403C3B64138E91A2EE6F0D3C36E627EC164AF875D1E970DBE1DB1112675D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OoLz7lgBgD1U4cX3Z0Fag3YukeufGAXv/IHIxU1Qat2WEle7uBxHwyTX8qcBxnaH:0q1U93ZBOAIh2fk2lM/IfpbUIk5tEr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:288954:GKQ4miixMFyfRoBgIoYIKFsUNpUQeCEEUHChEEKKgB2e4gSAACACgFgYAS4mEyQglEQggEKAETFEcRxTYiWwPa0IQQQAAXQW

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:7e7e7e7e7e7e7e7e
Perceptual Hash:94c5c5ca4e9f8b32
Difference Hash:c2969eaaaeaabeb6
Wavelet Hash:7e467e02062e6e5e
Color Hash:#2dd2a9

Scan History

Scan history not available

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