Security Scan Report: dfdata.bella.network

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Submitted: Mar 3, 2026, 3:37:48 AMCompleted: Mar 3, 2026, 3:39:18 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is dfdata.bella.network and was registered NaN years ago.

Submitted URL: https://dfdata.bella.network

The Cisco Umbrella rank of the primary domain is #714,920 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain with low ranking risk mitigated by age
Absence of login, payment, or hidden fields
No suspicious scripts or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

dfdata - uDomainFlag data backend

Scan Type

public

Language

🇺🇸

English

(25% confidence)

Category

technology software

(34%)

Domain Information

The domain name 'dfdata.bella.network' uses the .network top-level domain with subdomain 'dfdata'. The registrable portion 'bella' spans 5 characters containing two vowels alongside 3 consonants. Breaking it apart gives one word: bella. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dfdata.bella.network

Page Load Overview

0.14s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:25%
Script Type:Latin
Text Length:3,242 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software34% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
237.120.178.36Nuremberg, Bavaria, Germany
AS197540netcup GmbH
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10791861B2398300A0FB542986D8537B13327B08927738B6F1549878EBA411B77E76B5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:1drteScEI/Uf6AgOAvjTSXhtmNkj7jYg6lo7uZOOB:ri1AhhtmenpKBJB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4545:ZQwdAAAEABgQAIogBgAKwEPLBEACIICIhAAFAkAAASSAAoIEhOgiAAQVOYUAYWQQBgEgAwgAFgoYFgAAKAAgBAAUAQgEEIEF

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:1f3f1f0f1f070f7f
Perceptual Hash:9d9fc03f98383c1c
Difference Hash:f8c0f8f87e7efaac
Wavelet Hash:1f3f0f0f1f030707
Color Hash:#6c8de0

Other Hashes

Crop Resistant:f8c0f8f87e7efaac

Scan History

Scan history not available

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