Security Scan Report: rsficoffer.aspectonline.de

Redirected to: https://rsficoffer.aspectonline.de/

Submitted: Jan 29, 2026, 10:40:03 PMCompleted: Jan 29, 2026, 10:41:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is rsficoffer.aspectonline.de and was registered NaN years ago.

Submitted URL: http://rsficoffer.aspectonline.de/

Effective URL: https://rsficoffer.aspectonline.de/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>10 years old)
Secure HTTPS connection
No credential or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

rsficoffer.aspectonline.de

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'rsficoffer.aspectonline.de' uses the German country-code top-level domain (.de), featuring subdomain 'rsficoffer'. Its registrable label 'aspectonline' stretches across 12 characters with 5 vowels and seven consonants. Breaking it apart gives two words: aspect, online. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rsficoffer.aspectonline.de/

Page Load Overview

0.70s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
394.130.194.139Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8048F77329A063986558498E05B430D9F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszB2bMy8Old8:thoC9JSqzzbs6o3Sj3gcrsl2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187220:XMrFlDBPAqRKddwAQiVIkYAQmDLZCKR+ihgNEgHAkGUIJAMJASTJaGiZhlUREAoG0CAzUJzqwLB0gjUBnAxYger4EQIKgAID

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:f0d0c0c0033f3f3f
Color Hash:#c3d279

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

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