Security Scan Report: app.onlinestromrechner.de

Submitted: Jan 29, 2026, 12:31:01 PMCompleted: Jan 29, 2026, 12:32:45 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 app.onlinestromrechner.de and was registered NaN years ago.

Submitted URL: https://app.onlinestromrechner.de/

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)
No credential or payment forms
No Indicators of Compromise detected
Standard hosting without suspicious services
Domain age information unavailable

Details

Page Title

app.onlinestromrechner.de

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'app.onlinestromrechner.de' uses the German country-code top-level domain (.de) and includes subdomain 'app'. Count 18 characters in 'onlinestromrechner' containing 6 vowels alongside twelve consonants. It segments into four words: online, strom, re, chner. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.onlinestromrechner.de/

Page Load Overview

0.46s
Total Load Time
2
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
294.130.194.139Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszJ2bMy8OldA:xhoC9JSqzzbs6o3Sj3gcrst2eAy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187213:WEAaCGGBqoSTlYMMaQCCgCzCgwOQEuJ4KYBEDESlRiYtCBnihIAgCVMStHIQAZMRwA5CgIAFgpCCtDTCAlcIBQMHIJIQBAET

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:2f0f0707033f0f0f
Color Hash:#8bd279

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data