Security Scan Report: yandex-inbox.pages.dev

Redirected to:
https://gebuehrenservice.de/?track=unknown
Submitted: Apr 25, 2026, 9:05:18 PMCompleted: Apr 25, 2026, 9:06:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is gebuehrenservice.de.

Submitted URL: https://yandex-inbox.pages.dev/

Effective URL: https://gebuehrenservice.de/?track=unknownRedirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: '502 Bad Gateway' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

gebuehrenservice.de

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

healthcare medical

(77%)

Domain Information

The domain 'yandex-inbox.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'yandex-inbox'. The registrable portion 'pages' spans 5 characters holding two vowels versus 3 consonants. Segmentation suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yandex-inbox.pages.dev/

Page Load Overview

0.21s
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:555 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical77% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
77%
documentation technical
65%
finance banking
64%
adult content
60%
education learning
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.44.190United States
AS13335Cloudflare, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8Oldt:DhoC9JSqzzbs6o3Sj3gcrsE2eAr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184528:QMEjBKGZFCBEoEKISCRnIWHNxg4YNMDAgUGRAB8RAAUgMDcloQEAGWXgABpTAxQOYCREkAQcAoCWRw1DGilAiEAFkNFIyGKC

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#c587b8

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data