Security Scan Report: sg-holzen-eisborn.de

Redirected to: https://zzxeqm.happy2dates.com/?utm_source=da57dc555e50572d&ban=other&j1=1&s1=190867&s2=2180296&s3=61inmix

Submitted: Oct 22, 2025, 3:01:07 AMCompleted: Oct 22, 2025, 3:01:47 AMpubliccompleted
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Summary

This website contacted 9 IPs in 5 countries across 5 domains to perform 39 HTTP transactions. The main domain is zzxeqm.happy2dates.com and was registered NaN years ago.

Submitted URL: http://sg-holzen-eisborn.de/QLMk

Effective URL: https://zzxeqm.happy2dates.com/?utm_source=da57dc555e50572d&ban=other&j1=1&s1=190867&s2=2180296&s3=61inmixRedirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk site; no credential or payment collection, but recent unranked domain.

Risk Factors
Domain age less than 1 year
Domain not listed in Cisco Umbrella top 1M (unranked)
Safety Factors
No forms collecting sensitive data
No external domains referenced
Content appears informational only
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the German country-code top-level domain (.de), 'sg-holzen-eisborn.de' is registered and has no subdomain. The core label 'sg-holzen-eisborn' covers 17 characters containing five vowels alongside ten consonants; it also includes 2 hyphens. It segments into 6 words: sg, holz, en, e, is, born. Average segment length settles at two characters. 'en' most often appears in Italian. It also appears in Albanian and Afrikaans contexts.

Screenshot

Security scan screenshot of http://sg-holzen-eisborn.de/QLMk

Page Load Overview

5.80s
Total Load Time
39
HTTP Requests
5
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,006 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
738.180.126.191Montreal, Quebec, Canada
AS10929ESTRUXTURE-QC-10929
452.19.138.177Dublin, Leinster, Ireland
AS16509AMAZON-02
4142.250.185.234United States
AS15169GOOGLE
488.212.201.204Russia
AS39134Edinaya Set Limited Liability Company
423.50.131.23Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
488.212.202.52Russia
AS39134Edinaya Set Limited Liability Company
423.50.131.20Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
488.212.201.198Russia
AS39134Edinaya Set Limited Liability Company
399--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C892B87514D2307B52A360E9E67FE78932F78517E2018D007BFC538E0FD0EA94A75A9A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Q7sLQEAl6R3g01BQLsEAJ0yvb77r0uW5h:Q7vhgEAJ0yvbXreh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20952:TMjKkBRBqJBYVALBWAAIVcAJgAAQa0WIQQCbzAjDAJIgEMDsYwMZImBiBMglXZNBdDCQIEAwIIBRt7kggBAhkaEAgtEAUKGA

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:00183c38181c1c18
Perceptual Hash:8ec7333161a6c6cd
Difference Hash:d573696171a9a971
Wavelet Hash:7d3c3c3c3c3c1c19
Color Hash:#6ce096

Scan History

Scan history not available

Unable to load historical scan data