Security Scan Report: unl-prod.alamos-gmbh.com

Submitted: Jun 13, 2026, 10:19:41 AMCompleted: Jun 13, 2026, 10:21:35 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 unl-prod.alamos-gmbh.com and was registered NaN years ago.

Submitted URL: https://unl-prod.alamos-gmbh.com

The Cisco Umbrella rank of the primary domain is #439,948 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page 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

N/A

Scan Type

public

Language

🇩🇰

Danish

(43% confidence)

Category

adult content

(48%)

Domain Information

The domain 'unl-prod.alamos-gmbh.com' uses the commercial generic top-level domain (.com) and includes subdomain 'unl-prod'. The core label 'alamos-gmbh' covers 11 characters holding three vowels versus 7 consonants, plus 1 hyphen. Breaking it apart gives two words: alamos, gmbh. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unl-prod.alamos-gmbh.com

Page Load Overview

0.18s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:43%
Script Type:Latin
Text Length:56 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content48% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
48%
gambling betting
43%
government public service
42%
news media journalism
34%
cryptocurrency blockchain
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.9.63.161Nuremberg, Bavaria, Germany
AS197540netcup GmbH
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4B092ABE65E090CBF9336E24E862BA05C2A436C380609505B85AA22B90407689661C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iMsMgs0UL3AE+FoJRx+QV3vZ7qz:qzxO967gs0HE+2XV3vZ7qz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f9c3250b10ac5e18f34dbcf94fdbacef

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#6c94e0

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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