Security Scan Report: account.golem.de

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Submitted: Jan 17, 2026, 8:23:32 PMCompleted: Jan 17, 2026, 8:24:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 11 HTTP transactions. The main domain is account.golem.de.

Submitted URL: https://account.golem.de

The Cisco Umbrella rank of the primary domain is #135,118 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Legitimate Golem login page with minimal risk

Safety Factors
Brand verification: subdomain of official golem.de
HTTPS connection (assumed from standard practice)
No external links or redirects
Low complexity form without hidden or payment fields
Domain age information unavailable

Details

Page Title

Golem.de

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

forum community discussion

(40%)

Domain Information

The domain 'account.golem.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'account'. Its registrable label 'golem' stretches across 5 characters split between 2 vowels and three consonants. Splitting it apart reveals 2 words: go, lem. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://account.golem.de

Page Load Overview

0.64s
Total Load Time
9
HTTP Requests
1
Domains
333 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de-DE
Text Length:335 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion40% confidence
Type: webapp
Method: ml+structural

All Detected Categories

forum community discussion
40%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.56.128.49Germany
AS25291SysEleven GmbH
91--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183F1A5024C59750B43133AEDBFEA7218962B3057E455780072FC5D646FAAFEA07D2A0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:xixk6CveKNpCNTyxNTHDpumNTfSNyt9nQgb/LxZCpNPU9iNcZBE0MQfxVy+O:xic7Dk8tVLmpVug0MQfPdO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7546:QRhTIAgpVVEHGAfMMsDdHPBgiYziAAIzofMMaDdhiC4iQ8c4FEVQJZOhFYQK0FAXpABGBAiqCgKwBkAAEqgiDiEMiCSYDxig

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:81ffffff81c3ffff
Perceptual Hash:b8386d6d7c316169
Difference Hash:07f0f8f817064000
Wavelet Hash:017fffff81f30000
Color Hash:#7f2dd2

Scan History

Scan history not available

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