Security Scan Report: black-mosquito.org

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Submitted: Jan 18, 2026, 1:45:01 AMCompleted: Jan 18, 2026, 1:46:21 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 214 HTTP transactions. The main domain is black-mosquito.org and was registered NaN years ago.

Submitted URL: https://black-mosquito.org

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate site with login; no significant security concerns detected.

Safety Factors
Established domain (>19 years old)
No malicious Indicators of Compromise
No payment collection forms
No brand impersonation
Site appears to be a legitimate anarchist mailorder/community
Domain age information unavailable

Details

Page Title

Black Mosquito – Anarchistischer Mailorder

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

e-commerce

(40%)

Domain Information

The domain 'black-mosquito.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. Count 14 characters in 'black-mosquito' with 5 vowels and 8 consonants; bonus characters include one hyphen. Tokenizing the label suggests 2 words: black, mosquito. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://black-mosquito.org

Page Load Overview

5.51s
Total Load Time
204
HTTP Requests
4
Domains
11.7 MB
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
Text Length:11,038 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce40% confidence
Type: spa
Method: structural

All Detected Categories

e-commerce
40%

Detected Features

Login Form
Search
Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
51146.75.121.21Frankfurt am Main, Hesse, Germany
AS54113FASTLY
51146.75.123.1Frankfurt am Main, Hesse, Germany
AS54113FASTLY
51138.201.49.8Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
51104.18.10.207United States
AS13335CLOUDFLARENET
2044--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E474B7B2D4F6143A122385E065A42F49BED6D61FCB830B81B3ED93616FCBD916A1350F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1EPQNubMZq3wobcov5eLzo3pwYfrrXX7L36YLZFaPBB/BIrjvF1VeBCa4QC+EXk:1MbZ0XmrjEBCa4QCk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:364645:hQXEHIQ7JRBEN6AgBBNgRAxABQJQDDwVEIwgMgqUQBBYVBRdIECjEpwNWTSAHQWgAG5DAl0CxA4LmDgId0ooiG5QFkBCyJgJ

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:3c040020347070ff
Perceptual Hash:c61a9847936d6337
Difference Hash:e4eccce8ccc1e5b0
Wavelet Hash:3c3c00207470ffff
Color Hash:#95d279

Scan History

Scan history not available

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