Security Scan Report: bf51569b-05f8-4935-9637-8bae1a293e58.distil.ninja

Submitted: Jan 14, 2026, 5:03:25 PMCompleted: Jan 14, 2026, 5:07:20 PMpubliccompleted
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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 bf51569b-05f8-4935-9637-8bae1a293e58.distil.ninja and was registered NaN years ago.

Submitted URL: https://bf51569b-05f8-4935-9637-8bae1a293e58.distil.ninja

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇿🇦

AF

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the .ninja top-level domain, 'bf51569b-05f8-4935-9637-8bae1a293e58.distil.ninja' is registered with subdomain 'bf51569b-05f8-4935-9637-8bae1a293e58'. Its registrable label 'distil' stretches across 6 characters holding two vowels versus four consonants. It segments into one word: distil. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bf51569b-05f8-4935-9637-8bae1a293e58.distil.ninja

Page Load Overview

N/A
Total Load Time
2
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇿🇦AF
Code: af
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:af
Detection Confidence:50%
Script Type:Unknown
Text Length:25 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.67.230.112Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195C080B6C111440D6F7516F4DA8778945FD4514CC2635F44B6D4E195F444DA784532AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHY4+CF00Tqa:qzxV/5VHHoB96D3ne1k9YxI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c41f9c7cdde3723ad69e399a286ebf0b

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:7fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#78743a

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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