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Security Scan Report: www.baks.org

Redirected to:
https://www.baks.org/
Submitted: Jun 13, 2026, 5:13:20 AMCompleted: Jun 13, 2026, 5:14:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is baks.org and was registered NaN years ago.

Submitted URL: http://www.baks.org

Effective URL: https://www.baks.org/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 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

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(66%)

Domain Information

The domain name 'www.baks.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Its registrable label 'baks' stretches across 4 characters split between 1 vowel and three consonants. Word splitting yields two words: bak, s. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.baks.org

Page Load Overview

0.17s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
53%
cryptocurrency blockchain
47%
news media journalism
41%
phishing scam
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
391.221.59.36Troisdorf, North Rhine-Westphalia, Germany
AS51733BWI GmbH
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8C0807E41E15C19F0F7B79D048277811D604C0543068D513545551CCD1C65CD54F3D3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxAvNXFnEznmS13J5AEtvxL//4tznmS1pH/P+gXsT9/t8gL0ciQ9msY04z:qzxAY1AEdxsLzuSs39z9mr04z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:226a44a4876ab2ca81c7d037a8004c55

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#931f7e

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data