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Security Scan Report: www.baks.org

Redirected to: https://www.baks.org/

Submitted: Dec 27, 2025, 8:36:58 PMCompleted: Dec 27, 2025, 8:37:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 2 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: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Long-established domain (>25 years)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Standard hosting environment
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(66%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.baks.org' is registered with subdomain 'www'. The core label 'baks' covers 4 characters with one vowel and three consonants. Breaking it apart gives two words: bak, s. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
0
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
54%
cryptocurrency blockchain
47%
phishing scam
41%
news media journalism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
291.221.59.36UnknownUnknown
01--

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#2dd27a

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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