Security Scan Report: georgiacourtsjournal.org

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Submitted: Sep 29, 2026, 10:54:04 PMCompleted: Sep 29, 2026, 10:54:43 PMpubliccompleted

This website contacted 53 IPs in 2 countries across 21 domains to perform 490 HTTP transactions. The main domain is georgiacourtsjournal.org and was registered 18 years ago.

Submitted URL: https://georgiacourtsjournal.org/meet-the-members-of-the-judicial-council-of-georgia/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established 7-year-old domain hosting a self-branded judicial newsletter article. No credential or payment forms, no impersonation, and no threat-intelligence, YARA, or IDS signals.

Safety Factors (5)
7-year-old well-established domain with minimal age risk
Article/newsletter content with consistent self-branding on its own domain
No credential, password, or payment collection anywhere on the page
No threat-intelligence, JavaScript malware, or IDS signals
Cross-origin requests are limited to standard analytics/advertising/font CDNs (DoubleClick, WordPress, Google Fonts)
Domain age information unavailable

Details

Page Title

Meet the Members of the Judicial Council of Georgia - The Georgia Courts Journal

Scan Type

public

Domain Name Analysis

The domain name 'georgiacourtsjournal.org' uses the non-profit oriented generic top-level domain (.org). Count 20 characters in 'georgiacourtsjournal' holding nine vowels versus eleven consonants. Segmentation suggests 3 words: georgia, courts, journal. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://georgiacourtsjournal.org/meet-the-members-of-the-judicial-council-of-georgia/

Page Load Overview

0.38s
Total Load Time
23.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,264 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate
35%
news/blog
30%
government public service
29%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22192.0.78.209San Francisco, California, United States
AS2635Automattic, Inc
9192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
9192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
9192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
9192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
9142.251.151.4Google · CDNUnited States
AS15169Google LLC
9146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
9172.66.0.227Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9192.0.78.182San Francisco, California, United States
AS2635Automattic, Inc
9142.251.155.4Google · CDNUnited States
AS15169Google LLC
49053--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19293C632D07405F51B1B47D2F9853B68B0558609EA828AF8F0F5D2346ECADF765B322E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:D2EivW6J+cNhYyppiW1hRM/wmlmgJENTaufnSVBZPtgkFkUG+6kt0Af3iZRGcWuk:D2EivW6J+cNh5cENGuieUG+6kt0A/iZ+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91022:EAEACAERMAAjtEV0z9kgIgAgwn7ZQIAAKFJAQcwAGBdwUiuAexDxAGQMLgiXfAP4reUiwCBgEoICAHSSMkBBBmiL7pizAUAA

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:7e42667e7e7e7ec6
Perceptual Hash:b26530c998cf32cf
Difference Hash:d48cccf09cccc08c
Wavelet Hash:2442447c5e7e7e46
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data