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Security Scan Report: pacga.org

Submitted: Nov 14, 2025, 6:41:59 PMCompleted: Nov 14, 2025, 6:42:59 PMpubliccompleted
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Summary

This website contacted 37 IPs in 0 countries across 11 domains to perform 49 HTTP transactions. The main domain is pacga.org and was registered NaN years ago.

Submitted URL: https://pacga.org/2025/11/14/statement-from-peter-j-skandalakis-regarding-appointment-in-state-of-georgia-v-donald-j-trump-et-al/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain with minimal risk rating
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

STATEMENT FROM PETER J. SKANDALAKIS REGARDING APPOINTMENT IN STATE OF GEORGIA V. DONALD J. TRUMP, ET AL. - Prosecuting Attorneys' Council of Georgia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(77%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'pacga.org' is registered without a subdomain. The core label 'pacga' covers 5 characters with 2 vowels and three consonants. Tokenizing the label suggests two words: pac, ga. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pacga.org/2025/11/14/statement-from-peter-j-skandalakis-regarding-appointment-in-state-of-georgia-v-donald-j-trump-et-al/

Page Load Overview

11.00s
Total Load Time
49
HTTP Requests
11
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:8,190 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
77%
government public service
44%
news/blog
20%
news
15%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13151.101.2.137UnknownUnknown
1192.0.76.3UnknownUnknown
1104.17.24.14UnknownUnknown
1142.250.185.234UnknownUnknown
1151.101.130.137UnknownUnknown
1142.250.186.168UnknownUnknown
1216.239.32.36UnknownUnknown
1216.239.34.36UnknownUnknown
1142.250.181.238UnknownUnknown
1141.193.213.10UnknownUnknown
4937--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14143D6F3A84C203E974B72959059B628E2A29109CF515B51B3FCB2BCDB86FF645B310D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+uFJICu1FgJE2InQIapwexPCmCiesFD8vf/6x/M3uWmTtL9:tFJICu1FgJE2InQHCelvesFD8H/0XTth

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55744:KIBKDi5EApCSQJhnpMgGtIBmDwqgAPqgBIQJAIABSBER2CRBNBFNgAEgJxISJEpEg4DeJEG2bFGLhBwcigQgkBUwp8iBaaoB

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:000000ffffffffff
Perceptual Hash:e8404737bffa4a41
Difference Hash:dd82a32f2e333723
Wavelet Hash:00000083ffffdbdf
Color Hash:#38d22d

Other Hashes

Crop Resistant:dd82a32f2e333723,38d5d932b282a3b1

Scan History

Scan history not available

Unable to load historical scan data