Security Scan Report: open.ga.gov

Submitted: Feb 8, 2026, 11:27:47 AMCompleted: Feb 8, 2026, 11:29:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is open.ga.gov and was registered NaN years ago.

Submitted URL: https://open.ga.gov/

The Cisco Umbrella rank of the primary domain is #79,979 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site; well‑established and no malicious indicators detected.

Safety Factors
Well‑established domain (over 24 years old)
No malicious Indicators of Compromise matches
No login, payment, or other sensitive forms
High Cisco Umbrella ranking (top 100 k)
Standard hosting with no suspicious redirects
Domain age information unavailable

Details

Page Title

open.ga.gov

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

government public service

(85%)

Domain Information

You're looking at domain 'open.ga.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'open'. Its registrable label 'ga' stretches across 2 characters containing 1 vowel alongside 1 consonant. Breaking it apart gives 1 word: ga. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://open.ga.gov/

Page Load Overview

33.87s
Total Load Time
98
HTTP Requests
2
Domains
530 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:1,128 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
85%
technology software
60%
documentation technical
49%
government
48%
phishing/scam
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
98168.29.232.42Atlanta, Georgia, United States
AS3479Board of Regents of the University System of Georgia
981--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8OldK:YhoC9JSqzzbs6o3Sj3gcrs62eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184446:hKEXqaiSBOyDSKCEQgCqRDHGDACi0AAhoHUpIigiUYYgLBAcQIFckAhDKhjkgoClNIBMQYIRyAlJLwZVFQmaB1BEQZdAVoly

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:ffcfc7cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:f0d0c0cc0f0f0f0f
Color Hash:#753a78

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data