Security Scan Report: www.sga.gatech.edu

Submitted: Oct 24, 2025, 3:26:39 AMCompleted: Oct 24, 2025, 3:28:38 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 13 domains to perform 165 HTTP transactions. The main domain is sga.gatech.edu and was registered NaN years ago.

Submitted URL: https://www.sga.gatech.edu/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Georgia Tech Student Government Association page.

Safety Factors
Official university domain
Long‑standing registration date
Standard informational website with only a search form
Domain age information unavailable

Details

Page Title

Student Government Association

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

The domain 'www.sga.gatech.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www.sga'. Its registrable label 'gatech' stretches across 6 characters with 2 vowels and 4 consonants. Breaking it apart gives two words: gate, ch. Expect 3 characters per word on average. Most frequently, 'gate' shows up in Chinese (Zhuyin). You will also see it in Vietnamese and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://www.sga.gatech.edu/

Page Load Overview

30.15s
Total Load Time
165
HTTP Requests
13
Domains
4.6 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:1,964 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
88%
news media journalism
76%
education learning
55%
documentation technical
53%
forum community discussion
46%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3354.159.50.159Ashburn, Virginia, United States
AS14618AMAZON-AES
4104.21.27.152United States
AS13335CLOUDFLARENET
4157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
452.22.200.102Ashburn, Virginia, United States
AS14618AMAZON-AES
457.144.248.192Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4142.250.186.74United States
AS15169GOOGLE
4142.250.185.168United States
AS15169GOOGLE
4142.250.185.163United States
AS15169GOOGLE
457.144.244.192Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
16534--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13173FBB6ECD8203F522B92C8F0A5E319E7969506CF0548F1B2FCE1585F98DA614E335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Amap7OxP0Ptzc1f1kts5QNbxux6+Si25zbW6GqWlB/vktf1u7B:A5yP0FQ1f1PKXi25zbW6GqWlVktfc7B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73390:AtASJMgaIAGMGQkWDByABnjkgbChQEMGoBxSwAiBIAARUpQIAA7FEkHCVESZQkGaIUMMWAaEEpKApSiQdQhACDkC7FgQACWm

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:ff000000ffc3ffff
Perceptual Hash:bc0c97b7863b0f84
Difference Hash:2a3331b32e2b0b26
Wavelet Hash:1f000000ffc3efff
Color Hash:#b679d2

Scan History

Scan history not available

Unable to load historical scan data