Security Scan Report: geo.btaa.org

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Submitted: Jun 19, 2026, 9:04:38 PMCompleted: Jun 19, 2026, 9:06:21 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is geo.btaa.org and was registered NaN years ago.

Submitted URL: https://geo.btaa.org/resources/6fd2f8de3e3943c6973ead065f78795c_0

The Cisco Umbrella rank of the primary domain is #412,305 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

Page appears legitimate and serves geospatial data; moderate risk due to heavily obfuscated JavaScript but no phishing or malware indicators.

Risk Factors
High JavaScript obfuscation score (CRITICAL)
Multiple eval() calls in JavaScript
Safety Factors
No credential or payment collection forms
No external Indicators of Compromise
No YARA malware detections
Domain age well over 10 years
Self‑branding matches domain (geo.btaa.org)
Domain age information unavailable

Details

Page Title

Hubbard County Townships [Minnesota--Hubbard County] - Big Ten Academic Alliance Geoportal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(55%)

Domain Information

The domain name 'geo.btaa.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'geo'. Count 4 characters in 'btaa' containing 2 vowels alongside 2 consonants. Segmentation suggests three words: bt, a, a. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://geo.btaa.org/resources/6fd2f8de3e3943c6973ead065f78795c_0

Page Load Overview

5.12s
Total Load Time
63
HTTP Requests
5
Domains
344 KB
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
Text Length:414 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
55%
corporate
35%
education learning
33%
adult content
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32142.251.14.97United States
AS15169Google LLC
31134.84.73.70Chanhassen, Minnesota, United States
AS217University of Minnesota
632--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CD2B839D810CD2907363D94B6F47C9A98A2634B8C81A83CB5DCC25E2F45EF82597D7B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aksvWGtCCsVZAOZ0EevZOj+AMKvxOME6hlY+R:GvnzqpehO6ArswlnR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29276:EAEODIEACMfGIio4oiKg5xiAeijmw/YRAcNJNDBgBRaMAcMgLgIGBQBZGQQFQw5BAgT7lEBIJAEQXRgCgQjOicVWYAhFQK8Q

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:00ffefffffffffff
Perceptual Hash:b17347474b4b4933
Difference Hash:c01c9c181c160e00
Wavelet Hash:00c1c3c7c3c3c3f7
Color Hash:#2d865f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data