Security Scan Report: gis.lcc.mn.gov

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Submitted: Jun 19, 2026, 9:05:39 PMCompleted: Jun 19, 2026, 9:07:36 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is gis.lcc.mn.gov and was registered NaN years ago.

Submitted URL: https://gis.lcc.mn.gov/pdf/county/Hubbard.pdf

The Cisco Umbrella rank of the primary domain is #55,550 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #55,550.

Safety Factors
Well-established domain (ranked #55,550)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'gis.lcc.mn.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'gis.lcc'. The second-level label 'mn' is 2 characters long with zero vowels and 2 consonants. Tokenizing the label suggests one word: mn. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gis.lcc.mn.gov/pdf/county/Hubbard.pdf

Page Load Overview

2.47s
Total Load Time
2
HTTP Requests
1
Domains
347 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2156.98.79.215Minneapolis, Minnesota, United States
AS1998State of Minnesota
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CA4D07FC4D5A2DD9E84D3CB665CBDB2A1DE7349A3834D58288C378A4A97ECD4F100A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:nKERaQkc3MqodEEUnX9zolVqU7qeGc9rrT:nb3kc3Mx2x1kVqU799rrT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:480828:MgYYAhYiCOJ1YgoAcCAAAEASDCCM4EABhRxBJAIWUBCgiALAkAH6dENAALVoqgIEIGUBCK6FRFQcMQAIBBDNy9AVEOpwgAEA

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9e6d676761612323
Difference Hash:3030b0b0b0b0b0b0
Wavelet Hash:1c9e1e1e1e1e1e1e
Color Hash:#7994d2

Scan History

Scan history not available

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