Security Scan Report: www.osceolane.gov

Submitted: Oct 3, 2025, 6:57:12 AMCompleted: Oct 3, 2025, 6:59:26 AMpubliccompleted
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Summary

This website contacted 29 IPs in 1 country across 7 domains to perform 155 HTTP transactions. The main domain is osceolane.gov and was registered NaN years ago.

Submitted URL: https://www.osceolane.gov/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate municipal website with minimal risk.

Safety Factors
.gov top‑level domain
Established domain age
No credential or payment collection forms
No malicious Indicators of Compromise
Consistent official municipal branding
Domain age information unavailable

Details

Page Title

City of Osceola, NE | City of Osceola Nebraska | 350 North State Street, Osceola, NE, USA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Screenshot

Security scan screenshot of https://www.osceolane.gov/

Page Load Overview

107.57s
Total Load Time
155
HTTP Requests
7
Domains
1.8 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
Text Length:3,105 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1554.204.203.119Ashburn, Virginia, United States
AS14618AMAZON-AES
599.86.4.79United States
AS16509AMAZON-02
534.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
5151.101.194.217San Francisco, California, United States
AS54113FASTLY
534.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
552.7.44.213Ashburn, Virginia, United States
AS14618AMAZON-AES
5151.101.130.217San Francisco, California, United States
AS54113FASTLY
534.203.1.235Ashburn, Virginia, United States
AS14618AMAZON-AES
554.166.192.105Ashburn, Virginia, United States
AS14618AMAZON-AES
15529--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB83F731F61E2C3F722345D8F4B6A31A7092D61ACB454424AEAC637B1BC7DF6B24661C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+7glAydo7sJ0TQ4R+mP5BCEHegeieeeeXeeee4eee7eoeePeTc27ObFJh/PcIFoq:+guvpj/i7/i4R2yR25

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84507:5J6FeSJmEQASBcBghgiAAGCDEOEAkyARJPBPhA0YZoubogAIpgGJEBCgiKCEBwJ8QnpjMqTAack0D8pktAAgICKAgQAgEAGI

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:ffff18187fd34000
Perceptual Hash:e897e3a4535a2d23
Difference Hash:418f7661aab69189
Wavelet Hash:ffff18187fd30000
Color Hash:#452dd2

Scan History

Scan history not available

Unable to load historical scan data