Security Scan Report: www.cityoflaurel.org

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Submitted: Jun 24, 2026, 5:15:39 AMCompleted: Jun 24, 2026, 5:16:49 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is cityoflaurel.org and was registered NaN years ago.

Submitted URL: https://www.cityoflaurel.org/327/AMBER-Alert-Program

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal page with no malicious activity.

Safety Factors
Long‑standing domain registration
Absence of malicious indicators (IoC, YARA, IDS)
No credential or payment collection
Government public‑service content
Domain age information unavailable

Details

Page Title

AMBER Alert Program | Laurel, MD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(61%)

Domain Information

Domain 'www.cityoflaurel.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'cityoflaurel' stretches across 12 characters holding 5 vowels versus seven consonants. Breaking it apart gives three words: city, of, laurel. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cityoflaurel.org/327/AMBER-Alert-Program

Page Load Overview

3.61s
Total Load Time
58
HTTP Requests
13
Domains
1.5 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:7,698 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
61%
news media journalism
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.154.97United States
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11150.171.109.53United States
AS8075Microsoft Corporation
11104.26.7.115United States
AS13335Cloudflare, Inc.
113.174.46.7United States
AS16509Amazon.com, Inc.
1134.98.105.146Kansas City, Missouri, United States
AS396982Google LLC
585--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2A3E850FF4C5837816B16CCA6B7665824BD9322D2074C89BCAC97F02BE6D7CC67B198

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pZJPcAt6r/kA2jw1jiEMdEvFu97k5BwY1QgwfJftfbt75lG:p8TKw13MW9L5BwY1QB5t7/G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100248:DAGEicAGkAjtRcgmiCKABqGBarGAqEXqjIHBWEgIgHdAERSgrGwAKxiMJxGBQALes4IACIjgQRgiKTMAGQCRaqFQWwAFCY0C

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:ff1c00009f9f9f9f
Perceptual Hash:9f41cf8ee060791d
Difference Hash:43781a957c7b6b69
Wavelet Hash:3f1800009f9f9f9f
Color Hash:#291f93

Scan History

Scan history not available

Unable to load historical scan data