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Security Scan Report: berlinmd.gov

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Submitted: Oct 2, 2025, 1:07:34 PMCompleted: Oct 2, 2025, 1:08:53 PMpubliccompleted
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Summary

This website contacted 63 IPs in 2 countries across 14 domains to perform 232 HTTP transactions. The main domain is berlinmd.gov and was registered NaN years ago.

Submitted URL: https://berlinmd.gov/

AI Security Verdict

Safe Website

Confidence: 88%

2
Risk Score

Legitimate municipal site with minimal risk.

Risk Factors
Domain not listed in Cisco Umbrella top 1 M (unranked)
One generic malicious indicator flagged in the report
Safety Factors
Long registration history and reputable .gov domain
No login or payment fields
Publicly verifiable municipal information
Use of HTTPS
Domain age information unavailable

Details

Page Title

Town of Berlin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'berlinmd.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'berlinmd' is 8 characters long with two vowels and 6 consonants. Tokenizing the label suggests two words: berlin, md. Median word length comes out to four characters. 'berlin' most strongly signals Sinhala. You may catch it in Danish and English as well.

Screenshot

Security scan screenshot of https://berlinmd.gov/

Page Load Overview

27.19s
Total Load Time
232
HTTP Requests
14
Domains
6.0 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:13,699 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
35%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46216.239.34.36United States
AS15169GOOGLE
313.35.58.63United States
AS16509AMAZON-02
357.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
313.35.58.25United States
AS16509AMAZON-02
3143.204.98.11United States
AS16509AMAZON-02
354.156.15.181Ashburn, Virginia, United States
AS14618AMAZON-AES
313.35.58.31United States
AS16509AMAZON-02
357.144.244.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.185.232United States
AS15169GOOGLE
3142.250.185.68United States
AS15169GOOGLE
23263--

Detected Technologies10

WordPressv6.8.2
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google Analytics
55%
PHP
50%
MySQL
50%
Swiper
20%
Google Tag Manager
20%
Constant Contact
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D74B572C8470537066E0BBD6234738E537DBABDF5512CA4B2ACAE160BCBC9814DA5C7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:s+rxv1vPvhvxvLvUv1v+vKv3vWvtvkvZv/vdvGvEv5vz/4Sx:ze

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:342388:RrCCLOkkuSkEbQ0jAsGEBZGCgwKMwExXhSAJYEoAslVoRIRmIoQIoQ0haiGoEEJiVh5gJyk3E4GhRFnC4HJDCNQQRgeiGQsi

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:ffff9d9f18000007
Perceptual Hash:9cd8e247ceccc06d
Difference Hash:a13131317171763f
Wavelet Hash:ffdf9f9f18000007
Color Hash:#93501f

Other Hashes

Crop Resistant:a13131317171763f,cece8e1f3f6e6e5b,a6a6ca3206006020

Scan History

Scan history not available

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