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Security Scan Report: berlinmd.gov

Submitted: Dec 20, 2025, 2:34:11 AMCompleted: Dec 20, 2025, 2:35:03 AMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 19 domains to perform 242 HTTP transactions. The main domain is berlinmd.gov and was registered NaN years ago.

Submitted URL: https://berlinmd.gov/

AI Security Verdict

Low Risk

Confidence: 95%

2
Risk Score

Legitimate government site with a minor redirect concern

Risk Factors
Circular redirect detected (potential URL manipulation)
Safety Factors
Well‑established domain (over 16 years old)
Government .gov TLD
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

Town of Berlin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'berlinmd.gov' is registered and has no subdomain. Its registrable label 'berlinmd' stretches across 8 characters containing two vowels alongside 6 consonants. It segments into two words: berlin, md. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.22s
Total Load Time
242
HTTP Requests
19
Domains
9.8 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-US
Text Length:18,710 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
25%
news/blog
20%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
11142.250.185.104United States
AS15169GOOGLE
1118.66.112.3United States
AS16509AMAZON-02
11142.250.186.142United States
AS15169GOOGLE
11157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
11157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1113.35.58.81United States
AS16509AMAZON-02
1157.144.248.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1154.156.15.181Ashburn, Virginia, United States
AS14618AMAZON-AES
11216.239.34.36United States
AS15169GOOGLE
24222--

Detected Technologies5

WordPressv6.8.2
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CB94A472C84701760A6D07BD6730728E537D7ABDF5522CA4B2ACAE060BCFC8854DA9D7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MJocevMvXv0vXvbvbvevnv3vXvKvhvPv/vcvFvs/US8:W5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:430785:QDQRAAkUugQehCeAw4g0UiIUN0kRAosIXRABaKQUGBoAQKDDKAYOSYCRohoMGQC/YA6MDAJJDQFoKgFSKTCoHChqAJcRKQQE

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:226040efc7c7c7f7
Perceptual Hash:f34cc5338d33d870
Difference Hash:c280950d8d8d8c8c
Wavelet Hash:207c00c7c7c7c7e7
Color Hash:#bf4099

Other Hashes

Crop Resistant:c280950d8d8d8c8c,c4c690d9a2e5a222,2d646f66651e8783

Scan History

Scan history not available

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