Security Scan Report: berlinal.gov

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Submitted: Oct 27, 2025, 1:14:47 PMCompleted: Oct 27, 2025, 1:15:35 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 5 domains to perform 38 HTTP transactions. The main domain is berlinal.gov and was registered NaN years ago.

Submitted URL: https://berlinal.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official government domain (.gov)
Established domain age
Standard contact form only
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(95%)

Domain Information

You're looking at domain 'berlinal.gov' on the United States government-restricted top-level domain (.gov). The second-level label 'berlinal' is 8 characters long split between 3 vowels and five consonants. Splitting it apart reveals two words: berlin, al. Expect 4 characters per word on average. Most frequently, 'berlin' shows up in Esperanto. You may catch it in Catalan and Spanish as well.

Screenshot

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

Page Load Overview

22.64s
Total Load Time
38
HTTP Requests
5
Domains
2.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:998 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: spa
Method: structural

All Detected Categories

government
95%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.250.185.195United States
AS15169GOOGLE
3142.250.186.68United States
AS15169GOOGLE
340.112.243.53San Jose, California, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3142.250.186.67United States
AS15169GOOGLE
320.60.168.193San Jose, California, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3142.250.184.196United States
AS15169GOOGLE
3216.58.206.67United States
AS15169GOOGLE
32a00:1450:4001:80f::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:812::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a00:1450:4001:811::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
3810--

Detected Technologies7

WordPressv6.8.3
100%
JQueryv3.7.1
100%
Bootstrapv1.0.2
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1002308B270DC2A76376B07ACA091B7187564D524CA06E779F0F963E897C8DFA017360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:t20lZdapg//QI7o2VSUOEouU6Ay5bCn3o43gkMhFBR9h:thapaf7omSXuay5bCn3o43gkMhFBR9h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48566:FLFijhAAFNIDCFqXNyAhUY6YQHkgjRRYKhLSNgQkJij2BgQVkAEQCKeZIk8gbijAuCcVCgIAgggyyUwAC4gFhxC0Tm/AAqIY

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:ffff001800000000
Perceptual Hash:8bd5b2e4f288836d
Difference Hash:0016e2b33343b30d
Wavelet Hash:ffff3e19f9010100
Color Hash:#1f3e93

Scan History

Scan history not available

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