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Security Scan Report: bwwberlinnh.gov

Redirected to: https://www.searchhounds.com/articles/noma-culinary-innovation-in-copenhagen.html?psystem=PW&domain=bwwberlinnh.gov

Submitted: Dec 24, 2025, 9:38:01 PMCompleted: Dec 24, 2025, 9:38:32 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 42 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://bwwberlinnh.gov/

Effective URL: https://www.searchhounds.com/articles/noma-culinary-innovation-in-copenhagen.html?psystem=PW&domain=bwwberlinnh.govRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site; no security concerns detected.

Safety Factors
Long‑standing domain registration
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Page title and URL suggest legitimate editorial content about Noma restaurant
Domain age information unavailable

Details

Page Title

Noma: Culinary Innovation in Copenhagen | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(76%)

Domain Information

Domain 'bwwberlinnh.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'bwwberlinnh' covers 11 characters holding 2 vowels versus nine consonants. Breaking it apart gives four words: b, ww, berlin, nh. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.18s
Total Load Time
47
HTTP Requests
11
Domains
765 KB
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:61,403 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service76% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
76%
education learning
75%
entertainment media
48%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.217.18.1United States
AS15169
715.197.148.33Germany
AS1299
713.202.248.51Mumbai, Maharashtra, India
AS16509AMAZON-02
7142.251.141.98India
AS16509
723.36.162.154UnknownUnknown
7142.250.185.68UnknownUnknown
476--

Detected Technologies1

MetaGenerator
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A0123C3DC92801E5B20C6DDBC32B71C800BE6ADAE55FD40F4AA11A649D86E54CAA458

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0VA2ZARUbAiSTsSQQ9WSPD3Lp0LVe2KPD3LqWTkIcTitrvsjTBs:hR0VA8oTs49WSeVpKSWQI7GTW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:698:AACAgAAAAAIAAAAAAAAAAAAACAAAAAAEAAAAQAIAAAAAAgBAAAAAAAAAAEAAAAAAAQAAAAAIAAAAAAEBAAAABAAAAAQAAAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#87c5c1

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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