Security Scan Report: amsterdamnyfd.gov

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Submitted: Oct 10, 2025, 7:52:56 AMCompleted: Oct 10, 2025, 7:54:40 AMpubliccompleted
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Summary

This website contacted 39 IPs in 2 countries across 14 domains to perform 92 HTTP transactions. The main domain is amsterdamnyfd.gov and was registered NaN years ago.

Submitted URL: https://amsterdamnyfd.gov/193/Fire-Department

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate municipal fire department site with low risk.

Safety Factors
Official government TLD (.gov)
No password or payment fields
No external malicious links
Clear municipal contact information
Domain age information unavailable

Details

Page Title

Fire Department | Amsterdam, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'amsterdamnyfd.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'amsterdamnyfd' spans 13 characters holding 3 vowels versus 10 consonants. Breaking it apart gives 3 words: amsterdam, ny, fd. Average segment length settles at 2 characters. 'amsterdam' is most common in Swedish usage. It also appears in Indonesian and Malay contexts. Overall, 'amsterdamnyfd.gov' reads as Swedish.

Screenshot

Security scan screenshot of https://amsterdamnyfd.gov/193/Fire-Department

Page Load Overview

26.47s
Total Load Time
92
HTTP Requests
14
Domains
2.5 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:3,261 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.239.34.36United States
AS15169GOOGLE
22.18.64.212Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.185.196United States
AS15169GOOGLE
2207.38.77.189United States
AS36489NETSOLUS-NETWORKS
213.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.18.28.155United States
AS13335CLOUDFLARENET
2142.250.185.200United States
AS15169GOOGLE
2150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2104.18.29.155United States
AS13335CLOUDFLARENET
9239--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142932BE4BB8C3037802331D9F5B7A648943AD177E6079C49FCBC51A0AFD1DE095B62A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jcAcA4Vp11kAbLsgOh5B9M7bMDP/ed/9jUhUIB95V5wqJY1NRfdK:jAnfkvBVb5NJY1NK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94555:BiQGAAB2RjAiEnQJgQk0FCicUAgaApXZQogg1IIgJp2rgBOSA4IgA86MAoRJggis2QXOiQyECwzIDAVArGlgUSTYEAMSaAgQ

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:0001ffbf99999f9f
Perceptual Hash:9f60346b1ed4c1d6
Difference Hash:c72b007b7b6b6b6f
Wavelet Hash:0000ff9f99899d9f
Color Hash:#53ac8d

Scan History

Scan history not available

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