Security Scan Report: smithsstational-fpd.gov

Redirected to: https://smithsstational-fpd.gov/.well-known/sgcaptcha/?r=%2F&y=ipc:178.63.16.224:1766326432.600

Submitted: Dec 21, 2025, 2:13:48 PMCompleted: Dec 21, 2025, 2:14:56 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 6 HTTP transactions. The main domain is smithsstational-fpd.gov and was registered NaN years ago.

Submitted URL: https://smithsstational-fpd.gov/

Effective URL: https://smithsstational-fpd.gov/.well-known/sgcaptcha/?r=%2F&y=ipc:178.63.16.224:1766326432.600Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government fire protection site with no security concerns.

Safety Factors
Valid .gov TLD
Established domain age
No malicious Indicators of Compromise
No suspicious forms or redirects
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Smiths Station Fire Protection District

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

Domain 'smithsstational-fpd.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 19 characters in 'smithsstational-fpd' split between 5 vowels and 13 consonants, plus one hyphen. It segments into 5 words: smiths, station, al, fp, d. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smithsstational-fpd.gov/

Page Load Overview

2.50s
Total Load Time
6
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:29,222 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
66%
healthcare medical
63%
finance banking
60%
documentation technical
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.174.117.27United States
AS16509AMAZON-02
23.174.117.123United States
AS16509AMAZON-02
2104.21.54.217United States
AS13335CLOUDFLARENET
63--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B441A607B91253A312B03BFE467F61C25798953E68D26DAF8BE8108C7E5FC231B151E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PhnGDgQLW59rcW/fTDMkllGg+5IJd32ySBjW16:JnGDgTfTDA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:261264:CkAjIKIJAAgWCSKgEsm4TcoJANQYtACMBAwRQiQOhICFQIFgkFuKVICQIRkILYlBT4oABooBkRCAQkBEAggwLAhkADVQcQOH

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:ffff53e1f0f8f800
Perceptual Hash:eca591da336b194c
Difference Hash:f8b6974f27b3b1b5
Wavelet Hash:fff75381d1f81800
Color Hash:#2d4c86

Scan History

Scan history not available

Unable to load historical scan data