Security Scan Report: nassautrafficny.gov

Redirected to: https://nassautrafficny.gov/login?redirect=%2Ffiles%2F

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Submitted: Oct 19, 2025, 9:33:42 AMCompleted: Oct 19, 2025, 9:34:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 11 HTTP transactions. The main domain is nassautrafficny.gov and was registered NaN years ago.

Submitted URL: https://nassautrafficny.gov/

Effective URL: https://nassautrafficny.gov/login?redirect=%2Ffiles%2FRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Bot Protection Detected

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

Page Title

Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(72%)

Domain Information

Domain 'nassautrafficny.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 15 characters in 'nassautrafficny' with five vowels and ten consonants. It segments into three words: nassau, traffic, ny. Median word length comes out to six characters. The linguistic tilt is Indonesian for 'nassau'. Usage also turns up in Chinese (Pinyin) and English contexts. Taken together, it feels Indonesian.

Screenshot

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

Page Load Overview

5.54s
Total Load Time
11
HTTP Requests
1
Domains
1.0 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:52 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing72% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
72%
government public service
64%
government
48%
documentation technical
42%
news media journalism
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11100.12.36.212Queens, New York, United States
AS701UUNET
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103A196118C14444A2533C4A96BDF7A24E03994274925EC78F5ED19DCCF78E8903F7AE7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nG8S01pHbp0aybty+ZrNzQ5h7rGjsdtxA:GDMp1jybty+RNzQ5h7rGjsd3A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4722:goBAgQYEQASiAEQIyBgCkUURAASEoABsgSSAgAUAoEAAWtAECqyUBQFgAKBFAGeCADCAUEAABASAwAIFAIACRECSEJAxBCKO

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:0000181818180000
Perceptual Hash:cc7433d331cccc33
Difference Hash:1008323232b23004
Wavelet Hash:000038383c3c0000
Color Hash:#53ac8d

Other Hashes

Crop Resistant:1008323232b23004

Scan History

Scan history not available

Unable to load historical scan data