Security Scan Report: franklindelco-ny.gov

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Submitted: Dec 23, 2025, 11:59:19 PMCompleted: Dec 24, 2025, 12:00:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is franklindelco-ny.gov and was registered NaN years ago.

Submitted URL: https://franklindelco-ny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government domain with no security concerns.

Safety Factors
Well‑established domain age
Official .gov top‑level domain
Absence of malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

404 File Not Found

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'franklindelco-ny.gov' on the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'franklindelco-ny' is 16 characters long with four vowels and eleven consonants, along with 1 hyphen. Word splitting yields four words: franklin, del, co, ny. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://franklindelco-ny.gov/

Page Load Overview

1.06s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
documentation technical
34%
news media journalism
29%
healthcare medical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.231.125.22Ashburn, Virginia, United States
AS14618AMAZON-AES
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18901810EFB8E4307B3192088B1A823E0384E45539FFACCE29C142470CCC84A91A5AFFC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:Bg8nRXdKptzBD5sqpKEQu5sxgAdO88sxNbK5KMJF+qpx4lKj:uCdk31yMgn10sypxH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:840:AAAACAABAAAAgAAAAAAAAQIABAACAAAAAAAAAAEAAAgIBAAAAAAAEAEABQAAEAAgAAAEAAAACAAAAhAAAgAABAAAAAAAAAAE

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:e7c7ffffffffffff
Perceptual Hash:b3333326c6cccccc
Difference Hash:0c0c000000000000
Wavelet Hash:c0c0fcfcf0f0f0f0
Color Hash:#862d7b

Other Hashes

Crop Resistant:0c0c000000000000

Scan History

Scan history not available

Unable to load historical scan data