Security Scan Report: www.seneca-falls.ny.us

Submitted: Dec 23, 2025, 4:14:04 PMCompleted: Dec 23, 2025, 4:14:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is seneca-falls.ny.us and was registered NaN years ago.

Submitted URL: https://www.seneca-falls.ny.us/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no detected threats.

Safety Factors
Long‑standing government domain
No suspicious content or phishing indicators
No external links or redirects
Domain age information unavailable

Details

Page Title

Community page for Seneca Falls

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

unknown

(0%)

Domain Information

Within the United States country-code top-level domain (.ny.us), 'www.seneca-falls.ny.us' is registered and includes subdomain 'www'. The registrable portion 'seneca-falls' spans 12 characters split between 4 vowels and 7 consonants, along with 1 hyphen. Breaking it apart gives 2 words: seneca, falls. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.seneca-falls.ny.us/

Page Load Overview

2.29s
Total Load Time
5
HTTP Requests
2
Domains
5 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:981 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.36.162.86Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2192.55.226.195Ithaca, New York, United States
AS23086POUNDBANG-HOSTING
52--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D31CC4EA503D33719C6830C7C8E33B436FBE7940B25504896712295E6B2294CC77E4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:09ifpfLle0oHwUSHDfcN0uQauL5ltwbebnL37QPVwU:hYMkAw+bMP/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1670:AAkAAABAgAAgAAIQAACABAAQAAQIAACAAAIAAQAQAAggAAAAACAAAAIAgQCAAAAIBAAAACoiAEAAAAAAAAABQAAEMAIAAAAA

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:7f0f0707070707ff
Perceptual Hash:b659c926c876c3d1
Difference Hash:d4bcbc2c8cececd0
Wavelet Hash:3f070707070707ff
Color Hash:#79d27c

Scan History

Scan history not available

Unable to load historical scan data