Security Scan Report: www.senecafallscsd.org

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Submitted: Dec 23, 2025, 4:15:07 PMCompleted: Dec 23, 2025, 4:15:59 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 11 domains to perform 57 HTTP transactions. The main domain is senecafallscsd.org and was registered NaN years ago.

Submitted URL: https://www.senecafallscsd.org/district-calendar

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate school district calendar page with no security concerns.

Safety Factors
Established domain age (>8 years)
Official school district domain
No suspicious forms or data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

District Calendar - Seneca Falls Central School District

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(41%)

Domain Information

Domain 'www.senecafallscsd.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'senecafallscsd' spans 14 characters containing four vowels alongside ten consonants. Tokenizing the label suggests 3 words: seneca, falls, csd. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.senecafallscsd.org/district-calendar

Page Load Overview

3.54s
Total Load Time
57
HTTP Requests
11
Domains
1.6 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-US
Text Length:11,266 chars
Detector Agreement:60%

Website Classification

Primary Category

education learning41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
41%
government public service
32%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.17.166.123United States
AS13335CLOUDFLARENET
3216.58.209.168United States
AS15169GOOGLE
354.245.128.94Boardman, Oregon, United States
AS16509AMAZON-02
3104.17.163.123United States
AS13335CLOUDFLARENET
3104.18.38.142United States
AS13335CLOUDFLARENET
3104.18.28.155United States
AS13335CLOUDFLARENET
3104.18.29.155United States
AS13335CLOUDFLARENET
316.146.187.81Boardman, Oregon, United States
AS16509AMAZON-02
3104.16.80.73United States
AS13335CLOUDFLARENET
3216.58.209.170United States
AS15169GOOGLE
5717--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181938552B9C8183BC33B53D9B4212FE961A3826AC91B490177BD1B511FE5CA67F0E18F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:iAJNSSuGX3z4/vj3GamsdBK+Rf12WdIkOGFFTVqRmEOSinx/JnEe62An:Mi3EtmsdBKsfh/pV+mlSinx/JG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94262:gPJ5jAB0AIRomgISAUdKIxgQwTESNQTIRC4AM0QpCCDD3OR0jwzAggwABUA3FDcCDEAkADygRxDFlxgR/EgIwzVFJQYOlcQz

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:0000d3c3dfffffff
Perceptual Hash:b83c4713383ce793
Difference Hash:3b693616114b2b02
Wavelet Hash:0000d3c1cfe3ffe3
Color Hash:#d279bb

Scan History

Scan history not available

Unable to load historical scan data