Security Scan Report: www.onlib.org

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Submitted: Dec 11, 2025, 1:30:12 PMCompleted: Dec 11, 2025, 1:31:18 PMpubliccompleted
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Summary

This website contacted 33 IPs in 2 countries across 9 domains to perform 121 HTTP transactions. The main domain is onlib.org and was registered NaN years ago.

Submitted URL: https://www.onlib.org/

The Cisco Umbrella rank of the primary domain is #957,929 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate public library website with no apparent security threats.

Safety Factors
Long‑standing domain registration
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Onondaga County Public Libraries

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

education learning

(58%)

Domain Information

You're looking at domain 'www.onlib.org' on the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 5 characters in 'onlib' with 2 vowels and 3 consonants. Tokenizing the label suggests 2 words: on, lib. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.onlib.org/

Page Load Overview

24.68s
Total Load Time
121
HTTP Requests
9
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:10,684 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
58%
news media journalism
51%
government public service
36%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25142.250.185.206United States
AS15169GOOGLE
399.84.152.71United States
AS16509AMAZON-02
399.84.152.6United States
AS16509AMAZON-02
3216.239.34.36United States
AS15169GOOGLE
3142.250.184.227United States
AS15169GOOGLE
3192.169.149.22United States
AS398101GO-DADDY-COM-LLC
318.213.162.18Ashburn, Virginia, United States
AS14618AMAZON-AES
3104.17.24.14United States
AS13335CLOUDFLARENET
399.84.152.5United States
AS16509AMAZON-02
3142.250.184.200United States
AS15169GOOGLE
12133--

Detected Technologies4

100%
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115B35131E081612B42A796C97524E72EA3D3D61EDF430E05FBFC8B939BC7F458926129

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Dy5SqRhY0lAH2Mbg6dRzqghVAt9etnizOvEdZtAt9eNv:Dy5SqRhY0lADbIgrAt9ex8Ov2ZtAt9eN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109382:DEyBwihgkElqwKIyAiJIgKGAMsAiMAkThI2AkGgxziVWGMMJ0YIAhgASRKlQWABYFAOg3W0Q4zjYAoRBwKGZxoIVZZBkFIBC

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:000000e76d1effff
Perceptual Hash:b31ae51ae36c1c65
Difference Hash:4959770f49b9474f
Wavelet Hash:00000085eddfffff
Color Hash:#3a4c78

Scan History

Scan history not available

Unable to load historical scan data