Security Scan Report: poll.qu.edu

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Submitted: Oct 3, 2025, 8:27:23 PMCompleted: Oct 3, 2025, 8:28:06 PMpubliccompleted
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Summary

This website contacted 21 IPs in 1 country across 8 domains to perform 30 HTTP transactions. The main domain is poll.qu.edu and was registered NaN years ago.

Submitted URL: https://poll.qu.edu/poll-release?releaseid=3933

The Cisco Umbrella rank of the primary domain is #673,014 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be a legitimate university poll release with no signs of malicious activity.

Safety Factors
Established domain age
Official educational domain
Absence of phishing or malware indicators
Domain age information unavailable

Details

Page Title

10/1/25 - Pennsylvania Gov. Shapiro Hits 60% Job Approval, Leads Republicans In 2026, 2028 Matchups, Quinnipiac University Pennsylvania Poll Finds; Dems Sour On Fetterman While GOP Voters Approve Of Him | Quinnipiac University Poll

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Screenshot

Security scan screenshot of https://poll.qu.edu/poll-release?releaseid=3933

Page Load Overview

8.85s
Total Load Time
30
HTTP Requests
8
Domains
1.7 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:19,483 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.239.34.36United States
AS15169GOOGLE
1142.250.186.142United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
1108.138.7.97United States
AS16509AMAZON-02
1142.250.74.202United States
AS15169GOOGLE
1142.250.184.232United States
AS15169GOOGLE
1104.17.25.14United States
AS13335CLOUDFLARENET
1192.152.243.67Hamden, Connecticut, United States
AS394688QUINNIPIAC-UNIVERSITY
1142.250.186.131United States
AS15169GOOGLE
1108.138.7.28United States
AS16509AMAZON-02
3021--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C948391F392352605F2D8C1D0B9FFF2A1E7829DE6905176B96C026F87CBD24F44E826

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:F8Nj+H8TjTp8jE3mFyRnnjEZ/zjiOzYI9TTjuSVQQVrTna629ZC0dg5T8NULUcB:gSVQQF29ZC0L8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:423178:czCYAJXSjhzL2YQQEise2hGTRDlRkQJCnmiBYIhURGhAiIAWjMoCIYJZKgRMAIUYACgEQxDgCucCEAEqpyh5tjMZYaTUPLQh

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:0000ffffffffffff
Perceptual Hash:b80e0c4c3cbbcdc7
Difference Hash:37e7103b38031b3a
Wavelet Hash:00008f8fdf81ff8f
Color Hash:#79a1d2

Other Hashes

Scan History

Scan history not available

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