Security Scan Report: cypp.rutgers.edu

Submitted: Dec 10, 2025, 3:37:19 AMCompleted: Dec 10, 2025, 3:38:13 AMpubliccompleted
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Summary

This website contacted 40 IPs in 2 countries across 11 domains to perform 39 HTTP transactions. The main domain is cypp.rutgers.edu and was registered NaN years ago.

Submitted URL: https://cypp.rutgers.edu/office/malala-yousafzai/

The Cisco Umbrella rank of the primary domain is #53,502 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university page with no security concerns.

Safety Factors
Established academic institution (Rutgers University)
Reputable .edu subdomain
No suspicious redirects or external links
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Malala Yousafzai - Center for Youth Political Participation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(47%)

Domain Information

Domain 'cypp.rutgers.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'cypp'. The registrable portion 'rutgers' spans 7 characters split between 2 vowels and five consonants. Splitting it apart reveals one word: rutgers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cypp.rutgers.edu/office/malala-yousafzai/

Page Load Overview

11.23s
Total Load Time
39
HTTP Requests
11
Domains
991 KB
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:2,488 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning47% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
47%
education
45%
social media network
26%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39162.247.241.14United States
AS23467NEWRELIC-AS-1
0216.58.206.46United States
AS15169GOOGLE
0162.247.243.39United States
AS54113FASTLY
0142.250.184.234United States
AS15169GOOGLE
0142.250.74.200United States
AS15169GOOGLE
03.160.150.71United States
AS16509AMAZON-02
0104.18.11.207United States
AS13335CLOUDFLARENET
0216.239.34.36United States
AS15169GOOGLE
03.171.214.119United States
AS16509AMAZON-02
018.192.225.233Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3940--

Detected Technologies12

100%
JQueryv3.6.1
100%
100%
50%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147632BD72ADD687A53A351E9F43AA14CF22E1072AD058C90FBEC87D86B81ED8446353D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:N8PyXKSy7KVDNqIP8ctpxe2Tifg1jiCDTg1ci9KZGO5:gyXKSykDNqIP8We2TiEc1ci9dO5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67754:Ukal7aAAhCY2ho40FCCgwCVA3iCUWgoACCJdowlAyEAR6UE4kaFYxqILEdIcjAiSjFQkWTmiUKQMQlsRQYNMTBw9SSRAQIJv

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:fc0000dfdfffffff
Perceptual Hash:f45243d0dcd6d352
Difference Hash:8ccbc934b62c0e0e
Wavelet Hash:600000d7c3cff7f7
Color Hash:#79d2aa

Scan History

Scan history not available

Unable to load historical scan data