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Security Scan Report: admissions.upenn.edu

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Submitted: Oct 31, 2025, 6:57:11 PMCompleted: Oct 31, 2025, 6:59:04 PMpubliccompleted
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Summary

This website contacted 25 IPs in 2 countries across 8 domains to perform 19 HTTP transactions. The main domain is admissions.upenn.edu and was registered NaN years ago.

Submitted URL: https://admissions.upenn.edu/how-to-apply/first-year-applicants

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate university admissions page with no security concerns.

Safety Factors
Official University domain
Long‑standing domain registration
Absence of suspicious forms or scripts
Domain age information unavailable

Details

Page Title

First-Year Applicants | Penn Admissions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'admissions.upenn.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'admissions'. The second-level label 'upenn' is 5 characters long with 2 vowels and three consonants. Tokenizing the label suggests two words: u, penn. Median word length is 2.5 characters. The linguistic tilt is Bosnian for 'u'. It also appears in Croatian and Serbian contexts.

Screenshot

Security scan screenshot of https://admissions.upenn.edu/how-to-apply/first-year-applicants

Page Load Overview

65.63s
Total Load Time
19
HTTP Requests
8
Domains
285 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
Text Length:3,322 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
education learning
37%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.18.40.68United States
AS13335CLOUDFLARENET
0142.250.186.99United States
AS15169GOOGLE
0142.250.185.202United States
AS15169GOOGLE
0172.217.18.8United States
AS15169GOOGLE
023.185.0.4United States
AS54113FASTLY
034.198.122.35Ashburn, Virginia, United States
AS14618AMAZON-AES
0108.138.7.33United States
AS16509AMAZON-02
02606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
02a06:98c1:3101::ac40:93bcUnited States
AS13335CLOUDFLARENET
1925--

Detected Technologies10

MetaGenerator
100%
Drupalv10
80%
PHP
50%
Nginx
50%
MariaDB
50%
Fastly
50%
Pantheon
40%
HSTS
40%
Font Awesome
40%
Google Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2F234D399E02536011390E263E9A29DE991C06BDD471C8D75FC63648F9BE13AFE3B09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fQSpmNagddf0D70MMEEB/VYwcQaaasR1z2Y876aW0OWfzE9KBJSqsFxa9Im5/d0i:f5fg3f0D7fMEEB9YwcQxasR1z2Y8WaWG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36801:gCDAlLRKAC9sEShFGqgAqXGI3YqaGFjwjEZ8VjAATJBIWkSESgEguwKQOzDEYuMFjBUoCEOhAgBBgOtBkYDC2AJoqiB0AdHj

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:00008181f7ffffef
Perceptual Hash:ba1c14c46369bc9f
Difference Hash:9c3d330f4f2e5f4d
Wavelet Hash:00008181e3ffffef
Color Hash:#ae87c5

Other Hashes

Crop Resistant:9c3d330f4f2e5f4d,d4cacc6421607050,a5c4e4ccc9c86c5e,cc9cb929351f4f4f,2956a9a8a8d82340

Scan History

Scan history not available

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