Security Scan Report: enroll.pennfoster.edu

Submitted: Mar 29, 2026, 4:33:18 PMCompleted: Mar 29, 2026, 4:34:54 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 1 HTTP transaction. The main domain is enroll.pennfoster.edu and was registered NaN years ago.

Submitted URL: https://enroll.pennfoster.edu

The Cisco Umbrella rank of the primary domain is #132,561 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate enrollment page for Penn Foster with no detected security threats.

Safety Factors
Long‑standing domain registration
Absence of credential or payment collection fields
Only legitimate third‑party analytics and CDN services
Cross‑origin request to a known Penn Foster authentication endpoint
Domain age information unavailable

Details

Page Title

Enroll Online

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

The domain 'enroll.pennfoster.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'enroll'. Count 10 characters in 'pennfoster' with 3 vowels and 7 consonants. Tokenizing the label suggests 2 words: penn, foster. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enroll.pennfoster.edu

Page Load Overview

2.35s
Total Load Time
101
HTTP Requests
31
Domains
1.4 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:432 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
education
45%
documentation technical
43%
education learning
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.208.3United States
AS15169Google LLC
1120.62.59.32Boydton, Virginia, United States
AS8075Microsoft Corporation
1120.49.99.74Boydton, Virginia, United States
AS8075Microsoft Corporation
11104.16.146.21United States
AS13335Cloudflare, Inc.
1118.245.59.144United States
AS16509Amazon.com, Inc.
11142.250.186.72United States
AS15169Google LLC
11142.251.141.74United States
AS15169Google LLC
11104.18.83.116United States
AS13335Cloudflare, Inc.
11150.171.109.193UnknownUnknown
1019--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3B20ADA9B4011328323A85330BB5554A4D6520BDD08EC50BEFCD29B6FD6FD624A3F6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4DCQyuusC5yC9YCEcpslWUvLtF1k26IxR7bPte/eH8xqe9eGetezWoCy:4vFClslLtF6IxR9emH8ce9eGetezZCy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23999:4E1EAyQAAoEUAFFAmhBREaGgVB4DXgJfCaoCKESARHQOCRCkCiRqNACYhENYBEKOwlFUWIDqFMCKygZIwAQCKQCi2hQhgUBA

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:fff391f1f1f9ffff
Perceptual Hash:ec6d919242d9696d
Difference Hash:902323672321000d
Wavelet Hash:52118190f0f1ffe7
Color Hash:#e06cda

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data