Security Scan Report: rollins-edu-website-ssg.pages.dev

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Submitted: May 1, 2026, 3:34:40 PMCompleted: May 1, 2026, 3:36:19 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 27 HTTP transactions. The main domain is rollins-edu-website-ssg.pages.dev and was registered NaN years ago.

Submitted URL: https://rollins-edu-website-ssg.pages.dev/news/rollins-inducts-23-new-members-of-phi-beta-kappa

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The site shows moderate risk due to an unranked, newly‑created subdomain and heavily obfuscated JavaScript, but lacks phishing or malware indicators.

Risk Factors
Unranked hosting‑platform subdomain
Unknown subdomain age
Heavy JavaScript obfuscation and eval usage
Numerous external analytics domains
Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Rollins Inducts 23 New Members of Phi Beta Kappa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(40%)

Domain Information

Domain 'rollins-edu-website-ssg.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'rollins-edu-website-ssg'. The core label 'pages' covers 5 characters holding two vowels versus three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rollins-edu-website-ssg.pages.dev/news/rollins-inducts-23-new-members-of-phi-beta-kappa

Page Load Overview

5.93s
Total Load Time
115
HTTP Requests
45
Domains
2.0 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:7,241 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
40%
news/blog
35%
corporate
35%
education learning
32%
news media journalism
31%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39188.114.96.3United States
AS13335Cloudflare, Inc.
38192.178.183.97United States
AS15169Google LLC
3834.149.250.58Kansas City, Missouri, United States
AS396982Google LLC
1153--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F663F9217712A436022383D7BBE17B5AF350924BF7514DC2F0EA8BBE1AC5F92857264D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tC4V+/YF65pQJ/fPQOqv33nsL1nb8FLjUYF65pQJ/fPQOXv33nsL1nb8FC2O1S+x:tC2+/YF65pQJ/nQOqv33nsL1nb8FLjUf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67168:IEABpJlBjlNBBBmQCPHIQN5hibESEwgYNQCWEBGMiSRxJJJhj1DkIEAWIA0EHNBAilACqYTCDGAAAkgTAxCmggBgIQHikQSs

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:00ffefffffc3c3c3
Perceptual Hash:b45b654d734d7118
Difference Hash:d11c9f1c96969696
Wavelet Hash:00c7c7cfc3c3c3c3
Color Hash:#3a6778

Scan History

Scan history not available

Unable to load historical scan data