ScanMalware.com

Security Scan Report: apps.shp.rutgers.edu

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/27085657-75d1-49f6-afda-8fffba5f1102Domain and IP registration (RDAP)/api/v1/rdap/27085657-75d1-49f6-afda-8fffba5f1102How often this domain was scanned/api/v1/domain/stats/apps.shp.rutgers.eduScan history for this domain/api/v1/domain/history/apps.shp.rutgers.edu?limit=15
This website contacted 4 IPs in 2 countries across 29 domains to perform 214 HTTP transactions. The main domain is rutgers.edu and was registered 41 years ago.

Submitted URL: https://apps.shp.rutgers.edu/projects/CourseCatalog/syllabus/view.cfm?cid=NUTR6420

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page is a legitimate Rutgers news article with no phishing or malware indicators.

Safety Factors (3)
Established university domain (rutgers.edu)
Physical address and contact information present
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

News - Rutgers - School of Health Professions

Scan Type

public

Domain Name Analysis

You're looking at domain 'apps.shp.rutgers.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'apps.shp'. The second-level label 'rutgers' is 7 characters long containing 2 vowels alongside 5 consonants. Word splitting yields 1 word: rutgers. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apps.shp.rutgers.edu/projects/CourseCatalog/syllabus/view.cfm?cid=NUTR6420

Page Load Overview

16.91s
Total Load Time
4.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:9,748 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
91%
education
45%
phishing/scam
40%
education learning
25%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
55128.6.46.189Piscataway, New Jersey, United States
AS46Rutgers, The State University
53184.24.77.152Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
53142.251.127.97Google Β· CDNUnited States
AS15169Google LLC
5323.185.0.3United States
AS54113Fastly, Inc.
2144--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A033A95B2D074F727B385E2E07FC342F23554313949C860B199A9FA28D5DE81277E3A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NVN08ssqp8LxoPiH+gB5hpgxA5tVI+1j6aaqcQVM71KQKqBhs5cPbfoWbgLfw10V:618doZfqGFBha4u747+uKeHLbiK18

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38409:KQxkqsAUxCwKYkgJBpACtBFUFYaSRQBgIhUgglx9IQAEodYRCISFhIpIJXqAWEiIC0bUAUEBCVIMwEShAYYYjIRQQgzCAWgr

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:0000ffdfffffdfff
Perceptual Hash:ad4d093c04bdc5ed
Difference Hash:32a302362e2c3e96
Wavelet Hash:0000f38387ff877f
Color Hash:#6ce089

Other Hashes

Crop Resistant:32a302362e2c3e96,000a74e5e9120000

Scan History

Scan history not available

Unable to load historical scan data