Security Scan Report: www.rutgers-swe-project.vercel.app

Redirected to:
https://rutgers-swe-project.vercel.app/
Site favicon
Submitted: Sep 14, 2026, 12:45:41 PMCompleted: Sep 14, 2026, 12:47:20 PMpubliccompleted

This website contacted 6 IPs in 1 country across 3 domains to perform 15 HTTP transactions. The main domain is rutgers-swe-project.vercel.app and was registered 14 years ago.

Submitted URL: http://www.rutgers-swe-project.vercel.app/

Effective URL:

https://rutgers-swe-project.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 55%

7
Risk Score

This site uses another company's official icon to pass itself off as them — rated high risk on that basis.

Risk Factors (2)
Amazon favicon used on a domain not owned by Amazon — brand asset borrowed for a differently-named store
Hosted on a free, instantly-publishable PaaS namespace (.vercel.app) with no published creation date for the tenant
Domain age information unavailable

Details

Page Title

© Anzom

Scan Type

public

Domain Name Analysis

The domain 'www.rutgers-swe-project.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.rutgers-swe-project'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.rutgers-swe-project.vercel.app/

Page Load Overview

16.65s
Total Load Time
61 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:145 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
51%
technology software
48%
news media journalism
30%
healthcare medical
27%
documentation technical
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
156--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E910D2B58F0202B025201CE29FED322BEC2550BC609B051B5BF1BDD6FD2E422827D7E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGjM9527JBxGz/nfU5RmTJBCxorZqtJmSPEDjF4Hi0PZAAE:T4M9aJB+/nfMRmTJBCxor0mFB4HPLE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4461:MESUUgSgAMBACwQAQACQJCgpTBAAAABwIIAAMkIRyKIFHEQAMJABBEAQY4DsEAAEFFQFKADIskCIKIEAQESAgAYIAAAIIMlA

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:00ffffffffffff00
Perceptual Hash:87550755075d075f
Difference Hash:e0000000000000c0
Wavelet Hash:00ff3030f0f0ff00
Color Hash:#e06c92

Other Hashes

Crop Resistant:e0000000000000c0

Scan History

Scan history not available

Unable to load historical scan data