Security Scan Report: andreaguarino1989.vercel.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 5 domains to perform 9 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://andreaguarino1989.vercel.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows no malicious indicators and only contains a harmless filler‑text generator; low risk.

Safety Factors (3)
Self‑branding matches site content
No forms collecting sensitive data
No malicious external resources or redirects
Domain age information unavailable

Details

Page Title

Hipster Ipsum – Artisanal filler text for your project.

Scan Type

public

Domain Name Analysis

The domain 'andreaguarino1989.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'andreaguarino1989'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://andreaguarino1989.vercel.app/

Page Load Overview

3.30s
Total Load Time
46 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:1,679 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
entertainment media
64%
documentation technical
62%
healthcare medical
49%
social media network
32%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.195United States
AS16509Amazon.com, Inc.
91--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4D28521F511B0BB3B378A3C72E4F9C962258181CD0A07EDBB13A461B3CB6E745A3795

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:MR+SVXcsuv9Z1zXDzfjuowdv77UMEb8m/u/l+h5LsYq:yVXcsupDbjuv7do8mG/KIz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30673:UNSiQQgBvIK1EAEMMtXpbomSCmEBEEzCZAAMZBgG3AndLDggCxSQUAAkCQwbQERCFhBiAQYA+yDgB4MQAzgVIyUGHiSow51A

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:18e7c7c7c7c7e7ef
Perceptual Hash:b30f8f0e0f0b6659
Difference Hash:600c8e0e1e0c1c08
Wavelet Hash:00c2c6c6c7c7c7c7
Color Hash:#4a40bf

Other Hashes

Crop Resistant:600c8e0e1e0c1c08

Scan History

Scan history not available

Unable to load historical scan data