ScanMalware.com

Security Scan Report: pedagiodigital-gilt.vercel.app

Submitted: Jul 3, 2026, 6:51:59 PMCompleted: Jul 3, 2026, 6:53:35 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is pedagiodigital-gilt.vercel.app and was registered NaN years ago.

Submitted URL: https://pedagiodigital-gilt.vercel.app/?gad_source=1&gad_campaignid=23701071115&gbraid=0AAAAABj7A7GGNyNQo8doKclvKDnkewLoo&gclid=EAIaIQobChMI0K7c96zAkwMVNEFIAB38WTvLEAAYAiAAEgLT0vD_BwE

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Site shows no malicious activity; low risk despite unknown subdomain age.

Risk Factors
Unranked domain (no reputation data)
Subdomain age unknown
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or obfuscation
No external domain requests or exfiltration observed
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

You're looking at domain 'pedagiodigital-gilt.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'pedagiodigital-gilt'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pedagiodigital-gilt.vercel.app/?gad_source=1&gad_campaignid=23701071115&gbraid=0AAAAABj7A7GGNyNQo8doKclvKDnkewLoo&gclid=EAIaIQobChMI0K7c96zAkwMVNEFIAB38WTvLEAAYAiAAEgLT0vD_BwE

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:786 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
52%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1713152B745B1702EF33B88FE34E633686244951BC0920F99B618ABF8E2D7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7u80:TGi9ScnwEYN0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIEADAASACBAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4041c1c04
Color Hash:#3a4b78

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data