Security Scan Report: pedagiodigital-gilt.vercel.app

Submitted: Jul 3, 2026, 8:52:20 PMCompleted: Jul 3, 2026, 8:53:58 PMpubliccompleted
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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=EAIaIQobChMIo_-lpay_kwMVRmJIAB1F1QweEAAYASAAEgJOfPD_BwE

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

No malicious indicators found; low risk site with unknown age and no forms.

Risk Factors
Unknown domain age
Unranked in Cisco Umbrella
Safety Factors
Self‑branding aligns with domain
No forms or credential collection
No malicious scripts or YARA matches
No network IDS alerts
Page returns a standard timeout error, not malicious content
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Domain 'pedagiodigital-gilt.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pedagiodigital-gilt'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. 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=EAIaIQobChMIo_-lpay_kwMVRmJIAB1F1QweEAAYASAAEgJOfPD_BwE

Page Load Overview

8.10s
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
1216.198.79.131United 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

T1833174B745B1702EF33B8CFD34E637642244811BC0921F99B618EFB8E2D7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7P0:TGi9ScnwEYP0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAQAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4041c3c24
Color Hash:#aac587

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data