Security Scan Report: aumentocolombia.vercel.app

Submitted: Jul 3, 2026, 3:52:17 PMCompleted: Jul 3, 2026, 3:53:52 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 aumentocolombia.vercel.app and was registered NaN years ago.

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Site is flagged by Google Safe Browsing for social engineering; treat as high‑risk phishing and avoid.

Risk Factors
Safe Browsing Social Engineering detection
Unknown subdomain age on a public hosting platform
Unranked domain reputation
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 'aumentocolombia.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'aumentocolombia'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.11s
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:774 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

technology software
77%
documentation technical
51%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131United 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

T1693174B745B1702EF33B88FD34E637686244851BC0421F59B518ABB8E2C7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7/0:TGi9ScnwEY/0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:3c3c3c24070f0f07
Color Hash:#aac587

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

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