Security Scan Report: a-oferta-do-dia-magal.vercel.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://a-oferta-do-dia-magal.vercel.app/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Vercel 404 deployment-not-found page with no content, no forms, no malware or threat-intel hits; the only signals are platform-level abuse tagging and unknown subdomain age, so nothing malicious on the page itself.

Risk Factors (2)
Deployment is not found; the subdomain currently serves no content, so its intended purpose cannot be verified.
Hosting-platform subdomain whose actual creation date is unknown (could be brand new).
Safety Factors (4)
No forms, password fields, or payment fields anywhere on the page.
No Indicators of Compromise, no JavaScript malware patterns, no known malicious kit.
No brand impersonation, no impersonated brand, no obfuscated script or network sink.
Generic framework error page with no user-directed content or calls to action.
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'a-oferta-do-dia-magal.vercel.app' is registered; it also runs on subdomain 'a-oferta-do-dia-magal'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://a-oferta-do-dia-magal.vercel.app/

Page Load Overview

0.13s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
32%
healthcare medical
31%
government public service
31%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BF1EA9170653A3EF2338962189B511D313CE006ED275ECA9D8A85F09ADE5E33A7FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYje5RA7XOuT24gEcy5m:SuGh84BFy571KHkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIgIoiCgWNBiLAMESIgEQyfCEAhkTFRSkFBAGCYAG4

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:b389cccc3333cccc
Difference Hash:0000000c0c00000c
Wavelet Hash:3c3c3c24242c3c24
Color Hash:#931f3c

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data