ScanMalware.com

Security Scan Report: emprestimosimgl.vercel.app

Site favicon
Submitted: Jul 20, 2026, 3:51:49 AMCompleted: Jul 20, 2026, 3:53:33 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is emprestimosimgl.vercel.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics Serasa branding on an unranked Vercel subdomain but lacks credential forms or malware; treat as moderate risk.

Risk Factors
Brand impersonation without legitimate affiliation
Unknown subdomain age on a hosting platform
Unranked domain
Safety Factors
No malicious scripts or network alerts
No forms collecting credentials or payments
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

serasa

Scan Type

public

Language

🇵🇹

Portuguese

(47% confidence)

Category

education learning

(100%)

Domain Information

Domain 'emprestimosimgl.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'emprestimosimgl'. The core label 'vercel' covers 6 characters with 2 vowels and 4 consonants. Breaking it apart gives 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://emprestimosimgl.vercel.app/

Page Load Overview

1.05s
Total Load Time
22
HTTP Requests
11
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:47%
Script Type:Latin
HTML Lang Attribute:en
Text Length:244 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

education learning100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
100%
news media journalism
99%
blog personal website
99%
finance banking
97%
healthcare medical
97%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.110.97Google · CDNUnited States
AS15169Google LLC
5172.67.68.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5216.198.79.3United States
AS16509Amazon.com, Inc.
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
224--

Detected Technologies6

Google-AnalyticsvUniversal
100%
Google Tag Manager
50%
Vercel
40%
HSTS
40%
Google Analytics
35%
Facebook Pixel
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C1252925E55783FA43258EBF373F214B64B610FF8A2D965F4AC4234AF86C86D803875

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MBatNsfikwzvONhdmwF2RgNtjYFAb7y+Qo7W+A7W+A7W+A7W+e7W+rbal:nt/zvia8eC5HAHAHAHeHvU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9019:Z5RRcIQmZXASGW9y4RAEpmBgBYoGwA5MLBoDVKFCAOhTQClRHkA8QKBBAkwMpiR+4AQAFAAEGNsgoPACQ0zwJBLXtMIgKC3R

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:e7e7e7e7e7e7e7e7
Perceptual Hash:f3778acc33338c22
Difference Hash:0c0c0c0c0c0e0c0d
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#d279a0

Other Hashes

Crop Resistant:0c0c0c0c0c0e0c0d

Scan History

Scan history not available

Unable to load historical scan data