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Security Scan Report: jeawaifrio.sbs

Redirected to:
https://jeawaifrio.sbs/
Submitted: Apr 21, 2026, 11:18:27 AMCompleted: Apr 21, 2026, 11:19:40 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is jeawaifrio.sbs and was registered NaN years ago.

Submitted URL: http://jeawaifrio.sbs/

Effective URL: https://jeawaifrio.sbs/Redirected

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

The site is a high‑risk brand impersonation scam using a brand‑new, unranked domain to appear legitimate.

Risk Factors
Brand impersonation on an unranked domain
Newly registered domain (<7 days)
Lack of verifiable brand ownership
Absence of legitimate content or contact information
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(41%)

Domain Information

Domain 'jeawaifrio.sbs' uses the .sbs top-level domain while skipping any subdomain. Its registrable label 'jeawaifrio' stretches across 10 characters holding 6 vowels versus 4 consonants. Tokenizing the label suggests 3 words: jea, waif, rio. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://jeawaifrio.sbs/

Page Load Overview

6.85s
Total Load Time
12
HTTP Requests
5
Domains
484 KB
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:1,624 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping41% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
41%
news media journalism
33%
documentation technical
32%
government public service
30%
adult content
29%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
449.12.45.212Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
223.95.206.229Buffalo, New York, United States
AS36352HostPapa
2142.251.110.94United States
AS15169Google LLC
2142.251.14.95United States
AS15169Google LLC
2104.17.25.14United States
AS13335Cloudflare, Inc.
125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2A2C725B5B310725897A4E577A7438A3274D107C947CA083FAD53D08FC6EA9DAE3B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:a1AfToIQ5mQ8L7wIVq2cqT8V+ubMvtbWHV:bfTYmnL7wIVZcSdu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22085:AsdAIkRJeKSTNQCEQLCwTgEBZYCNHPAMCCAwIAFgJSYAazFgE0SgAAIlVaoQgmJsAREHywLAYASPgUCKElhAJ3oKKoFIQd0C

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:b9868b938fffe7ff
Perceptual Hash:be1ce3c20ecec961
Difference Hash:633a3a22348e0c23
Wavelet Hash:bd02020101ffe7ff
Color Hash:#3a783c

Other Hashes

Crop Resistant:633a3a22348e0c23

Scan History

Scan history not available

Unable to load historical scan data