ScanMalware.com

Security Scan Report: www.prses.be

Redirected to:
https://onet-auth.vercel.app/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5bf2798f-9d12-488f-a89b-cf3a2586dc48Domain and IP registration (RDAP)/api/v1/rdap/5bf2798f-9d12-488f-a89b-cf3a2586dc48How often this domain was scanned/api/v1/domain/stats/prses.beScan history for this domain/api/v1/domain/history/prses.be?limit=15
This website contacted 3 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is prses.be and was registered 2 years 3 months ago.

Submitted URL: https://www.prses.be/

Effective URL:
https://onet-auth.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Safe Browsing flags this URL for Social Engineering; prses.be redirects to an 'onet-auth' vercel.app subdomain now serving a 404. No forms were captured, but the flagged redirect chain is phishing-typical — avoid.

Risk Factors (3)
Google Safe Browsing Social Engineering detection on the scanned URL
Cross-domain redirect from prses.be to an 'onet-auth' subdomain on vercel.app
Final destination is a dead deployment error page on actor-abused cloud hosting, typical of disposable phishing infrastructure
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.prses.be' on the Belgian country-code top-level domain (.be) and includes subdomain 'www'. The registrable portion 'prses' spans 5 characters containing one vowel alongside four consonants. Tokenizing the label suggests two words: prs, es. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

This page doesn’t exist It may have been moved, removed, or never existed. 494 DEPLOYMENT_NOT_FOUND arnd: :6985-1793918834582-31e85e6697c4 VIEW DOCUMENTATION / COPY DEBUG PROMPT

Page Load Overview

0.30s
Total Load Time
4 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%
government public service
31%
technology software
31%
news media journalism
30%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1213.32.10.205France
AS16276OVH SAS
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Detected Technologies2

PHPv8.4
40%
Apache HTTP Server
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FF1EA9170613A3EF2338922189B511D313CE007FD275ECB9D8A85F09ADE5E23A2FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYj45XA7XOuT24gEcy5m:SuGh84BFy571cVkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOElhCguG4NCeKQEWwAJxEgyLBAY4tBEDahRBJAzgYiEGGECjBGTIIAIoiCgWNBiLAMkSIgEQyfCEAhkTFRSkEBAGCYAG4

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:fcfcfce400183c24
Color Hash:N/A

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data