ScanMalware.com

Security Scan Report: provider-gswe.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5286d9fd-6f89-4e17-bfb9-9171a728b152Domain and IP registration (RDAP)/api/v1/rdap/5286d9fd-6f89-4e17-bfb9-9171a728b152How often this domain was scanned/api/v1/domain/stats/provider-gswe.vercel.appScan history for this domain/api/v1/domain/history/provider-gswe.vercel.app?limit=15
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://provider-gswe.vercel.app/

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Domain carries a single-source phishing report and sits on an unknown-age vercel.app subdomain; the page itself is only a Vercel 404 with no forms or scripts, so it cannot be verified as safe.

Risk Factors (3)
Threat-intelligence phishing report against the primary domain (single-source, unverified)
Unknown-age subdomain on a free/instant shared hosting platform where anyone can publish
Deployment is unreachable (404) so the site's real purpose cannot be verified
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), 'provider-gswe.vercel.app' is registered and includes subdomain 'provider-gswe'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://provider-gswe.vercel.app/

Page Load Overview

0.14s
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 technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%
technology software
31%
healthcare medical
31%
news media journalism
31%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112F1FA9170653A3EF2378922189B511D313CE006ED275ECA9D8A95F09EDE5E33A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:G7e9POh8/QBFytD7uYjYP5hlA7XOuT24gEcy5m:SuGh84BFy571EPrlkXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7940:YAmOklhCguG4NCaKQEWwAJxEgyLBAY4tBEBahRBJAzgYiEGGECjAGTIIAIoiCgXNBiLAMESIgEQyfCEBhkTFRSkEBAGCYAG4

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:fcfcfce420383c24
Color Hash:#d22d9b

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data