Security Scan Report: mssdold.vercel.app

Redirected to:
https://mssdold.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://mssdold.vercel.app

Effective URL:
https://mssdold.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

The site hosts a known Poczta webmail phishing kit with a credential‑stealing login form on an untrusted subdomain, confirming a credential phishing scam.

Risk Factors (3)
Credential harvesting form on untrusted subdomain
Impersonation of a well‑known mail service (Poczta/WP)
Presence of analyst‑vetted phishing kit signature
Domain age information unavailable

Details

Page Title

Poczta - Najlepsza Poczta, największe załączniki - WP

Scan Type

public

Domain Name Analysis

The domain 'mssdold.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'mssdold'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Breaking it apart gives 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 http://mssdold.vercel.app

Page Load Overview

0.39s
Total Load Time
87 KB
Total Size

Language Analysis

Primary Language

🇵🇱Polish
Code: pl
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Text Length:443 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business79% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
79%
news media journalism
76%
government public service
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131United States
AS16509Amazon.com, Inc.
3212.77.98.32Gdansk, Pomerania, Poland
AS12827Wirtualna Polska Media S.A.
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0B273735161332C950BD92867B4174AA256E42BE58F62C4B6BE1724DFC7E82CDB328C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:q9VCZtw6DhmFS5oWgCxhKMrAAwBX+U5XiFr:q9VoUS5oKpraKr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24136:mcsUEEWoFDFgSsEBDI9hADQwqQlMLgBaAAJCCIQxSBIMIKGAdKTwTUBJMCM0KaCEBABioAxBSjsDCCAUAKFiYJQCAZh+6XpY

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:fff3cbf3c3c3ffff
Perceptual Hash:ec9a9365e69a3838
Difference Hash:8646b22686964400
Wavelet Hash:ffa1012181c1c3ff
Color Hash:#acac53

Other Hashes

Crop Resistant:8646b22686964400

Scan History

Scan history not available

Unable to load historical scan data