Security Scan Report: www.mismates27272.vercel.app

Redirected to:
https://mismates27272.vercel.app/
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Submitted: Oct 7, 2026, 12:45:35 PMCompleted: Oct 7, 2026, 12:47:23 PMpubliccompleted

This website contacted 20 IPs in 3 countries across 15 domains to perform 19 HTTP transactions. The main domain is mismates27272.vercel.app and was registered 10 years ago.

Submitted URL: http://www.mismates27272.vercel.app/

Effective URL:

https://mismates27272.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Facebook login on a Vercel subdomain uses a 'sexual content detected' scare to harvest email/password and posts them cross-origin to marines.materiales.site/pasta.php. Definitive credential phishing.

Risk Factors (5)
Impersonation of Facebook's brand and login UI on a domain that is not facebook.com
Password + email harvested and POSTed cross-origin to marines.materiales.site/pasta.php (credential exfiltration)
Hidden 'hash' field in the credential form, typical of copy-pasted phishing kits
Fear/urgency lure text about 'highly sexual content' used to justify a re-login
Free subdomain on abused cloud hosting platform with unranked reputation and unknown age
Domain age information unavailable

Details

Page Title

Foottooos D1sscrettaass

Scan Type

public

Domain Name Analysis

The domain 'www.mismates27272.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.mismates27272'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Splitting it apart reveals two 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 http://www.mismates27272.vercel.app/

Page Load Overview

1.81s
Total Load Time
601 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:222 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
99%
adult content
98%
phishing scam
63%
documentation technical
34%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.250.154.97Google · CDNUnited States
AS15169Google LLC
0195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.26.5.7Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.20.41.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.10.2Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.127.138Google · CDNUnited States
AS15169Google LLC
1920--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE625C5BADC64443900394A463F7EB082D7AE507E116CD6E3AEC37A4AFC1BE6459339C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+KneBtNNuMMFDAC0n3pYiPJeGUf2VE7cdhcIGO5tlR/enXJPc/6+Kkemh+cMhl:+KwtzMF9o0TBnpi6+KtHcOl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14612:LESnKIUhAhQCABLIAgQ3FgCKQZVOgAwkJBNiBilBzU6pnYDGyAnUMS4CChCQWaIYSugBsCIAtFiCTBACQwwoECAMAEWYKiwg

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:0018181800000000
Perceptual Hash:99d9666666339989
Difference Hash:4cb2b2320c300000
Wavelet Hash:e4fcfcfc20383030
Color Hash:#785b3a

Scan History

Scan history not available

Unable to load historical scan data