Security Scan Report: 9yap5maufuuo-hbk14.vercel.app

Redirected to:
https://fahy34k-hbkk.vercel.app/fb43dsfuizx8adacvdefiw.html
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://9yap5maufuuo-hbk14.vercel.app/sdfy5fxdjvcmpzok2jsd

Effective URL:
https://fahy34k-hbkk.vercel.app/fb43dsfuizx8adacvdefiw.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Meta-branded credential phishing kit on a disposable vercel.app domain: fake account-appeal form harvests name, email, phone and password. Confirmed scam.

Risk Factors (5)
Brand impersonation of Meta (Facebook Business Help Center) on a domain Meta does not own
Harvests credentials: password + multiple email/phone/name fields in an 'appeal' form
Hidden password field not rendered to the user
Randomized disposable subdomain and file path, plus redirect between random vercel.app hosts
Urgency/threat language ('account permanently deleted') demanding sensitive data
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain '9yap5maufuuo-hbk14.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain '9yap5maufuuo-hbk14'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://9yap5maufuuo-hbk14.vercel.app/sdfy5fxdjvcmpzok2jsd

Page Load Overview

5.62s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,016 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
47%
technology software
36%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
01--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B39194BB5AD6C15895C7C88C84CC7918B31DD41AA49399B3590F336F2B477F7A81638C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBxslWV/k0J8+i58+JbC4lodbokLFZDczdfsF2+qpRoWLldiAvpPeTHQU/9XUAc6:VxslWV/kkVPc+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4538:gEABGkAIEBYAshAgkQAAABIPAFBAHSAAQAAKYIRBCiB4BQBAASASgQAJFRAKSCAEVFMQYAREIAABAjQAELAsACQB1CoAgAAE

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:0000000000000000
Perceptual Hash:e633998c663399cc
Difference Hash:0000000808000000
Wavelet Hash:c0c0fce4e4fcf0f0
Color Hash:#bc79d2

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data