Security Scan Report: ne9zamhahlvxti5bgc.vercel.app

Redirected to:
https://tfir22921-c23.vercel.app/10005467799922/qa0PxUGd0eKxsPNB.html
Submitted: Aug 24, 2026, 12:45:13 PMCompleted: Aug 24, 2026, 12:46:21 PMpubliccompleted

This website contacted 1 IP in 1 country across 3 domains to perform 3 HTTP transactions. The main domain is tfir22921-c23.vercel.app and was registered 14 years ago.

Submitted URL: https://ne9zamhahlvxti5bgc.vercel.app/sfdgnw45tesrdbfdvbsdnhg

Effective URL:

https://tfir22921-c23.vercel.app/10005467799922/qa0PxUGd0eKxsPNB.html
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk site impersonating Meta with a hidden password field; likely credential phishing.

Risk Factors (4)
Brand impersonation of a major entity
Credential form on unknown‑age subdomain
Unranked hosting subdomain
Hidden password field
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

You're looking at domain 'ne9zamhahlvxti5bgc.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ne9zamhahlvxti5bgc'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Tokenizing the label suggests 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 https://ne9zamhahlvxti5bgc.vercel.app/sfdgnw45tesrdbfdvbsdnhg

Page Load Overview

0.90s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,015 chars
Detector Agreement:75%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
52%
technology software
30%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131United States
AS16509Amazon.com, Inc.
31--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CC14BB360E9531082D54DAC40DB3A4C760A940FCCA516F263B73299139FED2DB6F69E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBxslWFRkgNdjsJVlZbdWx7HmE6lU7DRNIyFqxQXwfe7+VvzNv/rl+SZszCfaEJf:VxslWFRkgNdjsJVlpdWx7HmE6lWDRNIp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5790:QgGTgCVUZXC4EkWAgB0AwIQQAADCASBCUwIEQBlADSoAAABGABVEEwAAAFDiDYGCmSYRFwIIKIQCJhFKqMCgJCUChAEbAoAJ

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:fff7ffa7a7fff7ff
Perceptual Hash:a632d9c92636d9c9
Difference Hash:0008000c0c000800
Wavelet Hash:30303c04c4fcfcfc
Color Hash:#2d864c

Other Hashes

Crop Resistant:0008000c0c000800

Scan History

Scan history not available

Unable to load historical scan data