Security Scan Report: dtzibmyjqoqmzej2cot.vercel.app

Redirected to:
https://oamm50lake-h01e.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 6 domains to perform 22 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://dtzibmyjqoqmzej2cot.vercel.app/hfgdkjmd456thwsfedvf

Effective URL:
https://oamm50lake-h01e.vercel.app/10025078036/hsg5hwabt3bgfdsht5dfA.h...
Redirected

AI Security Verdict

High Risk

Confidence: 75%

8
Risk Score

Bare 'Home' page on a free Vercel tenant using cloaking, redirect chains, IP-geolocation lookups and a hidden password/email form — consistent with a credential-phishing kit; do not enter any credentials.

Risk Factors (6)
Credential form (password + multiple email fields) on a shared hosting-platform subdomain of unknown creation date
Cross-subdomain redirect chain and cloaked/bot-differentiated content on a credential page
Hidden password input not visible to the user
IP-geolocation lookups (ipapi.co, ipwho.is) consistent with phishing-kit victim fingerprinting
IDS phishing signature and abused-cloud-hosting alerts
Cloaked page references 'Meta Advertising Standards', suggesting impersonation of Meta in the phishing lure
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'dtzibmyjqoqmzej2cot.vercel.app' is registered and includes subdomain 'dtzibmyjqoqmzej2cot'. Count 6 characters in 'vercel' split between two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dtzibmyjqoqmzej2cot.vercel.app/hfgdkjmd456thwsfedvf

Page Load Overview

1.52s
Total Load Time
633 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:vi
Text Length:4,012 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
57%
technology software
37%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.175.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
227--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEC15B73ADD801520DC2CAD4D4C93718B29FC52B4AE5DE23B116165C6B6BBE7FC2628C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+a0slWFmqr/1p6FSuMm9VJysNF6O5W05sIHop+42:TBxSlWFzRkOmV6eW05Ac42

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5840:M8QBGoQESACZkmSS4SIpJGAcA5YaZhQAAEoMCAhICAADEAFBYAIAAQEwARKDAyAgQCJApEBgKmKAEzQICYAAMiXJpIIMUkDA

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:fffffff7e7ffffff
Perceptual Hash:e689996666999966
Difference Hash:0000000808000000
Wavelet Hash:f0f0f8e0243c3c3c
Color Hash:#e06c6c

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data