Security Scan Report: dfbaklgbh27eo-bhz25.vercel.app

Redirected to:
https://ixkd09-hbk25.vercel.app/100045634734379/fbgw3gq354gwvresadfv.h...
Submitted: Sep 26, 2026, 12:45:46 PMCompleted: Sep 26, 2026, 12:46:21 PMpubliccompleted

This website contacted 6 IPs in 1 country across 5 domains to perform 22 HTTP transactions. The main domain is ixkd09-hbk25.vercel.app and was registered 10 years ago.

Submitted URL: https://dfbaklgbh27eo-bhz25.vercel.app/fqyw1cnmkl5adkgol.html

Effective URL:

https://ixkd09-hbk25.vercel.app/100045634734379/fbgw3gq354gwvresadfv.h...
Redirected

AI Security Verdict

High Risk

Confidence: 76%

8
Risk Score

Unranked random vercel.app subdomain chained across redirects, serving a cloaked decoy page and a hidden password/email form. Consistent with a credential-phishing kit — do not enter any login details.

Risk Factors (5)
Credential-collecting form (password + email fields) on a throwaway shared-hosting subdomain with no known brand owner
Decoy/challenge page titled 'Meta Business Help Center' served to scanners indicates brand-abuse cloaking, not generic bot protection
Random machine-generated subdomain names chained across redirects on a free hosting platform
External IP-lookup call to ipapi.co plus obfuscated 'Loading' landing shell typical of kit bootstrappers
Domain is unranked in Cisco Umbrella and the subdomain creation date is unknown (platform apex age is not attributable to this page)
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

You're looking at domain 'dfbaklgbh27eo-bhz25.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'dfbaklgbh27eo-bhz25'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Tokenizing the label suggests 2 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 https://dfbaklgbh27eo-bhz25.vercel.app/fqyw1cnmkl5adkgol.html

Page Load Overview

0.32s
Total Load Time
547 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:12 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
226--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F19143B758C2A0449BD81CCDC4C8390E625BD95608C1FFE6528B632DD7267F5FC962C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWVmK/1p6F6swvNuit7pCVjiwtp+41:TBxslWV/k6sw9t7pCZftc41

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4590:gOEFMAMAERIYcgAAkAQDAAQAQhABgICCBAAjSSJIKAAIAwAARQASoKAIAAECgAUIwEAAAAQDkAALC2AGAGIkEGUAlAgIhgAI

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:ffffffe7e7ffffff
Perceptual Hash:e699992666999966
Difference Hash:0000000808000000
Wavelet Hash:3c3c3c24273f0f0f
Color Hash:#79d2c2

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data