Security Scan Report: kr9j3urz4jdf25bollg.vercel.app

Redirected to:
https://xnug56585-h25.vercel.app/10003462346989/qsMJa1dvgLlRjLqIBW.htm...
Submitted: Sep 27, 2026, 12:45:11 PMCompleted: Sep 27, 2026, 12:45:41 PMpubliccompleted

This website contacted 9 IPs in 1 country across 5 domains to perform 22 HTTP transactions. The main domain is xnug56585-h25.vercel.app and was registered 10 years ago.

Submitted URL: https://kr9j3urz4jdf25bollg.vercel.app/fsmn345rnefdzbxcq2vxthy.html

Effective URL:

https://xnug56585-h25.vercel.app/10003462346989/qsMJa1dvgLlRjLqIBW.htm...
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Random Vercel subdomain hosts a credential form with a hidden password field and an ET PHISHING IDS alert. No brand impersonation, but suspicious infrastructure warrants avoidance.

Risk Factors (5)
Hidden password field in HTML
Credential/password form (1 password, 7 email) on shared hosting platform with unknown subdomain age
ET PHISHING Suricata alert (possible phish)
Random subdomain names and multiple redirects (3)
Bot protection bypass / scanner-client content mismatch combined with credential form
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain 'kr9j3urz4jdf25bollg.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'kr9j3urz4jdf25bollg'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kr9j3urz4jdf25bollg.vercel.app/fsmn345rnefdzbxcq2vxthy.html

Page Load Overview

3.57s
Total Load Time
549 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 network50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
50%
technology software
30%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
229--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130A1C4E32DC18D44A9C89C8482DD7E187359FE9A59813D63B687309D9F17EDEA428288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWFmpr/1p6F3yz7eqOJmMp+43P:TBxslWFyRk3QamMc4/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5065:RYIhAAhAE5SEMgIatKHEAAACgAIBwQAgQgAUQyfRyCAhAqoAMKBJJAAEFAECAYQAwEhBIgCxFEoECgQAoCIoC2UEtCgCgAUE

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:#a787c5

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data