Security Scan Report: ziendehilokrtmur.vercel.app

Submitted: Sep 21, 2026, 12:45:23 PMCompleted: Sep 21, 2026, 12:45:58 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

1
Risk Score

Standard Vercel 404/deployment-not-found error page with no forms, no brand impersonation, and no malware or phishing indicators. The only signals are the unranked hosting-platform subdomain and generic IDS cloud-hosting reputation tags, which are not content evidence.

Safety Factors (4)
No credential, login, or payment forms of any kind
No brand impersonation — generic deployment error text, no third-party branding
No malicious IoCs, YARA hits, phishing kit signatures, or credential exfiltration
Page content is devoid of solicitations, downloads, or user-input requests
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain name 'ziendehilokrtmur.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'ziendehilokrtmur'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ziendehilokrtmur.vercel.app/index.html

Page Load Overview

2.25s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
news media journalism
32%
healthcare medical
32%
technology software
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143F10B9170653A3EF23389221897511C313CE007FD275EDA998A85F099DE5E33A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjF5qG7XOuT24gEcy5m:Wurh84BFynOp8WXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EebYCgg5OA0eAEJQgs4AAEjmrKEYhBAArBcAopQCrNgJSCHXQjDJgCZCbB0AjYgAoglDMDYCYCLMkhUQUnAKPASGoATVAApQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0800000c
Wavelet Hash:0f0f3f27243c3c24
Color Hash:#1f8293

Other Hashes

Crop Resistant:0000080c0800000c

Scan History

Scan history not available

Unable to load historical scan data