Security Scan Report: vendorgum.ru

Redirected to:
https://dailyvending.com/wp-includes/sitemaps/uijveyb/donqst1/xflykqb/...
Submitted: Apr 10, 2026, 4:00:46 AMCompleted: Apr 10, 2026, 4:02:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is dailyvending.com and was registered NaN years ago.

Submitted URL: https://vendorgum.ru/grvjow.html

Effective URL: https://dailyvending.com/wp-includes/sitemaps/uijveyb/donqst1/xflykqb/hdjdfjhfjhfjfd.htmlRedirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 503 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

vendorgum.ru

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(50%)

Domain Information

Domain 'vendorgum.ru' uses the Russian country-code top-level domain (.ru) without a subdomain. Its registrable label 'vendorgum' stretches across 9 characters containing 3 vowels alongside 6 consonants. Word splitting yields two words: vendor, gum. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vendorgum.ru/grvjow.html

Page Load Overview

1.25s
Total Load Time
3
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:103 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism50% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
50%
real estate property
49%
healthcare medical
49%
documentation technical
46%
finance banking
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
345.130.41.77St Petersburg, St.-Petersburg, Russia
AS198610Beget LLC
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2048E77329A063D86558498E45B83099F20B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8OldR:mhoC9JSqzzbs6o3Sj3gcrsw2eAL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187144:DsAyAAgEIwlwkYEREDBOxCmQTsQAEGA5AYL4U4UCBgAO2RoPog5cIqAFAYrSnYQSYgE2LHhYyQkARQRYDMKLQWAMJyNinoBb

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4003c3c3c
Color Hash:#2d90d2

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data