Security Scan Report: vend.se

Redirected to: https://vend.com/

Submitted: Nov 25, 2025, 10:02:13 AMCompleted: Nov 25, 2025, 10:05:35 AMpubliccompleted
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Summary

This website contacted 65 IPs in 2 countries across 10 domains to perform 94 HTTP transactions. The main domain is vend.com and was registered NaN years ago.

Submitted URL: https://vend.se/

Effective URL: https://vend.com/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no observable security concerns.

Safety Factors
Long‑standing domain reduces likelihood of phishing
Absence of credential‑harvesting or payment collection forms
No external malicious links detected
No noindex tags or hidden fields
Domain age information unavailable

Details

Page Title

Vend

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(73%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'vend.se' is registered. The registrable portion 'vend' spans 4 characters holding one vowel versus three consonants. Splitting it apart reveals 1 word: vend. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vend.se/

Page Load Overview

0.54s
Total Load Time
94
HTTP Requests
10
Domains
93.8 MB
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:3,357 chars
Detector Agreement:75%

Website Classification

Primary Category

news media journalism73% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
73%
documentation technical
64%
corporate business
60%
blog personal website
58%
government public service
54%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5434.120.55.4Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3054.192.35.88United States
AS16509AMAZON-02
1218.245.60.22United States
AS16509AMAZON-02
7146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
454.192.35.34United States
AS16509AMAZON-02
313.33.187.102New York, New York, United States
AS16509AMAZON-02
352.222.136.5United States
AS16509AMAZON-02
13.167.227.68United States
AS16509AMAZON-02
113.33.187.16New York, New York, United States
AS16509AMAZON-02
113.33.187.2New York, New York, United States
AS16509AMAZON-02
9465--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5A30A902364293D54234BF9B7E5BFF8A0AA43A1D649D058F2BD003653C5D8EDD3AEE4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rXZpo/IDzFHCq4ClFpC/QoCkHC2pUiYQSMWRAxYVoV3zSM:rpckzF3zF+VBpUiYQs9I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106638:VMj4ggIalFQoAADAYIIIBxIOFCWkRcgRGLQaTJMACKsgKAAJSgsSjghIUFwzW4IYaBTEMGMBmKjR4gQFBCypUCBA5KEEAwyi

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:ffe7ffff99998181
Perceptual Hash:bcc3362cc994c967
Difference Hash:320cb23333332727
Wavelet Hash:c3c3fb9b99998181
Color Hash:#c6d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data