Security Scan Report: viff.org

Submitted: Oct 21, 2025, 8:51:59 PMCompleted: Oct 21, 2025, 8:53:29 PMpubliccompleted
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Summary

This website contacted 110 IPs in 7 countries across 31 domains to perform 105 HTTP transactions. The main domain is viff.org and was registered NaN years ago.

Submitted URL: https://viff.org/whats-on/viff25-wake-up-dead-man-knives-out-mystery/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established domain age (over 30 years)
No forms collecting sensitive data
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Wake Up Dead Man: A Knives Out Mystery | VIFF 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(76%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'viff.org' is registered without a subdomain. The core label 'viff' covers 4 characters split between 1 vowel and 3 consonants. Tokenizing the label suggests 2 words: vi, ff. Median word length comes out to two characters. 'vi' is most common in Esperanto usage. Usage also turns up in Norwegian and Swedish contexts.

Screenshot

Security scan screenshot of https://viff.org/whats-on/viff25-wake-up-dead-man-knives-out-mystery/

Page Load Overview

34.33s
Total Load Time
105
HTTP Requests
31
Domains
2.4 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-US
Text Length:5,857 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media76% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
76%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
105216.239.32.36United States
AS15169GOOGLE
099.84.152.117United States
AS16509AMAZON-02
018.66.102.106United States
AS16509AMAZON-02
0104.17.24.14United States
AS13335CLOUDFLARENET
0142.251.168.157United States
AS15169GOOGLE
052.31.117.45Dublin, Leinster, Ireland
AS16509AMAZON-02
0172.67.181.140United States
AS13335CLOUDFLARENET
0151.101.244.157Helsinki, Uusimaa, Finland
AS54113FASTLY
0146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
099.84.152.57United States
AS16509AMAZON-02
105110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EB3D6F210E41033824BD2D96111B76ABAE29607DB4A9D10B3FC9BD8EFD3ED149A710D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:AoBMYapOkM7C3uVjexHtz8lEHIrbC7R40gMbHgB6TWkwQ+HurOUtCi+fZw:askMOSDVrbCN40gaHgB6Tfh+Orj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111176:AgY11tTAAIxphQAbCkhUIJ1JBDmBEUTo4SABAGWyIhDEExi2TARgFAZBIQCgfKKIkgiCKByFiQwIWiyplQDY0wqCZgDAoAA6

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:180f0f9d07257f60
Perceptual Hash:921d49cc6ccc7ad9
Difference Hash:f2da383dade9ebc9
Wavelet Hash:180f0f974f257f41
Color Hash:#403a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data