Security Scan Report: thefilmexperience.net

Redirected to: http://thefilmexperience.net/blog/2025/10/4/nyff-63-rose-byrne-sinks-her-teeth-into-mary-bronsteins-if-i.html;jsessionid=058538880053275C84A78EED5FDF149E.v5-web014

Submitted: Oct 6, 2025, 6:16:17 PMCompleted: Oct 6, 2025, 6:17:19 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 9 domains to perform 89 HTTP transactions. The main domain is thefilmexperience.net and was registered NaN years ago.

Submitted URL: http://thefilmexperience.net/blog/2025/10/4/nyff-63-rose-byrne-sinks-her-teeth-into-mary-bronsteins-if-i.html

Effective URL: http://thefilmexperience.net/blog/2025/10/4/nyff-63-rose-byrne-sinks-her-teeth-into-mary-bronsteins-if-i.html;jsessionid=058538880053275C84A78EED5FDF149E.v5-web014Redirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no phishing or scam indicators.

Safety Factors
Long domain age and well‑established registration
Absence of malicious Indicators of Compromise
No credential or payment fields collected directly
Standard PayPal donation integration
Domain age information unavailable

Details

Page Title

NYFF 63: Rose Byrne sinks her teeth into Mary Bronstein's "If I Had Legs I'd Kick You"  - Blog - The Film Experience

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(76%)

Domain Information

The domain 'thefilmexperience.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. Its registrable label 'thefilmexperience' stretches across 17 characters containing seven vowels alongside 10 consonants. Segmentation suggests 3 words: the, film, experience. Expect four characters per word on average. The linguistic tilt is English for 'the'. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of http://thefilmexperience.net/blog/2025/10/4/nyff-63-rose-byrne-sinks-her-teeth-into-mary-bronsteins-if-i.html

Page Load Overview

12.58s
Total Load Time
89
HTTP Requests
9
Domains
585 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:19,402 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
76%
adult content
52%
gambling betting
34%
government public service
31%
news media journalism
26%

Detected Features

Search
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.18.34.93United States
AS13335CLOUDFLARENET
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5198.185.159.136United States
AS53831SQUARESPACE
5172.64.153.163United States
AS13335CLOUDFLARENET
5142.250.185.130United States
AS15169GOOGLE
518.244.18.122United States
AS16509AMAZON-02
5172.217.18.10United States
AS15169GOOGLE
5142.250.185.78United States
AS15169GOOGLE
518.244.18.27United States
AS16509AMAZON-02
5146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113FASTLY
8916--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10314792148FA3523535AC5F4BAE86A98BED1D28BE3066D1131AC61ED4FC7F509FD3068

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zzHtwkTB2/jUjUbxh2M8XWAk8P4WeAecOzlyKFeo1xatR:g1xatR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198366:EQEpAbBGhKqJAUjKmgPgCUBlIoRA6IAi1JLACkJkDYwAZFIBUeDSCERQhbEMA7qgLANUDkAAKGBCEgLYjAkXAQPQplEFwBOE

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:3c3c3c24243c3c3c
Perceptual Hash:c2999999669b99c9
Difference Hash:d969694d4d49694d
Wavelet Hash:3c3c3c64743c3c7c
Color Hash:#b5e06c

Scan History

Scan history not available

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