Security Scan Report: www.beentothemovies.com

Submitted: Apr 1, 2026, 9:09:14 AMCompleted: Apr 1, 2026, 9:10:52 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 10 domains to perform 30 HTTP transactions. The main domain is beentothemovies.com and was registered NaN years ago.

Submitted URL: https://www.beentothemovies.com/2026/02/review-crime-101-2026-film-starring.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate movie review site with no security concerns.

Safety Factors
Well‑established domain (registered 2007)
No credential or payment collection forms
No malicious Indicators of Compromise
Standard third‑party resources (Google fonts, YouTube, DoubleClick) are benign
Content appears to be a legitimate movie review article
Domain age information unavailable

Details

Page Title

Been To The Movies: REVIEW: Crime 101 (2026 Film) - Starring Chris Hemsworth, Mark Ruffalo, Barry Keoghan, and Halle Berry

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

Domain 'www.beentothemovies.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 15 characters in 'beentothemovies' containing 7 vowels alongside eight consonants. Segmentation suggests 4 words: been, to, the, movies. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.beentothemovies.com/2026/02/review-crime-101-2026-film-starring.html

Page Load Overview

6.85s
Total Load Time
83
HTTP Requests
20
Domains
3.2 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-GB
Text Length:66,689 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
49%
forum
25%

Detected Features

Search
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.251.110.97Germany
9142.251.13.121Germany
9142.251.13.100United States
AS15169Google LLC
923.50.131.205GermanyUnknown
9142.251.141.142GermanyUnknown
9142.251.110.191United States
AS15169Google LLC
9142.251.143.105GermanyUnknown
9192.178.183.132GermanyUnknown
9172.217.16.194GermanyUnknown
839--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169731A63BC10582601D7C49DFBB1BB5FF6479304C54329E4F4EAA6AC27CADC2985A3D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NEjA7XR3gvbpHvvCLhcyS+uZwlYvXNpczfAIXl8Hj0XCT2wLsL3vahDv62kdeMf:NEjA2lHvY+P+uZw6wBlmj0XM2WEfuDvs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79828:lcGER6UtAE8Ah4BKAUoAiooGQUMM2IIGjUIYhlniYMWEEWSQGpQkoALAGIPwigoKApYAe4nGCiurAYkIUATdABoBWQKcIFQF

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:0087cfffffcfcfcf
Perceptual Hash:b14e33534e4b494f
Difference Hash:2d2c3f231e9a9a9a
Wavelet Hash:008781cf87cfcbcb
Color Hash:#931f78

Scan History

Scan history not available

Unable to load historical scan data