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Security Scan Report: www.4cc.com.au

Submitted: Nov 19, 2025, 2:33:34 AMCompleted: Nov 19, 2025, 2:35:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is 4cc.com.au and was registered NaN years ago.

Submitted URL: https://www.4cc.com.au/trending/entertainment/first-look-margot-robbie-and-jacob-elordi-bring-a-dark-wuthering-heights-to-life/

AI Security Verdict

Low Risk

Confidence: 72%

2.5
Risk Score

New, unranked domain with no malicious indicators; low risk but monitor for changes.

Risk Factors
Newly registered domain (<90 days)
UNRANKED domain (not in top 1M Cisco Umbrella rankings)
Safety Factors
No malicious Indicators of Compromise detected
No login, password, or payment fields on the page
Content appears to be a standard entertainment news article
Domain age information unavailable

Details

Page Title

First Look: Margot Robbie and Jacob Elordi bring a dark 'Wuthering Heights' to life - 4CC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

You're looking at domain 'www.4cc.com.au' on the Australian country-code top-level domain (.com.au), featuring subdomain 'www'. Its registrable label '4cc' stretches across 3 characters holding 0 vowels versus two consonants, notching 1 digit. It segments into two words: 4, cc. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.4cc.com.au/trending/entertainment/first-look-margot-robbie-and-jacob-elordi-bring-a-dark-wuthering-heights-to-life/

Page Load Overview

30.10s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
61%
adult content
51%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.0.66.26San Francisco, California, United States
AS2635AUTOMATTIC
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EB33BB2C35D4979771783C9A224F758619EB43ACF06CDE3FEBE91488B84EE9402161D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QAEx2Ackprbn1gZBE/3o53m5in3rbjAGa:gPpXy4ka

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118053:XRCgTJVhFgBCUkGtAQICnABP5AwBgRoZT0WIPBILCssJgAgxokcRgqiIjJHZ8AkAQWOlAMKBJ7siCJkqyzwEBKSo2AIECHgB

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:ffffc3c3c3c3c3ff
Perceptual Hash:ec9f932c0c6c2c9b
Difference Hash:2308169696969600
Wavelet Hash:99c7c3c38383c3c7
Color Hash:#862d4f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data