Security Scan Report: www.sbs.com.au

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Submitted: Nov 6, 2025, 12:56:47 AMCompleted: Nov 6, 2025, 12:58:03 AMpubliccompleted
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Summary

This website contacted 39 IPs in 3 countries across 15 domains to perform 143 HTTP transactions. The main domain is sbs.com.au and was registered NaN years ago.

Submitted URL: https://www.sbs.com.au/news/article/typhoon-kalmaegi-philippines-death-toll/nw4syiuot

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Site likely impersonates SBS on a new, unranked domain; treat as phishing and do not trust.

Risk Factors
Brand impersonation: well‑known SBS brand shown on an unranked, recently registered domain
Domain age less than one year for a major brand
Lack of Cisco Umbrella ranking for a recognized media outlet
Domain age information unavailable

Details

Page Title

Typhoon Kalmaegi kills more than 90 in Philippines | SBS News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(49%)

Domain Information

You're looking at domain 'www.sbs.com.au' on the Australian country-code top-level domain (.com.au) and includes subdomain 'www'. The second-level label 'sbs' is 3 characters long with zero vowels and three consonants. Tokenizing the label suggests one word: sbs. Median word length is 3 characters. 'sbs' most strongly signals Sinhala. You will also see it in Vietnamese and Telugu contexts.

Screenshot

Security scan screenshot of https://www.sbs.com.au/news/article/typhoon-kalmaegi-philippines-death-toll/nw4syiuot

Page Load Overview

42.73s
Total Load Time
143
HTTP Requests
15
Domains
2.1 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:7,068 chars
Detector Agreement:100%

Website Classification

Primary Category

other49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
49%
news/blog
35%
malicious
33%
news
15%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.250.185.194United States
AS15169GOOGLE
3142.250.185.66United States
AS15169GOOGLE
354.192.35.40United States
AS16509AMAZON-02
323.50.131.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.50.131.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
352.19.69.230Dublin, Leinster, Ireland
AS16509AMAZON-02
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3216.58.206.33United States
AS15169GOOGLE
3162.247.243.29United States
AS54113FASTLY
323.35.228.216Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
14339--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AB44AEEB040C945B89BEE4F217B7E39504FC07742A9DAFCD24DCE1986C24BD1766A84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:FGxmZW6gbasEg+VJXpxqBo5oZtONtR3TcHUfpquOkJ1AG:FGxmZW6Vd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:534401:MPGwTyIQDYGgQwkDkpRYpQBEsw2KLSwMRAwmEBloWNpk5CpkotgAoCcEwDpgPBgogAQkgEgIwmiCYNsBIliIAYcSRiAhsUwh

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:01ffffffefc1c1c1
Perceptual Hash:eb9c6b6a146a6a1c
Difference Hash:8f88215b1b8b0b1f
Wavelet Hash:00ffffe1c1c1c1c1
Color Hash:#783a6f

Scan History

Scan history not available

Unable to load historical scan data