Security Scan Report: sirusxm.com

Redirected to:
https://ww547.siriuusxm.com/?tkn=19vnMT3S
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 4 countries across 3 domains to perform 8 HTTP transactions. The main domain is sirusxm.com and was registered 19 years ago.

Submitted URL: https://sirusxm.com/

Effective URL:
https://ww547.siriuusxm.com/?tkn=19vnMT3S
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Typosquatted 'SiriusXM' domains (sirusxm.com -> ww547.siriuusxm.com) with a cross-domain redirect chain and no real content. No forms or malware, but the deceptive hostnames and redirect infrastructure warrant avoiding the site.

Risk Factors (5)
Deceptive typosquatted hostnames mimicking the SiriusXM brand on two distinct domains
Cross-domain redirect from one typosquat domain to another typosquat subdomain with a tracking token
Empty 'Loading...' page with no legitimate content, identity or disclosure
Destination domain unranked / no reputation while imitating a major brand name
Traffic funneled through unrelated third-party redirect/search domains
Safety Factors (5)
No credential, login or payment form present (0 forms, 0 password fields, 0 payment fields)
No JavaScript malware (hunting rule) patterns and no third-party scripts
No threat-intelligence Indicators of Compromise matches
No network IDS/Suricata alerts and no cross-origin credential exfiltration
Established domain (3332 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

Loading...

Scan Type

public

Domain Name Analysis

The domain 'sirusxm.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'sirusxm' is 7 characters long split between 2 vowels and 5 consonants. Word splitting yields three words: sir, us, xm. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sirusxm.com/

Page Load Overview

15.05s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Text Length:10 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1212.7.194.71Netherlands
AS60781LeaseWeb Netherlands B.V.
1212.7.194.67Netherlands
AS60781LeaseWeb Netherlands B.V.
134.160.121.137Google · CDNKansas City, Missouri, United States
AS396982Google LLC
134.149.1.127Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
187.248.119.252United Kingdom
AS203220Yahoo-UK Limited
163.32.180.52Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
1212.82.100.137Dublin, Leinster, Ireland
AS34010Yahoo-UK Limited
88--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19DF09EEB1C97EB4CA35219409DE45D94C48856511848F07E80E05439A9B92BE8E06174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxvsCk9qJm7Ms/X4oJxZgiE1BCfykDoJxMBYI:kbV/s/Id/BCNDokOI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:599fe12a32f57792079e7616cb1e33e2

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#6a2d86

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data