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Security Scan Report: q-r.to

Redirected to: https://smtpmytelstrawebmailswiftwebmailtelstraviewswifts.framer.website/

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Submitted: Oct 13, 2025, 3:39:18 AMCompleted: Oct 13, 2025, 3:39:59 AMpubliccompleted
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Summary

This website contacted 58 IPs in 1 country across 7 domains to perform 26 HTTP transactions. The main domain is smtpmytelstrawebmailswiftwebmailtelstraviewswifts.framer.website.

Submitted URL: https://q-r.to/bgNNMe

Effective URL: https://smtpmytelstrawebmailswiftwebmailtelstraviewswifts.framer.website/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed phishing site impersonating Telstra; do not enter credentials.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Login form collecting Telstra credentials
Mismatched final URL (smtpmytelstrawebmailswiftwebmailtelstraviewswifts.framer.website) not owned by Telstra
Multiple redirects to obscure domain
Domain age information unavailable

Details

Page Title

q-r.to

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(65%)

Domain Information

You're looking at domain 'q-r.to' on the .to country-code top-level domain and has no subdomain. The registrable portion 'q-r' spans 3 characters with zero vowels and 2 consonants, notching 1 hyphen. Splitting it apart reveals 2 words: q, r. Average segment length settles at one character. The linguistic tilt is Chinese (Zhuyin) for 'q'. You may catch it in Sinhala and Chinese (Simplified) as well.

Screenshot

Security scan screenshot of https://q-r.to/bgNNMe

Page Load Overview

23.62s
Total Load Time
26
HTTP Requests
7
Domains
104 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:299 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2652.223.52.2United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
03.174.46.52United States
AS16509AMAZON-02
013.226.244.45United States
AS16509AMAZON-02
018.173.205.84United States
AS16509AMAZON-02
013.226.244.13United States
AS16509AMAZON-02
018.173.205.73United States
AS16509AMAZON-02
03.174.46.104United States
AS16509AMAZON-02
013.33.187.122New York, New York, United States
AS16509AMAZON-02
03.174.46.42United States
AS16509AMAZON-02
2658--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D932093615DF064ACD7687EEB5DE52C5C252140FF32C3CBA2AE821F45C9AF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8zVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCw7PGbZxaf6+/BG8Lz:WlDaf6+5G8X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96111:Ih0UQCUBEgAivUZQEJUBYQAASoggMKBkFMEroBKEIXIDBBQErqGgCBMACi9SE8VmCFCqCBBIiEa6CJBOEjAAQHLHqCAqCogA

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:ffe7efffe7e7dbff
Perceptual Hash:b3998c66cccc668d
Difference Hash:e04848184c4d320c
Wavelet Hash:7f07cbcbc8c000ef
Color Hash:#d2a679

Other Hashes

Crop Resistant:e04848184c4d320c

Scan History

Scan history not available

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