Security Scan Report: streetsoftoronto.com

Submitted: Oct 28, 2025, 10:00:37 AMCompleted: Oct 28, 2025, 10:02:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is streetsoftoronto.com and was registered NaN years ago.

Submitted URL: https://streetsoftoronto.com/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing domain registration
No forms collecting sensitive data
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.

Page Title

Home - Streets Of Toronto

Scan Type

public

Language

🇩🇰

Danish

(72% confidence)

Category

unknown

(0%)

Domain Information

The domain 'streetsoftoronto.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'streetsoftoronto' stretches across 16 characters with 6 vowels and 10 consonants. Tokenizing the label suggests 3 words: streets, of, toronto. Median word length is seven characters. 'streets' is most common in Chinese (Pinyin) usage. You may catch it in English and Dutch as well.

Screenshot

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

Page Load Overview

13.69s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:72%
Script Type:Latin
Text Length:33 chars
Detector Agreement:100%

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
2159.203.149.151Clifton, New Jersey, United States
AS14061DIGITALOCEAN-ASN
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187C08C46F46E680DEF0313B40BC77B40D694C236CC8A49005B824683B0C312BC4C2368

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxgROngsoMHXbvx9FKEIHiHbBaWsMgs0U9ClITULLP61INqz:qzxUigsoCXLxWHiHkWDgs01lIgLP8INa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:3d87ef5e2e4107f110aee2860e651b35

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:00ffffffffffffff
Perceptual Hash:e666666666666626
Difference Hash:0c00000000000000
Wavelet Hash:007fcfcf00000000
Color Hash:#bf6c40

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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