Security Scan Report: lovecleanstreets.com

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Submitted: Sep 3, 2026, 11:09:44 AMCompleted: Sep 3, 2026, 11:10:04 AMpubliccompleted

This website contacted 7 IPs in 4 countries across 5 domains to perform 20 HTTP transactions. The main domain is lovecleanstreets.com and was registered 10 years ago.

Submitted URL: https://lovecleanstreets.com

The Cisco Umbrella rank of the primary domain is #931,785 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows its own brand, has no forms or malicious indicators, and is hosted on a long‑standing domain – classified as legitimate.

Safety Factors (4)
Established domain age
Self‑branding confirmed
No forms or credential collection
No malicious IoC or malware detections
Domain age information unavailable

Details

Page Title

Home page - Lovecleanstreets

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'lovecleanstreets.com' is registered with no subdomain. The registrable portion 'lovecleanstreets' spans 16 characters containing six vowels alongside 10 consonants. Splitting it apart reveals 3 words: love, clean, streets. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lovecleanstreets.com

Page Load Overview

1.70s
Total Load Time
375 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,516 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical69% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
69%
government public service
33%
technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
820.209.193.139Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
2104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.138Google · CDNUnited States
AS15169Google LLC
217.253.57.206Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
251.140.85.106Azure · CLOUDLondon, England, United Kingdom
AS8075Microsoft Corporation
2142.251.110.113Google · CDNUnited States
AS15169Google LLC
217.253.57.208Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB12733B94F4303B0282A1DA7B6A1758FEC3914BC706A50272BE07CD5FD6D468C63A6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TlrW/oeZycO2cnebMtFj8OxZB6rOmbxoHjq0v9KzkkNi7c/5DD/JxxJpEyu:oLU8CV80ZDmbODtv9tkNIchvTxJmyu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9801:QQeKTBRNLIAkF4gmUBhDCiwQw8ykSCTgAACIbCAPRvQBghgJAxAChmJQQCKMCABmhQURFC5kx4sPlJkqkF2ESwoAAaAgBBRI

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:00ffffffff9fbf00
Perceptual Hash:be600f1c634f3897
Difference Hash:0524262738386069
Wavelet Hash:009393b39f9fbf00
Color Hash:#a9c587

Scan History

Scan history not available

Unable to load historical scan data