Security Scan Report: superkilometerfilter.com

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Submitted: Completed: publiccompleted
This website contacted 48 IPs in 3 countries across 35 domains to perform 264 HTTP transactions. The main domain is superkilometerfilter.com and was registered 9 years ago.

Submitted URL: https://superkilometerfilter.com/how-the-per-mile-tax-california-passed-affects-your-driving-costs-in-2026/?srsltid=AYCX9vJHOqxFApUIm5GBu8CEeYugiaXRdvHrlTU1NrFVkBQpUIF_mJRd

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Established self-branded blog/article site on a ~9.5-year-old domain; no credential or payment forms, no Indicators of Compromise or malware. Only minor concerns: right-click blocking and unranked domain.

Risk Factors (2)
JavaScript blocks right-click/context menu (single weak anti-analysis technique)
Domain is not ranked in Cisco Umbrella top 1M despite its age
Safety Factors (5)
Well-established domain registered 2017 with consistent self-branding
Article/news content type with author byline ('Maria Laskowski') and substantive editorial text
No credential-harvesting or payment forms; email fields are newsletter and product-request forms
No Indicators of Compromise, malware, hunting rule or IDS findings
Visible physical contact details and customer-service pages
Domain age information unavailable

Details

Page Title

Per Mile Tax California Passed Guide 2026 | SuperKilometerFilter

Scan Type

public

Domain Name Analysis

Domain 'superkilometerfilter.com' uses the commercial generic top-level domain (.com). The second-level label 'superkilometerfilter' is 20 characters long holding eight vowels versus 12 consonants. Breaking it apart gives 3 words: super, kilometer, filter. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

© | % +3613237723 Request a B28 Partnership! © wishlist © search English v & Login eee | = Chimes HOME SHOP v BLOG ABOUT US INSTALLATION SUPPORT v €0,00 OQ > How the Per Mile Tax California Passed...

Page Load Overview

6.61s
Total Load Time
3.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:16,078 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical48% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
48%
news/blog
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29172.67.69.76Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.26.5.19Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5192.178.183.97Google · CDNUnited States
AS15169Google LLC
5146.75.122.133Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
5142.250.154.95Google · CDNUnited States
AS15169Google LLC
5142.251.127.94Google · CDNUnited States
AS15169Google LLC
520.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
5150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
26448--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD647D337694013A725343D8E114F2187A5A702BEF14C5D8F1BE48E4AFC3EEA5C67A99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ZNqphFVI5JmPszezYp0Li1drFAFcadEPCjCRe2N:ZBHnPCC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326818:AKKApgoZNgLCC8OgVJMUvgYEpiQCQUASBJDGCREgYhAAaAqg0QYBMBi0cmAwtQJFhIBzAJoXoCRMAE2VskwGABOES7EgCNwJ

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:00ffcf8787c7fb3f
Perceptual Hash:b5524f78354cc339
Difference Hash:33391c3e1c0f5756
Wavelet Hash:00ffcf8686c3c333
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data