Security Scan Report: www.autonocion.com

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Submitted: Completed: publiccompleted
This website contacted 46 IPs in 8 countries across 25 domains to perform 90 HTTP transactions. The main domain is autonocion.com and was registered 15 years ago.

Submitted URL: https://www.autonocion.com/us/jaguar-type-01-powertrain-interior/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Established 15-year-old automotive news site publishing an article about the Jaguar Type 01; only forms are a search box and Mailchimp newsletter signups. No phishing, malware or impersonation signs.

Safety Factors (5)
Well-established domain (5676 days old, minimal age risk)
News/blog content page with clear byline (Olivia Richman) and article markup
Newsletter forms submit to the reputable Mailchimp backend (list-manage.com) with matching autonocion sub-account
No credential-harvesting or payment collection present
Physical address visible as a business legitimacy signal
Domain age information unavailable

Details

Page Title

Jaguar is keeping the Type 01 powertrain a secret until October, but the interior is out, and a spine down the middle walls the four seats into separate pods like a doctor's waiting room

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.autonocion.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'autonocion' is 10 characters long holding six vowels versus four consonants. Segmentation suggests three words: auto, noc, ion. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.autonocion.com/us/jaguar-type-01-powertrain-interior/

Page Load Overview

2.02s
Total Load Time
2.3 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:23,891 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
healthcare medical
38%
corporate
35%
documentation technical
33%
social media network
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45172.66.43.145Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.157Google · CDNUnited States
AS15169Google LLC
1104.18.2.52Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13.174.46.32Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1192.178.183.154Google · CDNUnited States
AS15169Google LLC
146.8.152.14London, England, United Kingdom
AS213119ALZ Software Ltd
118.245.86.61Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
134.160.72.119Google · CDNKansas City, Missouri, United States
AS396982Google LLC
195.211.66.34Netherlands
AS60781LeaseWeb Netherlands B.V.
118.245.31.27Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9046--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10AB42BA3B2D5106871B385B9B2A7BBAC71359003C302C9B4F55D7274CFC66DA9EA274C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:S8q6hTPPr75Wx8guB0XcC/XYYxwDivwpkMF3uXOzAV98Yf3MgDjIN+FgulMqhe+0:SdgguB0XnvYhivwp3EOLK5FHAgCCoD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:511803:5AGwaWUEmAQhVABIEol2JAjUlKCMyNxwL2y0giwZqwlAxmBKRgBRXmkIBZBAtgIQhAUTwTAAndoxiIOqSDELS6gBoCQY9QwQ

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:0081c787878787c3
Perceptual Hash:be414b164936e9b6
Difference Hash:411d3727272f2d2b
Wavelet Hash:0087c7d78787c7c3
Color Hash:#53ac62

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data