Security Scan Report: www.bikewale.com

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Submitted: Completed: publiccompleted
This website contacted 61 IPs in 6 countries across 40 domains to perform 214 HTTP transactions. The main domain is bikewale.com and was registered 20 years ago.

Submitted URL: https://www.bikewale.com/harleydavidson-bikes/sprint-440/

The Cisco Umbrella rank of the primary domain is #355,472 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Established 20-year-old Indian automotive portal (BikeWale) publishing a model-info page about the Harley-Davidson Sprint 440; no forms collecting credentials/payment, no threat intel, no impersonation.

Safety Factors (6)
Established domain with 7,570-day registration history
Self-branding: title/meta/og site name match the domain
Visible business address and business entity indicators
No credential, payment, or password fields in captured forms
No Indicators of Compromise, hunting-rule hits, or content-malware threat intel
IDS alerts are INFO-level behavior heuristics explicitly flagged as informational
Domain age information unavailable

Details

Page Title

Harley-Davidson Sprint 440, Expected Price Rs. 2,90,000, Launch Date & More Updates - BikeWale

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'www.bikewale.com' is registered and includes subdomain 'www'. The registrable portion 'bikewale' spans 8 characters holding 4 vowels versus four consonants. Tokenizing the label suggests 2 words: bike, wale. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bikewale.com/harleydavidson-bikes/sprint-440/

Page Load Overview

3.47s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:74,136 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network68% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
68%
news media journalism
46%
entertainment media
40%
adult content
37%
corporate
35%

Detected Features

Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3413.32.121.121Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
33.171.214.105Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
399.84.152.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.226.244.29Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.127.154Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
313.126.113.202Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
21461--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115250931B480193F973B05C8F64AE70972D6A30FE1D50460F5EE47688BE5EBC692E297

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZLZmX5ztGJZOiDVyjwpWx1efUd+JcgetCieT7Kx/7JNIYHrtgqEtbSEsq4Ocwsl5:ZLZwGWiDYXxyUd3EXSj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:982708:DBUyIKAEgCMhgc2iOJOwBUBFMIgAEDAT85YCkA0MRJCZeYyqoeASEyWQpAgTSAowBAyZGWTCSBxiQCiAAcBHxiMTQWEiYQGA

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:7fcfffc6ceff4b0b
Perceptual Hash:b1d68ec33107ce1b
Difference Hash:86162496980696d2
Wavelet Hash:40c3dfc6cefb0303
Color Hash:#e0836c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data