Security Scan Report: www.rushlane.com

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 6 domains to perform 38 HTTP transactions. The main domain is rushlane.com and was registered 17 years ago.

Submitted URL: https://www.rushlane.com

AI Security Verdict

Moderate Risk

Confidence: 80%

6
Risk Score

Site appears legitimate but the presence of a login form warrants moderate caution.

Risk Factors (1)
Credential collection form (email/password) without clear justification
Safety Factors (4)
Domain age of over 16 years (well‑established)
No malicious Indicators of Compromise detected
No payment fields or suspicious hosting (IPFS/cloud storage)
No noindex meta tags
Domain age information unavailable

Details

Page Title

RushLane - Latest Cars News, Bikes News, Electric Vehicles, Scoops

Scan Type

public

Domain Name Analysis

Domain 'www.rushlane.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'rushlane' is 8 characters long containing 3 vowels alongside five consonants. Breaking it apart gives 2 words: rush, lane. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

RUSHIGRE—— . ws (CAR NEWS; ‘BIKENEWS! (EVNEWS! {CV NEWS. SPYSHOTS: “VIDEOS’ / REVIEWS: Q Wtogsonies] Breakup Nov 2025 +5 ; Passion, Xtreme,

Page Load Overview

2.52s
Total Load Time
1.2 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:61,850 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content77% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
77%
social media network
74%
entertainment media
70%
corporate business
60%
news media journalism
53%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3865.20.83.112Mumbai, Maharashtra, India
AS20473AS-VULTR
381--

Detected Technologies4

JQueryv3.7.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E144D9652C743837A61B4398F0A8E6396FCA6247E7C94EC0F15CDED84FC5A92C793219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NQG2L+8mCcAXbwSPELkvAaEucuoB12W0dOVVNFsXPV:z8mCchSPaaIzM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:269547:q6ArIeCoojAohAqwkIMDROIYA6tdVWTCgT6mDIAAYDkOIwYEmkShRDE00IlIQBGASAlAAFTAsldhdgOAUUT1QQgwQAgHD8Cg

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:ffdfc3c3cfe7e7ff
Perceptual Hash:b44dd696996066cd
Difference Hash:2c3613131f0d0d18
Wavelet Hash:cf83818187c7c7c7
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data