Security Scan Report: personalizer.io

Redirected to:
https://limespot.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 46 IPs in 2 countries across 36 domains to perform 128 HTTP transactions. The main domain is personalizer.io and was registered 11 years ago.

Submitted URL: https://personalizer.io

Effective URL:
https://limespot.com/
Redirected

The Cisco Umbrella rank of the primary domain is #73,581 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Redirect from personalizer.io lands on LimeSpot's own marketing site. Self-branded, no forms, no threat-intel, hunting rule or IDS hits — ordinary legitimate SaaS page.

Safety Factors (4)
Page is the vendor's own site (self-branding matching the final domain), not impersonation of a different entity
No data-collection forms of any kind
No Indicators of Compromise, hunting rule, IDS or Safe Browsing evidence
Content is a coherent B2B e-commerce personalization product description with company copyright notice
Domain age information unavailable

Details

Page Title

Home Page

Scan Type

public

Domain Name Analysis

The domain name 'personalizer.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The second-level label 'personalizer' is 12 characters long containing 5 vowels alongside seven consonants. Splitting it apart reveals two words: personalize, r. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

($ LimeSpot Deliver real-time personalization at scale across web, mobile, and email LimeSpot is an eCommerce conversion data network that increases conversions for online merchants. Our service is...

Page Load Overview

2.33s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:833 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping98% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
98%
technology software
60%
education learning
42%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38104.26.11.118Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.10.118Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
2146.75.121.140Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
223.194.190.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12846--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B22C8CF3F18A6A5A18653E6BE2232DC651F54FF9A844FE4C5198F18A0C207CDD16C9A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:F1CShJayq2qVJt/1dIRcFUH26Z+7ncjvgSJXLzOEXvF1Si/:PCx2qbTdIC+x4SJXJnSG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10270:FUgACSFwA2sIhH0BLhEWJSFEZIZCdCFqjseoCEWEEBDhYZIoSshokExLzMLdEFJBqbhAdKiCLwqwIApCIApQUIi9AtgiLBoC

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:00ffffff00000000
Perceptual Hash:bcbc43431e1e6363
Difference Hash:100f2e2028000000
Wavelet Hash:00ffffffff000000
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data