Security Scan Report: spotlercrm.se

Redirected to:
https://spotler.com/?ki-cf-botcl=1
Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Sep 28, 2026, 12:40:22 PMCompleted: Sep 28, 2026, 12:40:56 PMpubliccompleted

This website contacted 32 IPs in 4 countries across 3 domains to perform 13 HTTP transactions. The main domain is spotler.com and was registered 17 years ago.

Submitted URL: https://spotlercrm.se

Effective URL:

https://spotler.com/?ki-cf-botcl=1
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Spotler's own regional domain redirects to its legitimate spotler.com Marketing Cloud site. No credential/payment forms, no impersonation, no threat-intel or malware signals. Benign.

Safety Factors (4)
Real corporate SaaS marketing content with products, pricing, careers, partner and privacy pages
Standard third-party tooling (Cookiebot consent, HubSpot, Facebook, Leadinfo) consistent with a normal B2B marketing site
No credential or payment collection anywhere on the page
All forms are ordinary newsletter/email signups, not authentication
Domain age information unavailable

Details

Page Title

Spotler Marketing Cloud: unlock your data and drive resultssecondary capture

Scan Type

public

Domain Name Analysis

You're looking at domain 'spotlercrm.se' on the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'spotlercrm' spans 10 characters containing 2 vowels alongside eight consonants. Segmentation suggests four words: spot, ler, cr, m. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://spotlercrm.se

Page Load Overview

0.84s
Total Load Time
970 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:50,866 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13162.159.135.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.188.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
052.222.236.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0142.251.110.97Google · CDNUnited States
AS15169Google LLC
0104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
0172.66.157.37Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
018.66.122.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1332--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104C4A63170E1213F0767C2E01296EB1B6AD250D7D9454184B9DD87B82FEAE07ECBB276

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qCyVA3bVqRndl57F6dWwinuwINKWwIYRwExMWwUJKwIh4p7m6xG6YKcwCUQpwi+N:FLkRndl5xRrTpKX5bIj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:576987:QFlDiogAQBIKNRkhoKCCkpFXABAQdNOASEAVBecGJhACA2B6QQEgCgOkQdkIFUAgRI0MBy0YGIGyojQRAYAkEEoiAUhERTQj

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:003dfbd3f1fbfcfd
Perceptual Hash:ed35124b3268adda
Difference Hash:1151163323523139
Wavelet Hash:001dd38191f9fccf
Color Hash:#c5ac87

Scan History

Scan history not available

Unable to load historical scan data