Security Scan Report: datacake.co

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Submitted: Jan 2, 2026, 4:00:49 AMCompleted: Jan 2, 2026, 4:02:08 AMpubliccompleted
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Summary

This website contacted 19 IPs in 3 countries across 17 domains to perform 87 HTTP transactions. The main domain is datacake.co and was registered NaN years ago.

Submitted URL: https://datacake.co

The Cisco Umbrella rank of the primary domain is #924,280 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>6 years)
No malicious Indicators of Compromise
Only a simple email/username form present
No noindex meta tags or hidden password fields
No external links or suspicious resources
Domain age information unavailable

Details

Page Title

Datacake | Low Code IoT Platform | White Label | LoRaWAN

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

Within the Colombian country-code top-level domain (.co), 'datacake.co' is registered without a subdomain. Count 8 characters in 'datacake' containing four vowels alongside 4 consonants. Segmentation suggests two words: data, cake. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://datacake.co

Page Load Overview

2.63s
Total Load Time
31
HTTP Requests
7
Domains
459 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,879 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
91%
documentation technical
87%
healthcare medical
74%
government public service
40%
adult content
26%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1335.244.130.212Belgium
1216.239.32.36United States
123.212.215.73Germany
174.125.133.154Unknown
123.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1216.58.206.40United States
AS15169GOOGLE
166.33.60.34United States
AS16509AMAZON-02
1130.211.24.164United States
AS396982GOOGLE-CLOUD-PLATFORM
134.111.239.74UnknownUnknown
1142.251.141.100UnknownUnknown
3119--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189E4F851FAE03A3E202B19EDD09A7774F37A9202C7071DE4E1F812A44BD69E176B784D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:R5LrF8nELBGPjMe1NQZeAcR1Pmf2GxkHC5CCWeQ9FgDNO4kH9c/2D827ORl0CGHW:R5LrFBLqv0awWzWRH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:662831:hAkABOuSBaBBKAHMAOSAIVtOFcMISAoAEGicQQAAzAFBTDIaqmQNAEBGAsEIGgCQgKSolAXIsIoyARj8JQrAAmhCmEEAEkOm

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data