Security Scan Report: api.webcake.io

Submitted: Mar 14, 2026, 10:32:13 AMCompleted: Mar 14, 2026, 10:34:00 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is api.webcake.io and was registered NaN years ago.

Submitted URL: https://api.webcake.io

The Cisco Umbrella rank of the primary domain is #284,558 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 500 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇩🇰

Danish

(50% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'api.webcake.io' on the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'api'. Count 7 characters in 'webcake' containing 3 vowels alongside 4 consonants. It segments into 2 words: web, cake. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.webcake.io

Page Load Overview

1.20s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:50%
Script Type:Latin
Text Length:45 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2113.20.119.13Vietnam
AS45903CMC Telecom Infrastructure Company
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5D02373C550056F113559DCCD41554C4FC5720ED4314C41B1C0E45585C750ED813344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLy/ehAvZXwLnDWPKVmS8K4FLfRRyIdlEe:qzxV/5VHHQYk/B96zWhupUDWZNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:99cab93e484693010c128e9c77f400a9

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:00ffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:00fff0f0f0f0f0f0
Color Hash:#d2802d

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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