Security Scan Report: api.glitch.fun

Submitted: Apr 28, 2026, 12:53:24 AMCompleted: Apr 28, 2026, 12:55:26 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.glitch.fun and was registered NaN years ago.

Submitted URL: https://api.glitch.fun/unsubscribe/campaign/ab128920-cb70-406d-9fca-afbf0937744d?token=iWzpoAfzfI6kco2jjp5pGZJMkwG4BQ6l

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page appears legitimate with no malicious activity detected.

Safety Factors
Established domain age
No malicious indicators
No credential collection
Domain age information unavailable

Details

Page Title

Unsubscribe Successful

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

news media journalism

(56%)

Domain Information

The domain name 'api.glitch.fun' uses the .fun top-level domain; it also runs on subdomain 'api'. Its registrable label 'glitch' stretches across 6 characters containing one vowel alongside five consonants. Splitting it apart reveals one word: glitch. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.glitch.fun/unsubscribe/campaign/ab128920-cb70-406d-9fca-afbf0937744d?token=iWzpoAfzfI6kco2jjp5pGZJMkwG4BQ6l

Page Load Overview

2.35s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:78 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism56% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
56%
government public service
52%
healthcare medical
52%
adult content
49%
education learning
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.39.62.102Washington, Virginia, United States
AS8075Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CC08CAF487223C0502220606CC33E8038C616EB90C25020A8CBE0AACBCC70FFCCB0E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouV7uJLzLcvPrBMy5aqRnAEtvxL//4nQZAXK8qzVDZMBNyjErLZTb86c4NGL:hxuJLzLcbBMOahEdxsnQyK8EWNZrLZsj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:37bd64fb9d68427216f26b2283f18d19

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:0fffffffffffffff
Perceptual Hash:9c1d1d1d1d1d1d1d
Difference Hash:3000000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#86442d

Other Hashes

Crop Resistant:3000000000000000

Scan History

Scan history not available

Unable to load historical scan data