Security Scan Report: api.gostellar.app

Submitted: Jun 9, 2026, 3:55:28 AMCompleted: Jun 9, 2026, 3:57:24 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.gostellar.app and was registered NaN years ago.

Submitted URL: https://api.gostellar.app

The Cisco Umbrella rank of the primary domain is #404,438 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators, has an established age, and contains no forms or brand claims, indicating a legitimate service.

Safety Factors
Established domain age
Absence of forms or credential collection
No malicious signatures or network alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'api.gostellar.app' is registered with subdomain 'api'. Its registrable label 'gostellar' stretches across 9 characters with 3 vowels and six consonants. Segmentation suggests two words: go, stellar. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.gostellar.app

Page Load Overview

0.61s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:9 chars
Detector Agreement:0%

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
218.223.230.117Columbus, Ohio, United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6f4nL:qzxO96wL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a9f7949388547269ddeae7ebbe534500

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:7fffffffffffffff
Perceptual Hash:830307070f0f1fff
Difference Hash:8000000000000000
Wavelet Hash:40c0c0c000000000
Color Hash:#d2982d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data