ScanMalware.com

Security Scan Report: darkstar-cookies-to-json-wdgdspl3jg.edgeone.app

Submitted: Apr 2, 2026, 1:55:13 AMCompleted: Apr 2, 2026, 1:56:22 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is darkstar-cookies-to-json-wdgdspl3jg.edgeone.app and was registered NaN years ago.

Submitted URL: https://darkstar-cookies-to-json-wdgdspl3jg.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

The site shows no malicious activity but is a newly created subdomain on a free hosting platform, so treat it as moderately risky.

Risk Factors
New or unknown-age subdomain on a free hosting platform
Low reputation ranking (outside top 100k)
Domain may be used for cookie handling tools that could aid attackers
Safety Factors
No credential or payment collection forms
No malicious JavaScript or YARA detections
No network IDS alerts or credential exfiltration observed
External resources limited to reputable CDN (cdnjs.cloudflare.com)
Page content appears to be a simple utility without hidden scripts
Domain age information unavailable

Details

Page Title

Cookies to AppState

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

The domain name 'darkstar-cookies-to-json-wdgdspl3jg.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'darkstar-cookies-to-json-wdgdspl3jg'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://darkstar-cookies-to-json-wdgdspl3jg.edgeone.app/

Page Load Overview

0.46s
Total Load Time
5
HTTP Requests
2
Domains
291 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:157 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
cryptocurrency blockchain
42%
government public service
36%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
2104.17.24.14United States
AS13335Cloudflare, Inc.
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CC1959135B0652869A385E4188BC74B77989003B24EDE543AFC90ECAFD2FD9C97728D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TvFVuqCaC+GCiqC5ahyoq89dN7vWvN+nVt7s7m7qbgCVyMpcORd5UfWANV:TFaJmKC5H9VMbg6yOd8W+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5697:iCACAQqGFEgIiCAAADBAZAACJLhhBQIBIgBhATaIwABCAAysAqAKGAQMASUgoBGmxJwQBAQJDABACUDUDAgUAABBmQAyiMgA

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:ffffff0000000000
Perceptual Hash:b5b5f35b4a88a4a4
Difference Hash:1002863130000000
Wavelet Hash:ffffff0000ff0000
Color Hash:#d2c579

Other Hashes

Crop Resistant:1002863130000000

Scan History

Scan history not available

Unable to load historical scan data