Security Scan Report: gitcg-dplq0syte510.edgeone.dev

Submitted: Jun 22, 2026, 7:55:49 PMCompleted: Jun 22, 2026, 7:57:06 PMpubliccompleted
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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 gitcg-dplq0syte510.edgeone.dev and was registered NaN years ago.

Submitted URL: https://gitcg-dplq0syte510.edgeone.dev/500.html

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Page returns a 500 error, lacks forms or malicious indicators, but high JS obfuscation and unknown subdomain suggest moderate risk.

Risk Factors
High JavaScript obfuscation score
Subdomain on hosting platform with unknown age
Safety Factors
No forms or fields collecting credentials or payment data
No Indicators of Compromise or malware detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 4
Domain age information unavailable

Details

Page Title

500: Internal Server Error.

Scan Type

public

Language

🇩🇪

German

(36% confidence)

Category

news media journalism

(77%)

Domain Information

The domain 'gitcg-dplq0syte510.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'gitcg-dplq0syte510'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gitcg-dplq0syte510.edgeone.dev/500.html

Page Load Overview

1.29s
Total Load Time
10
HTTP Requests
1
Domains
129 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:36%
Script Type:Latin
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%
documentation technical
77%
technology software
77%
government public service
76%
cryptocurrency blockchain
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.174.247.29Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6C1037AE815EE0BEC3A7C5D003D9E3E24CD983B8174CA7897DDCE440A9157A1B95DC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TFjueOHnUWnqlI/060SKcX7ZozTk7cg1mWqp+0xmzqnDKCcHcXW:BjunnUWqlI/iggWqp+MmzN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5701:CKTQBAJeAiCBAAhpCQgAQMBywEAAEAAAEBTS0AYlAcJQAkEqAAsACIABRcAyugAU4QFAUKACSwBgIQkMvAVAwgFYi1IAEMCA

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:ffffffe7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:0000000808000000
Wavelet Hash:03033f27273f3333
Color Hash:#53ac71

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data