Security Scan Report: codera-v3nd1fluyo.edgeone.app

Submitted: Mar 26, 2026, 8:08:41 PMCompleted: Mar 26, 2026, 8:10:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is codera-v3nd1fluyo.edgeone.app and was registered NaN years ago.

Submitted URL: https://codera-v3nd1fluyo.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
No forms detected
No malicious Indicators of Compromise
Hosted on a standard subdomain of edgeone.app (reputable hosting platform)
Cross‑origin request to a legitimate external domain
Domain age information unavailable

Details

Page Title

AI Code Studio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Within the application-focused generic top-level domain (.app), 'codera-v3nd1fluyo.edgeone.app' is registered, featuring subdomain 'codera-v3nd1fluyo'. Count 7 characters in 'edgeone' with four vowels and three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://codera-v3nd1fluyo.edgeone.app/

Page Load Overview

0.36s
Total Load Time
3
HTTP Requests
1
Domains
6 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:84 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10843CFB5B56B6939619390F43F73A2099170900B6305CAAEBF8D13DC4FCA7D589633B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vm49cSN5ej6zjgkhe5q/VpnE8jd25e+jyrd/wuj3:+4dzzjgkWeZEid2c+urd/wuj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58951:AdNCBgAAdIYICDmIFDFgIILDWQAKEchEwCApIBQEoMQZmIYAUBAmKIDSJJ2LDhgBAaifDzQJEAACz0AAAKhEEwZwBi1iwGQM

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:ffffffffe7e7ffff
Perceptual Hash:b3cccc338ccc3399
Difference Hash:00000000080c0000
Wavelet Hash:000000003f273f3f
Color Hash:#5371ac

Other Hashes

Crop Resistant:00000000080c0000

Scan History

Scan history not available

Unable to load historical scan data