Security Scan Report: kgraph-8cmeiyac2x.edgeone.app

Submitted: Jan 8, 2026, 5:01:25 AMCompleted: Jan 8, 2026, 5:02:51 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is kgraph-8cmeiyac2x.edgeone.app and was registered NaN years ago.

Submitted URL: https://kgraph-8cmeiyac2x.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 security concerns detected; site appears legitimate.

Safety Factors
Domain age of 974 days (well established)
No forms or credential collection fields detected
No malicious Indicators of Compromise matches found
Standard hosting without IPFS or cloud storage
No redirects or external domains
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), 'kgraph-8cmeiyac2x.edgeone.app' is registered with subdomain 'kgraph-8cmeiyac2x'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Splitting it apart reveals 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://kgraph-8cmeiyac2x.edgeone.app/

Page Load Overview

7.73s
Total Load Time
7
HTTP Requests
3
Domains
180 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
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
3104.16.175.226United States
AS13335CLOUDFLARENET
2104.17.24.14United States
AS13335CLOUDFLARENET
243.152.26.58Singapore
73--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11512716A2AA2502792D290CC4FD50F573700512BC344F89EB1EF6E06AFCD865EDAE5F4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:lcgbcHNSMdy6rsP3Y+kkYT8TbvwgGnFa7vkvqkHlCiO5KmZaK3n4yCf3WhMfn3s:l5+0Y7Io+kUbYgG47va5T1y9gn3s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9879:iAAEBBERQAUGoIAGkgDZGLiYAbQEFUEvw4QZ0UA0okqKUIB/KLVwMAGHOATD1NwoIgMCk4VoThgQCAkiIgEKjEABTDAB2jBA

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:fefefefefefefefe
Perceptual Hash:d5552a552a552a5f
Difference Hash:0000000000000000
Wavelet Hash:007e727272727272
Color Hash:#ac8553

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data