Security Scan Report: picapi-x9stvcl4qn.edgeone.app

Submitted: Feb 26, 2026, 10:50:17 PMCompleted: Feb 26, 2026, 10:51:26 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is picapi-x9stvcl4qn.edgeone.app and was registered NaN years ago.

Submitted URL: https://picapi-x9stvcl4qn.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: 72%

4
Risk Score

The site mentions Pixiv but is hosted on an unknown subdomain; no malicious activity found, but brand mismatch warrants moderate caution.

Risk Factors
Brand mismatch on a free‑hosting subdomain
Unknown subdomain age (potentially newly created)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No redirects to suspicious destinations
Domain age information unavailable

Details

Page Title

Pixiv 随机图片 API

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(31%)

Domain Information

You're looking at domain 'picapi-x9stvcl4qn.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'picapi-x9stvcl4qn'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Tokenizing the label suggests 2 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://picapi-x9stvcl4qn.edgeone.app/

Page Load Overview

1.62s
Total Load Time
8
HTTP Requests
1
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:540 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning31% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
81--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B82655110F310327C53F2A67BE757273A60E907E90BCA697B9C63988F85DA18A9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oP+I9+qkTTdNlFHPQFExYpQn3rhkyJq1rwpTIkePBNSo3A1Ws7tG772cdRKfq/c3:ox4FHbnGriGSo3A1Ws7qVRTc+q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18860:iAjYIQEgliNgJZKAAggoBXH7oJCYURxgRwhJkBiC40AE1EUJARCWayOBIQLSB4ghEAsE0JuHYwARgFPiZQxHwC5kBhWZUAqg

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:00000000ffffff8f
Perceptual Hash:be403fc13f48a39c
Difference Hash:138125a90f883f3f
Wavelet Hash:88000000ffffff9f
Color Hash:#c5879e

Scan History

Scan history not available

Unable to load historical scan data