Security Scan Report: picapi-aikjdvaqzi.edgeone.app

Submitted: Feb 27, 2026, 8:58:35 PMCompleted: Feb 27, 2026, 8:59:44 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-aikjdvaqzi.edgeone.app and was registered NaN years ago.

Submitted URL: https://picapi-aikjdvaqzi.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Hosted on a standard hosting platform (edgeone.app)
Domain age unknown but no suspicious activity observed
No JavaScript malware patterns detected
No credential exfiltration or cross‑origin data leaks
Domain age information unavailable

Details

Page Title

Pixiv 随机图片 API

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(30%)

Domain Information

Domain 'picapi-aikjdvaqzi.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'picapi-aikjdvaqzi'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://picapi-aikjdvaqzi.edgeone.app/

Page Load Overview

1.72s
Total Load Time
8
HTTP Requests
1
Domains
1.5 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 learning30% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
30%

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

T1B282655110F310367C53F2A67BE757273A60E907E90BCA697BDC63988F85DA18A9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oP+I9+qkTTdNlFHPQFExYpQn3rhkyJq1rwpTI9peBNS93z1Ws7tG772cdRKfq/c3:ox4FHbnGrnQS93z1Ws7qVRTc+q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18859:CIwELEgEkuG4DCERhCghQfG8UJAJMCbTwhgRAhJCgyDExED6g0CTKTIgIULSW2qC2zBUQRoDYBAYAVjKLiTjNZnILgl0Aprh

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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