Security Scan Report: picapi-83e5o0m3ik.edgeone.app

Submitted: Jan 20, 2026, 2:15:40 AMCompleted: Jan 20, 2026, 2:16:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is picapi-83e5o0m3ik.edgeone.app and was registered NaN years ago.

Submitted URL: https://picapi-83e5o0m3ik.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: 85%

2
Risk Score

Site appears to be a legitimate third‑party API, but brand name usage is unofficial.

Risk Factors
Use of the Pixiv brand name on a non‑official domain (potential brand impersonation)
Safety Factors
Domain is well established and categorized as minimal risk
No credential‑harvesting or payment collection forms present
No known malicious Indicators of Compromise associated with the domain
Domain age information unavailable

Details

Page Title

Pixiv 随机图片 API

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(40%)

Domain Information

The domain name 'picapi-83e5o0m3ik.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'picapi-83e5o0m3ik'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://picapi-83e5o0m3ik.edgeone.app/

Page Load Overview

1.56s
Total Load Time
8
HTTP Requests
1
Domains
2.6 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:539 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning40% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
40%

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

T1E582655110F310327C53F2A67BE757273A60E907E90BCA697BDC67988F85DA18A9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oP+I9+qkTTdNlFHPQFExYpQn3rhkyJq1rwp0IINBNSo3Y1Ws7tG772cdRKfq/c+q:ox4FHbnGrrVSo3Y1Ws7qVRTc+q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18859:nsicLQhFgNTYALCQlBgJDRg8QZwBAQPOxFBZwBBCgXBUxEhaDwAFYCFgIkKCec6jCCAe5IgiIDyRMVteigCpsYDgtvk0Ehoh

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:00000000ffffffc7
Perceptual Hash:ae043ec66a2aa7b5
Difference Hash:edaabef52d802f3f
Wavelet Hash:00000000ffffffff
Color Hash:#76783a

Scan History

Scan history not available

Unable to load historical scan data