ScanMalware.com

Security Scan Report: jiedian-bcc.pages.dev

Site favicon
Submitted: Dec 28, 2025, 8:59:24 PMCompleted: Dec 28, 2025, 9:01:18 PMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 0 countries across 15 domains to perform 54 HTTP transactions. The main domain is jiedian-bcc.pages.dev and was registered NaN years ago.

Submitted URL: https://jiedian-bcc.pages.dev/ja

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

Site has a malicious primary domain indicator; treat as high‑risk and do not engage.

Risk Factors
Primary domain pages.dev flagged as malicious
Unranked in Cisco Umbrella (suggests suspicious reputation)
Rate‑limiting response (429) may indicate abusive activity
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

429 Too Many Requests

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

technology software

(74%)

Domain Information

The domain 'jiedian-bcc.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'jiedian-bcc'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside 3 consonants. It segments into one word: pages. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jiedian-bcc.pages.dev/ja

Page Load Overview

0.65s
Total Load Time
54
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:ja
Text Length:1,091 chars
Detector Agreement:50%
Language mismatch: Declared as ja but detected as en

Website Classification

Primary Category

technology software74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
41%
government public service
37%
corporate business
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19146.75.122.219UnknownUnknown
12188.114.96.3UnknownUnknown
444.193.128.80UnknownUnknown
423.36.162.25UnknownUnknown
3172.217.23.106UnknownUnknown
23.233.250.88UnknownUnknown
2178.250.1.12UnknownUnknown
1162.19.138.120UnknownUnknown
164.233.167.84UnknownUnknown
1104.18.87.42UnknownUnknown
015--

Detected Technologies4

Open-Graph-Protocolvwebsite
100%
Google Tag Manager
30%
Google Sign-in
20%
Apple Sign-in
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E01408F562B8536D908B879DAF36A618770FE0B7F99649D4B79D8B644B83CE0E803404

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rJL/p4p4yv6s0xE6J/CgbcVKzoKeMXKLnpI6dDcPXE+ymj6aslNzlbsjq0Aok37Q:tUb6bagbcVMaWUZD+3UbwnZj8MM9O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194848:VRwIhwVDLY9ARACFRBCxVZQBWnQiSATANBIATWkC4oANQukJ4lwQIRrAUXBDYDk09DBAQFKiAYgYMx4rglIcgGCwCiFhYioC

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:6fbdfdfdfdfd0101
Perceptual Hash:aad523f10af522d5
Difference Hash:9d35353131352161
Wavelet Hash:6f1f1b1b3f1f0101
Color Hash:#902dd2

Other Hashes

Crop Resistant:2d2d2d2d2c2d2ded,9d31353131352161

Scan History

Scan history not available

Unable to load historical scan data