Security Scan: Pannellum

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3f510fe4-6e36-4b8a-8ab1-cea311024475 Domain and IP registration (RDAP)/api/v1/rdap/3f510fe4-6e36-4b8a-8ab1-cea311024475How often this domain was scanned/api/v1/domain/stats/hrr.mlit.go.jp Scan history for this domain/api/v1/domain/history/hrr.mlit.go.jp?limit=15

This website contacted 28 IPs in 5 countries across 2 domains to perform 3 HTTP transactions. The main domain is mlit.go.jp and was registered 25 years ago.

Submitted URL: https://www.hrr.mlit.go.jp/chokoku/hatizyuuri/progress/pannellum/pannellum.htm?config=%2F%5C%2Fsanimbro.online%2Fxnxpox%2Fleipzig-fc-vs-real-madrid-cf-liv-vivo_8r-901

The Cisco Umbrella rank of the primary domain is #260,287 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

Risk Score

Legitimate 25-year-old government Pannellum viewer, but its URL carries an injected parameter pointing to spam domain sanimbro.online — parasitic SEO abuse. No forms, malware or Indicators of Compromise on the page itself.

Risk Factors (3)

URL parameter injection referencing external spam domain sanimbro.online with sports-streaming keyword slug

Legitimate high-authority domain apparently abused as a content-injection/SEO ranking vector for third-party spam

External page dependencies include anonymized blogspot/github and hit-counter hosts

Safety Factors (4)

Domain is 9,456 days old (hrr.mlit.go.jp, registered 2000) and belongs to a Japanese government ministry

Zero forms, zero password fields, zero payment fields — no credential or payment harvesting

No threat-intelligence matches, no JavaScript malware patterns, no network IDS alerts

Page content is a standard open-source Pannellum panorama viewer

Domain age information unavailable

Details

Page Title

Pannellum

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.hrr.mlit.go.jp' on the Japanese country-code top-level domain (.go.jp) with subdomain 'www.hrr'. The core label 'mlit' covers 4 characters containing one vowel alongside three consonants. Splitting it apart reveals two words: ml, it. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

6.03s

Total Load Time

25 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:51%

Script:Latin

Direction:ltr

Detection Details

Text Length:232 chars

Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence

Type: static

Method: ml+structural

All Detected Categories

technology software

63%

documentation technical

44%

news media journalism

42%

healthcare medical

36%

real estate property

36%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
3	43.253.212.49	Japan	AS17686ACCELIA
0	92.113.23.55	Frankfurt am Main, Hesse, Germany	AS47583Hostinger International Limited
0	185.199.111.153Fastly · CDN	United States	AS54113Fastly, Inc.
0	99.84.152.110Cloudfront · CDN	United States	AS16509Amazon.com, Inc.
0	2.16.206.135Akamai · CDN	Hamburg, Free and Hanseatic City of Hamburg, Germany	AS20940Akamai International B.V.
0	167.114.157.80	Montreal, Quebec, Canada	AS16276OVH SAS
0	142.251.127.132Google · CDN	United States	AS15169Google LLC
0	142.251.110.191Google · CDN	United States	AS15169Google LLC
0	142.250.154.113Google · CDN	United States	AS15169Google LLC
0	142.251.13.191Google · CDN	United States	AS15169Google LLC
3	28	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB635CBC322125374087A29B54DF050F213A97DFFD836E5869B4E4C84B65D88137FB69

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uLuLOHXztSIkTsUJcAU3PjDiNcQX1m3x5XkE+STZXE0UM75rb6oj3:uLuL2zLPEZFmB5XkE+STZXE0UM75rb6o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69618:YEoNQ0scIoowYYok1BCECUgAKwbAAhAoAOwEAkEdUwLSwSQIgRAAlopIBIK9VApKBQAxDYERKEYAEsQHOEYVKEIViSgACBPA

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:ffffffe7e7ffffff

Perceptual Hash:a208882337dddd77

Difference Hash:800c324d4d320c00

Wavelet Hash:00ff00e700ff88ff

Color Hash:#4e1f93

Other Hashes

Crop Resistant:800c324d4d320c00,09416bf4d8612115

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: www.hrr.mlit.go.jp