Security Scan Report: snowflake.qq.com

Submitted: Mar 18, 2026, 2:54:02 PMCompleted: Mar 18, 2026, 2:55:38 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is snowflake.qq.com and was registered NaN years ago.

Submitted URL: https://snowflake.qq.com

The Cisco Umbrella rank of the primary domain is #1,761 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

government public service

(49%)

Domain Information

The domain name 'snowflake.qq.com' uses the commercial generic top-level domain (.com) and includes subdomain 'snowflake'. The core label 'qq' covers 2 characters split between zero vowels and two consonants. Segmentation suggests 1 word: qq. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snowflake.qq.com

Page Load Overview

1.49s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:145 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
49%
news media journalism
40%
cryptocurrency blockchain
36%
documentation technical
35%
social media network
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.129.2.38Singapore
AS132203Tencent Building, Kejizhongyi Avenue
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CE0262D86D20A2E066295F8AC4221880BD8B20744221E40FBE88D5448CE91B8903684

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96eAMGxBc8oBqzHXjqgSzHXjqx5i+IqHVBL+ZRNdxELa:kxV7HfeoxqazHX4zHXM5i+3BK7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d8394f603bdd3965586e52f011370db3

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:00ffffffffffffff
Perceptual Hash:b233333333333333
Difference Hash:8c00000000000000
Wavelet Hash:00ffcfcf00000000
Color Hash:#522d86

Other Hashes

Crop Resistant:8c00000000000000

Scan History

Scan history not available

Unable to load historical scan data