Security Scan Report: stackoom.com

Submitted: Mar 22, 2026, 12:19:24 PMCompleted: Mar 22, 2026, 12:21:52 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is stackoom.com and was registered NaN years ago.

Submitted URL: https://stackoom.com

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well-established domain (over 7 years old)
Standard hosting environment
No credential or payment forms
No malicious Indicators of Compromise
No redirects
Domain age information unavailable

Details

Page Title

中文版stackoverflow - 堆栈内存溢出

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

cryptocurrency blockchain

(45%)

Domain Information

You're looking at domain 'stackoom.com' on the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'stackoom' spans 8 characters containing 3 vowels alongside 5 consonants. It segments into two words: stack, oom. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stackoom.com

Page Load Overview

1.22s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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
Text Length:50 chars
Detector Agreement:33%

Website Classification

Primary Category

cryptocurrency blockchain45% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
45%
technology software
41%
documentation technical
36%
adult content
32%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1118.31.174.222Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
1142.250.201.72China
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A41016248453C37432242D8195CA318F5DF6C4DE79A6CE432FB83F60B91E4854679FE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:edFLrzApYyq/LFOSF0sjBhXSqrJAWgn2Dv2Ub9cR+dLs9r:ejztygPBhiqruWRvP9P9gr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2196:EIAAAIoIBjAAuAAAAAhAAQoHAhAAQUAAAQgAAAAAgkoBIAICAAAAAAKABAAGAAAAIAgAAAAAgCAAAQAAEAxgABIBAAAQgAIQ

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:c363636363636363
Difference Hash:4000000000000000
Wavelet Hash:009f0f0f0f0f0f0f
Color Hash:#96ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data