Summary
This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is did2memo.net and was registered NaN years ago.
Submitted URL: https://did2memo.net/2021/02/12/steam-e502-l3-error/
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Website Access Blocked
This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.
Page Title
Attention Required! | Cloudflare
Scan Type
public
Language
Japanese
Category
forum
(50%)Domain Information
The domain 'did2memo.net' uses the network infrastructure generic top-level domain (.net) without a subdomain. The core label 'did2memo' covers 8 characters containing 3 vowels alongside four consonants; it also includes 1 digit. Tokenizing the label suggests three words: did, 2, memo. The median word length lands at three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 82 | 104.26.0.93 | United States | AS13335CLOUDFLARENET |
| 82 | 1 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data