Summary
API
Submitted URL: https://com-accounts.my.id/
AI Security Verdict
Low Risk
Confidence: 85%
The page redirects to legitimate Bing but uses a suspicious domain for branding; low risk overall.
Risk Factors (2)
Safety Factors (3)
Details
Page Title
Suche – Microsoft Bing
Scan Type
public
Domain Name Analysis
The domain 'com-accounts.my.id' uses the Indonesian country-code top-level domain (.my.id) with no subdomain. The second-level label 'com-accounts' is 12 characters long containing 4 vowels alongside 7 consonants, plus one hyphen. Splitting it apart reveals 2 words: com, accounts. Median word length is 5.5 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 |
|---|---|---|---|
| 47 | 184.24.77.74 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 184.24.77.45 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.55.161.136 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 92.123.104.63 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2.20.142.251 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 92.123.104.12 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 92.122.215.56 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 92.123.104.24 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 184.24.77.75 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 335 | 73 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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