Summary
This website contacted 9 IPs in 2 countries across 11 domains to perform 121 HTTP transactions. The main domain is fd-sssgov-g9f6gte3hqc3bmc6.a01.azurefd.net and was registered NaN years ago.
Submitted URL: https://fd-sssgov-g9f6gte3hqc3bmc6.a01.azurefd.net
The Cisco Umbrella rank of the primary domain is #882,716 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
Site mimics the Philippines Social Security System on an unrelated domain; likely phishing.
Risk Factors
Details
Page Title
Republic of the Philippines Social Security System
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
Domain 'fd-sssgov-g9f6gte3hqc3bmc6.a01.azurefd.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'fd-sssgov-g9f6gte3hqc3bmc6.a01'. Its registrable label 'azurefd' stretches across 7 characters split between three vowels and 4 consonants. Splitting it apart reveals 2 words: azure, fd. Average segment length settles at 3.5 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 |
|---|---|---|---|
| 20 | 151.101.194.137 | Germany | |
| 13 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 13 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 13 | 216.58.206.74 | Germany | |
| 13 | 184.24.77.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 172.217.208.95 | Germany | Unknown |
| 13 | 216.58.206.40 | Germany | Unknown |
| 13 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 13 | 142.251.140.163 | United States | AS15169GOOGLE |
| 124 | 9 | - | - |
Detected Technologies18
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
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