Summary
This website contacted 104 IPs in 3 countries across 33 domains to perform 192 HTTP transactions. The main domain is specterops.io and was registered NaN years ago.
Submitted URL: https://specterops.io/
The Cisco Umbrella rank of the primary domain is #547,129 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with a standard login form; no security concerns detected.
Safety Factors
Details
Page Title
SpecterOps - Creators of BloodHound | Leaders in Identity Attack Path Management
Scan Type
public
Language
English
Category
malicious
(34%)Domain Information
Domain 'specterops.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The second-level label 'specterops' is 10 characters long holding three vowels versus 7 consonants. Breaking it apart gives 2 words: specter, ops. Average segment length settles at five 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 |
|---|---|---|---|
| 102 | 192.0.66.91 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 10 | 104.18.19.62 | United States | AS13335CLOUDFLARENET |
| 7 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 7 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 142.250.184.202 | United States | AS15169GOOGLE |
| 5 | 104.26.14.52 | United States | AS13335CLOUDFLARENET |
| 5 | 216.58.206.40 | United States | AS15169GOOGLE |
| 4 | 142.250.184.195 | United States | AS15169GOOGLE |
| 4 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 4 | 54.156.13.80 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 192 | 104 | - | - |
Detected Technologies8
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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