Summary
API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/579f2e9f-3f1c-4d17-a3b8-95f2e5412fc6Domain and IP registration (RDAP)/api/v1/rdap/579f2e9f-3f1c-4d17-a3b8-95f2e5412fc6How often this domain was scanned/api/v1/domain/stats/nationalgeographic.comScan history for this domain/api/v1/domain/history/nationalgeographic.com?limit=15This website contacted 71 IPs in 3 countries across 19 domains to perform 143 HTTP transactions. The main domain is nationalgeographic.com.
Submitted URL: https://www.nationalgeographic.com/travel/article/manchester
The Cisco Umbrella rank of the primary domain is #54,511 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
0
Risk Score
The site is a legitimate National Geographic domain with a standard 404 page and no malicious indicators.
Safety Factors (4)
Established, reputable domain
No malicious Indicators of Compromise
No login or payment forms
Page content matches expected 404 behavior
Domain age information unavailable
Details
Page Title
National Geographic - 404 | National Geographic
Scan Type
public
Screenshot
Page Load Overview
61.37s
Total Load Time
4.7 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
HTML Lang Attribute:en
Text Length:3,521 chars
Detector Agreement:100%
Website Classification
Primary Category
travel tourism60% confidence
Type: static
Method: ml+structural
All Detected Categories
travel tourism
60%
corporate
25%
news
15%
Detected Features
OG: website
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 2 | 52.222.136.123 | United States | AS16509AMAZON-02 |
| 2 | 52.222.136.127 | United States | AS16509AMAZON-02 |
| 2 | 63.140.62.236 | United States | AS16509AMAZON-02 |
| 2 | 3.88.126.46 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 18.66.102.6 | United States | AS16509AMAZON-02 |
| 2 | 142.250.181.226 | United States | AS15169GOOGLE |
| 2 | 184.24.77.170 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 146.75.122.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 52.222.136.101 | United States | AS16509AMAZON-02 |
| 143 | 71 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focused
Specialized for malware detection and similarity analysis
T1DFB4E7F31320525C784F8BACEF36A894111B60EEB9E551C467ADEF919DC3EE7B624900
ssdeep (Context Triggered Piecewise Hashing)
Context-aware
Detects similar content even with modifications
3072:n7NbnLzzSaaf9mN+GA3smWTXJjf4bvpjM0H00qQLqV8+HyTLVo0sSBVGfy2r+lpf:n7NbnLzzEmz0H0kVo0sSBVG4rD
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:500064:JTggCwKQF+RUDUCEw4DeAAES0ARRgIRAgLQEDIAFKzeKgDFCXG2In6YlJ4gJwjAMKAACgWAFEkpySBYEAC2YqRogCtMhnBEA
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:ffff3c3c000000ff
Perceptual Hash:9a9ae165ce5a38e1
Difference Hash:716979686900c800
Wavelet Hash:ffff3c3c000000ff
Color Hash:#79a1d2
Other Hashes
Crop Resistant:e0b0a2bebaba8c8c,716979686900c800
Scan History
Scan history not available
Unable to load historical scan data