Summary
This website contacted 10 IPs in 2 countries across 10 domains to perform 1 HTTP transaction. The main domain is cancercontrol.cancer.gov and was registered NaN years ago.
Submitted URL: https://cancercontrol.cancer.gov/ocs/about/survivorship-month
The Cisco Umbrella rank of the primary domain is #77,506 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
The site is a legitimate US government page about cancer survivorship with no security concerns.
Safety Factors
Details
Page Title
National Cancer Survivors Month | Division of Cancer Control and Population Sciences (DCCPS)
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'cancercontrol.cancer.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'cancercontrol'. The registrable portion 'cancer' spans 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 1 word: cancer. 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 |
|---|---|---|---|
| 7 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 6 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 6 | 104.19.148.8 | United States | AS13335Cloudflare, Inc. |
| 6 | 142.251.36.106 | Unknown | |
| 6 | 142.251.140.163 | Unknown | |
| 6 | 151.101.1.229 | United States | AS54113Fastly, Inc. |
| 6 | 142.251.141.104 | Unknown | |
| 6 | 63.140.62.172 | United States | AS16509Amazon.com, Inc. |
| 6 | 3.232.0.201 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 6 | 99.84.152.56 | Unknown | Unknown |
| 61 | 10 | - | - |
Detected Technologies9
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