Summary
This website contacted 80 IPs in 2 countries across 14 domains to perform 59 HTTP transactions. The main domain is whistleblowers.gov and was registered NaN years ago.
Submitted URL: https://www.whistleblowers.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate and poses no apparent security risk.
Safety Factors
Details
Page Title
The Whistleblower Protection Programs | Whistleblower Protection Program
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'www.whistleblowers.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Count 14 characters in 'whistleblowers' with 4 vowels and ten consonants. Segmentation suggests 2 words: whistle, blowers. Median word length is 7 characters. The linguistic tilt is Chinese (Pinyin) for 'whistle'. It also appears in English and Indonesian contexts. Overall, 'www.whistleblowers.gov' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 59 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 0 | 172.217.18.14 | United States | AS15169GOOGLE |
| 0 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 0 | 216.239.34.36 | United States | AS15169GOOGLE |
| 0 | 142.250.185.202 | United States | AS15169GOOGLE |
| 0 | 13.32.27.113 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 23.201.247.20 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 142.250.185.78 | United States | AS15169GOOGLE |
| 0 | 13.32.27.50 | New York, New York, United States | AS16509AMAZON-02 |
| 59 | 80 | - | - |
Detected Technologies7
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
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