Summary
This website contacted 34 IPs in 2 countries across 9 domains to perform 33 HTTP transactions. The main domain is dataprivacyframework.gov and was registered NaN years ago.
Submitted URL: https://www.dataprivacyframework.gov/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
Legitimate government site with minimal risk.
Safety Factors
Well‑established domain age (> 365 days)
Official government branding and language
Absence of password, payment, or personal data collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable
Details
Page Title
Data Privacy Framework
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(95%)Screenshot

Page Load Overview
46.42s
Total Load Time
33
HTTP Requests
9
Domains
1.4 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,058 chars
Detector Agreement:100%
Website Classification
Primary Category
government95% confidence
Type: dynamic
Method: structural
All Detected Categories
government
95%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 33 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 142.250.185.99 | United States | AS15169GOOGLE |
| 0 | 142.250.186.138 | United States | AS15169GOOGLE |
| 0 | 104.102.54.95 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 23.48.23.7 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 20.49.104.57 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 20.60.220.36 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 2606:4700::6811:180e | Germany | Unknown |
| 33 | 34 | - | - |
Detected Technologies2
40%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T127626332D4C4202F12330AC9F6A5BB1AE6C3912EDA574C10EB7447EA1AD7D61AD4E736
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
192:rJdxtttN8TIimOVqRxKBp25qiIH+yWuKCHYrOjEem:rvwUp0JKCH6O9m
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:15736:A6ClFABABwrCJhA4ZqA2BAHpgaEAVSyRETUBAiQIuKWkYECAZQgm4xBiEmQAGUZET0QJECRpAwVDyyEggIIVCEkgdI5IbQDC
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:ffc78383838181ff
Perceptual Hash:bc97c38cc7296c32
Difference Hash:612f33332b33332a
Wavelet Hash:ffc38381838181ff
Color Hash:#87bac5
Other Hashes
Crop Resistant:612f33332b33332a,c789bc3e7fdff8fc,b232f0ecdcb4f2cc
Scan History
Scan history not available
Unable to load historical scan data