Security Scan Report: py.usembassy.gov

Submitted: Apr 19, 2026, 3:14:31 PMCompleted: Apr 19, 2026, 3:15:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is py.usembassy.gov and was registered NaN years ago.

Submitted URL: https://py.usembassy.gov/secretary-of-state-marco-rubio-with-kristen-welker-of-nbcs-meet-the-press/

The Cisco Umbrella rank of the primary domain is #120,596 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate with minimal risk; no malicious activity detected.

Risk Factors
Low Cisco Umbrella ranking (#120,596) for a site claiming a government brand
Safety Factors
Long‑standing domain registration
Absence of credential or payment collection
No malicious indicators from IoC, YARA, or IDS
Domain age information unavailable

Details

Page Title

Technical Difficulties

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(75%)

Domain Information

You're looking at domain 'py.usembassy.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'py'. The registrable portion 'usembassy' spans 9 characters holding three vowels versus 6 consonants. Splitting it apart reveals 2 words: us, embassy. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://py.usembassy.gov/secretary-of-state-marco-rubio-with-kristen-welker-of-nbcs-meet-the-press/

Page Load Overview

0.57s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:461 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism75% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
75%
government public service
74%
adult content
64%
documentation technical
58%
healthcare medical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.13.95United States
099.84.152.2United States
AS16509Amazon.com, Inc.
0142.251.20.94United States
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DE4123AD146E61EBB94827C3A190E271DD0696B428F31894CC9B14E3C7BBD7CCDDA64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:4lMR1x4TGwZtuv0sgTnWhPnY7k2Iy3sQMELrS2QtdO2B1Y4Y5:4or4TGwussgCRbQP3SsYY4Y5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:659502:IIxyMKiQBKBgHSVxcAEgIAgMlJBy4gAhhAESzBJygIkRG0TikQhEsMiNqqUMaRkMHpACQKokAlERYEgIBQthwToJy+ACFEQB

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:ffc3c3e7ffffffff
Perceptual Hash:e424999bcfce6431
Difference Hash:0016160408040000
Wavelet Hash:ffc3c3c300000000
Color Hash:#539fac

Scan History

Scan history not available

Unable to load historical scan data