Security Scan Report: digital.gov

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Submitted: Oct 25, 2025, 3:03:52 PMCompleted: Oct 25, 2025, 3:05:14 PMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 6 domains to perform 40 HTTP transactions. The main domain is digital.gov.

Submitted URL: https://digital.gov/guides/plain-language

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate U.S. government resource with no security concerns.

Safety Factors
Official U.S. government domain (digital.gov)
Secure HTTPS connection
No suspicious forms or data collection
Content matches legitimate government guidance
Domain age information unavailable

Details

Page Title

Plain Language Guide Series – Digital.gov

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

legitimate website

(49%)

Domain Information

The domain 'digital.gov' uses the United States government-restricted top-level domain (.gov). The second-level label 'digital' is 7 characters long split between three vowels and four consonants. Segmentation suggests 1 word: digital. Median word length comes out to seven characters. The linguistic tilt is English for 'digital'. You will also see it in Spanish and Indonesian contexts.

Screenshot

Security scan screenshot of https://digital.gov/guides/plain-language

Page Load Overview

39.48s
Total Load Time
40
HTTP Requests
6
Domains
2.6 MB
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:3,303 chars
Detector Agreement:100%

Website Classification

Primary Category

legitimate website49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

legitimate website
49%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1466.117.61.24Manassas, Virginia, United States
AS29748QTS-ASH
123.50.131.149Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.184.200United States
AS15169GOOGLE
113.32.121.52New York, New York, United States
AS16509AMAZON-02
113.32.121.96New York, New York, United States
AS16509AMAZON-02
113.32.121.18New York, New York, United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
113.32.121.63New York, New York, United States
AS16509AMAZON-02
123.201.246.223Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
12600:9000:236e:1200:10:2458:55c0:93a1United States
AS16509AMAZON-02
4027--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102D2832290E11536222385D6B7A23F1DEF91C023EA2A5C41F6FC17A59FD3E468D1363D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:46a8ADlaD3b8KBD6DHmTFzE+AC+hjB0us3HbsFqhkpfk9j:46a8AsD3b8rGTFI+AC+hjB0us3HbBJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29420:+QRphRJAO4ETAIiQAJByNUCitIsKAATiiIAXUAVggEgB0wQ0TTlYhIRgJ/QLEEAM5giUNoAAneQBEwplxDaCIgAQoSEAISqK

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:ffff00000000ffff
Perceptual Hash:d099bd76404b36bc
Difference Hash:ac2039e1844db814
Wavelet Hash:ffff00000000ffff
Color Hash:#2d4386

Scan History

Scan history not available

Unable to load historical scan data