Security Scan Report: govramp.org

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Submitted: Dec 3, 2025, 3:01:04 PMCompleted: Dec 3, 2025, 3:03:07 PMpubliccompleted
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Summary

This website contacted 87 IPs in 2 countries across 23 domains to perform 208 HTTP transactions. The main domain is govramp.org and was registered NaN years ago.

Submitted URL: https://govramp.org/blog/document/incident-response-plan-irp-template/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Established domain age
Visible physical address
Clear nonprofit organization information
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Incident Response Plan (IRP) Template - GovRAMP

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(57%)

Domain Information

You're looking at domain 'govramp.org' on the non-profit oriented generic top-level domain (.org) without a subdomain. The second-level label 'govramp' is 7 characters long holding 2 vowels versus 5 consonants. Segmentation suggests 2 words: gov, ramp. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://govramp.org/blog/document/incident-response-plan-irp-template/

Page Load Overview

2.24s
Total Load Time
208
HTTP Requests
23
Domains
1.9 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-US
Text Length:3,182 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service57% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
57%
documentation technical
38%
corporate
35%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8718.245.60.94United States
AS16509AMAZON-02
77100.25.6.219Ashburn, Virginia, United States
AS14618AMAZON-AES
5104.19.159.252United States
AS13335CLOUDFLARENET
5142.250.185.72United States
AS15169GOOGLE
4104.16.117.43United States
AS13335CLOUDFLARENET
3216.239.34.36United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3104.17.92.187United States
AS13335CLOUDFLARENET
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2172.64.150.44United States
AS13335CLOUDFLARENET
20887--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6F3D6713C4D143A226F32CFE05BA31C62CBDBA2DF5499E8B1F6112897B5E9036E3645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:h8s6VpWROHJwCzgLh9eY7Ve0Phbssb1QYwcILal42Qh6ItPFEDof5OPm9kawdTUr:VOHJ0Lh9m7gUn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:160833:fRIACBbKIAy0ZJ7qRUJQJR4JAgEhAsuKBKiIo4TQsRgCBEE/FB6bCAtDgkEyaAJMFQBQTCOLAfgikAApBAMYaAE5V4qFgEpc

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:0000fffffff9ffff
Perceptual Hash:eb32486a369dca95
Difference Hash:49c9304d0f230213
Wavelet Hash:0000ff81e7f9fb31
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data