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LIMITED DATA

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Security Scan Report: neglecteddiseases.gov

Submitted: Nov 18, 2025, 10:39:42 AMCompleted: Nov 18, 2025, 10:41:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is neglecteddiseases.gov and was registered NaN years ago.

Submitted URL: https://neglecteddiseases.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate; no security risks detected despite being currently inaccessible.

Safety Factors
Long‑standing domain registration
Official government top‑level domain
Absence of suspicious content or forms
Domain age information unavailable

Details

Page Title

www.neglecteddiseases.gov

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

You're looking at domain 'neglecteddiseases.gov' on the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'neglecteddiseases' stretches across 17 characters holding seven vowels versus 10 consonants. Breaking it apart gives two words: neglected, diseases. Expect 8.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://neglecteddiseases.gov/

Page Load Overview

30.14s
Total Load Time
3
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:759 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
60%
government public service
56%
adult content
50%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
312.96.42.244Washington, District of Columbia, United States
AS7018ATT-INTERNET4
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178047F77329A063986458499E057430D9F20B143B50ACDBC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz42bMy8Oldg:FhoC9J395CbZgLtSL3gcrsk2eAm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183619:QkQAiJAgmADIArMNDEihssJQJEowuDpOVoBSMJGBGSi83YRJAiUBpqkAA2ougECiJGMJqMZIZoDMhFwlASoAEQV2GRGYZmeR

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc273333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#8979d2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

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