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Security Scan Report: natfluence.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/03c7fa90-0dd0-44d4-8a70-abcbcda60c1aDomain and IP registration (RDAP)/api/v1/rdap/03c7fa90-0dd0-44d4-8a70-abcbcda60c1aHow often this domain was scanned/api/v1/domain/stats/natfluence.comScan history for this domain/api/v1/domain/history/natfluence.com?limit=15
This website contacted 70 IPs in 2 countries across 54 domains to perform 272 HTTP transactions. The main domain is natfluence.com and was registered 7 years ago.

Submitted URL: https://natfluence.com/interview/timothy-draper/

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

The page shows no phishing, malware, or credential collection and appears legitimate.

Safety Factors (4)
Established domain age
Self-branding matches domain
No suspicious forms or credential collection
No malicious IoC or YARA detections
Domain age information unavailable

Details

Page Title

Tim Draper | Renowned Silicon Valley Venture Capital Investor | Founder of Draper Associates, Draper University & DFJ Venture Capital

Scan Type

public

Domain Name Analysis

The domain 'natfluence.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'natfluence' stretches across 10 characters containing 4 vowels alongside six consonants. Breaking it apart gives four words: nat, flu, en, ce. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://natfluence.com/interview/timothy-draper/

Page Load Overview

11.69s
Total Load Time
7.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:68,894 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
31%
corporate
25%
news/blog
20%
forum
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
65192.178.183.156Google · CDNUnited States
AS15169Google LLC
3209.59.158.114United States
AS32244Liquid Web, L.L.C
3185.199.109.153United States
AS54113Fastly, Inc.
365.8.131.102Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3192.178.170.95Google · CDNUnited States
AS15169Google LLC
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
3185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
27270--

Detected Technologies6

MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Bootstrapv1
100%
WordPress
70%
PHP
50%
MySQL
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160430A36A158085B6737879B9481733EE418B101DB9763F9F4B7602C8B9F6F712B260E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:DiWTgZdypa9f/ZHuVgwSNRt5bJqOWLE5gA/T:fIypdVgwSNRXbJqOWLkgA/T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58397:AmDASeZQBmAkSBggAQSANELliPuQaCSEhC1imMAghAJJ6nyWipMliiQqBKJKhAEiScAh4iAwSBTpgBPEoQzkSJAgMQqIADiE

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:00700000181800ff
Perceptual Hash:d862f61cb436b61c
Difference Hash:84c0c0d1b2717170
Wavelet Hash:e6fc7870181818ff
Color Hash:#79a3d2

Other Hashes

Crop Resistant:7200020202010000,84c0c0c1b2707170

Scan History

Scan history not available

Unable to load historical scan data