ScanMalware.com

Security Scan Report: peerdirect.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/44802e67-499a-40fd-b763-f69b9327c5e0Domain and IP registration (RDAP)/api/v1/rdap/44802e67-499a-40fd-b763-f69b9327c5e0How often this domain was scanned/api/v1/domain/stats/peerdirect.comScan history for this domain/api/v1/domain/history/peerdirect.com?limit=15
This website contacted 20 IPs in 2 countries across 14 domains to perform 65 HTTP transactions. The main domain is peerdirect.com and was registered 12 years ago.

Submitted URL: https://peerdirect.com

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established healthcare education site with self-branding, no credential/payment forms, and no threat-intelligence or malware signals. Safe to use.

Safety Factors (5)
Established 12-year-old domain
Self-branding matches the domain
No credential or payment collection
No Indicators of Compromise or malware signals
Only a standard email newsletter subscription form is present
Domain age information unavailable

Details

Page Title

PeerDirect Publishing - Moving Science Forward

Scan Type

public

Domain Name Analysis

The domain name 'peerdirect.com' uses the commercial generic top-level domain (.com). Its registrable label 'peerdirect' stretches across 10 characters split between 4 vowels and 6 consonants. Word splitting yields 2 words: peer, direct. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

PeerDirect™ Moving Science Forward PeerDirect creates learning experiences for healthcare professionals that aid clinical decision-making, inform practice, and elevate the quality of patient care....

Page Load Overview

1.77s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:3,024 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
45%
education learning
35%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.15.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
365.8.131.52Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.151.119Google · CDNUnited States
AS15169Google LLC
318.64.181.198Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
318.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3162.247.243.39Fastly · CDNUnited States
AS54113Fastly, Inc.
3185.221.85.3Ireland
AS206998New Relic International Limited
6520--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DE31CB2B1C1303B296341EEE3D69E007239D8E7694D96D6B29D99900FCB6DD352393C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:M/szEtQnfR8MRCvYpwuC6WNMa4dlGt1n3dD2aODj1QHvRIJPzycryMdw:V1BlWNMa4dlxzO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149720:BAeDEWiBOPIhAgyeUxGiVQEJVECAgRCQMmEscczjETIt6BMg44xD6ACRgojoQFICCoWmGqYQAwiGBiPQgmH1QIQAuCIgBDGH

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:f9e888d8f8ffffff
Perceptual Hash:c949b6b4949eb692
Difference Hash:62133323430c080c
Wavelet Hash:80800098f8e7ffff
Color Hash:N/A

Other Hashes

Crop Resistant:62133323430c080c,67674f634f070e07

Scan History

Scan history not available

Unable to load historical scan data