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Security Scan Report: papers.ssrn.com

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Submitted: Oct 17, 2025, 9:00:01 AMCompleted: Oct 17, 2025, 9:03:35 AMpubliccompleted
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Summary

This website contacted 55 IPs in 2 countries across 19 domains to perform 90 HTTP transactions. The main domain is papers.ssrn.com and was registered NaN years ago.

Submitted URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3423101

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Official SSRN academic repository
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Day Trading for a Living? by Fernando Chague, Rodrigo De-Losso, Bruno Giovannetti :: SSRN

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

phishing/scam

(40%)

Domain Information

Domain 'papers.ssrn.com' uses the commercial generic top-level domain (.com), featuring subdomain 'papers'. The second-level label 'ssrn' is 4 characters long containing 0 vowels alongside four consonants. Tokenizing the label suggests 2 words: ssr, n. Median word length is 2 characters. The linguistic tilt is Afrikaans for 'ussr'. Secondary signals appear in Breton and Dutch. Net impression: Afrikaans phrase.

Screenshot

Security scan screenshot of https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3423101

Page Load Overview

10.95s
Total Load Time
90
HTTP Requests
19
Domains
784 KB
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:9,316 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing/scam40% confidence
Type: spa
Method: structural

All Detected Categories

phishing/scam
40%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3654.161.147.8Ashburn, Virginia, United States
AS14618AMAZON-AES
32104.16.43.248United States
AS13335CLOUDFLARENET
16104.16.39.248United States
AS13335CLOUDFLARENET
10104.18.86.42United States
AS13335CLOUDFLARENET
513.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
513.35.58.29United States
AS16509AMAZON-02
5184.28.89.29Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4104.18.10.207United States
AS13335CLOUDFLARENET
334.107.204.85Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2142.250.186.74United States
AS15169GOOGLE
9055--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12444B49BB9A4631AE6E393289A567A883021986FFD738CDCF10D43785FCCBF15C15609

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:arDw+snuH+N8uanPW8AemApXzzQYa4AMJJGjUDRT:WsnEuanPW8AemApXzzQYlAtST

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:269742:M0bJsXYAG0Z0CsAQGcY31IJmUgCGFoENgOlAIeQIQusEEqSijMgCEBwwAa0AyQBuhazDPMHAhGcEkWPtKBKEaBDoABCEb6hG

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:000000000000ffff
Perceptual Hash:a916dd16d2c946e9
Difference Hash:bc3313333b353302
Wavelet Hash:40818b998183ffff
Color Hash:#87abc5

Other Hashes

Crop Resistant:bc3313333b353302,8035333233331e32

Scan History

Scan history not available

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