Security Scan Report: quant.stackexchange.com

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Submitted: Sep 28, 2026, 2:51:38 PMCompleted: Sep 28, 2026, 2:52:44 PMpubliccompleted

This website contacted 162 IPs in 7 countries across 97 domains to perform 386 HTTP transactions. The main domain is quant.stackexchange.com and was registered 21 years ago.

Submitted URL: https://quant.stackexchange.com/questions/71235/how-do-you-find-the-corresponding-market-index-of-a-stock

The Cisco Umbrella rank of the primary domain is #22,110 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Stack Exchange quantitative-finance Q&A page. Established 17-year-old domain, self-branded, no Indicators of Compromise, no malware, no impersonation. The circular-redirect flag is consistent with a benign redirect/SSO artifact.

Safety Factors (6)
Well-established domain (6317 days old, registered 2009-06-12)
Top 100K Cisco Umbrella ranking (22,110)
Self-branding: title/meta match the domain, no impersonation of a different entity
No Indicators of Compromise, no YARA malware hits, no IDS alerts
No cross-origin credential forms or credential exfiltration detected
All JavaScript served from the site's own domain
Domain age information unavailable

Details

Page Title

finance - How do you find the corresponding market index of a stock? - Quantitative Finance Stack Exchange

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'quant.stackexchange.com' is registered and includes subdomain 'quant'. Its registrable label 'stackexchange' stretches across 13 characters containing four vowels alongside nine consonants. Segmentation suggests 2 words: stack, exchange. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://quant.stackexchange.com/questions/71235/how-do-you-find-the-corresponding-market-index-of-a-stock

Page Load Overview

0.45s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:24,293 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software47% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
47%
forum
35%
corporate
35%
forum community discussion
32%
government public service
27%

Detected Features

Search
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
64198.252.206.1Cloudflare · CDNUnited States
AS13335Cloudflare, Inc.
2104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2198.252.206.17Cloudflare · CDNUnited States
AS13335Cloudflare, Inc.
2192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
2142.251.20.132Google · CDNUnited States
AS15169Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.156Google · CDNUnited States
AS15169Google LLC
386162--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A94F95376E0263E96E38388A6A27B897515D54FFE6708ECF19C43B84BCDFD18C16209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:A0WGp7eUj7cY+we0TwJ1sXPS/gu0j1dKKK64dSR6+4Pxs7L1oljiURe:ow3cVwej0tUxs7L1M1e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:432852:BMBnUHAA1CnSAELgUGTQRIZAAQexEUQgU3EDLQNwSodwQqkiQNwAECBxMFdQGcEK0nIhgMQgowygj6PyAaiapgHAwCnLIUkM

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:00ffffff47477f7f
Perceptual Hash:b35e4c33334c3533
Difference Hash:e2191ec39f9fc3df
Wavelet Hash:00fdc76307037f27
Color Hash:#bfd279

Scan History

Scan history not available

Unable to load historical scan data