Security Scan Report: trendspider.com

Redirected to: https://trendspider.com/.well-known/sgcaptcha/?r=%2Fmarkets%2Fsymbols%2FQBTS%2F&y=ipr:178.63.16.224:1761197553.610

Submitted: Oct 23, 2025, 5:32:10 AMCompleted: Oct 23, 2025, 5:33:17 AMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 2 domains to perform 7 HTTP transactions. The main domain is trendspider.com and was registered NaN years ago.

Submitted URL: https://trendspider.com/markets/symbols/QBTS/

Effective URL: https://trendspider.com/.well-known/sgcaptcha/?r=%2Fmarkets%2Fsymbols%2FQBTS%2F&y=ipr:178.63.16.224:1761197553.610Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site; captcha challenge only, no security concerns.

Safety Factors
Established domain with long registration history
Captcha verification to block bots
No credential or payment collection forms
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Robot Challenge Screen

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(79%)

Domain Information

The domain name 'trendspider.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'trendspider' covers 11 characters holding 3 vowels versus 8 consonants. It segments into 2 words: trend, spider. Expect 5.5 characters per word on average. 'trend' most often appears in English. Secondary signals appear in Malay and Chinese (Pinyin).

Screenshot

Security scan screenshot of https://trendspider.com/markets/symbols/QBTS/

Page Load Overview

32.37s
Total Load Time
7
HTTP Requests
2
Domains
5 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en
Text Length:428 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
technology software
71%
news media journalism
62%
adult content
52%
education learning
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7108.138.2.209United States
AS16509AMAZON-02
035.208.227.99Council Bluffs, Iowa, United States
AS15169GOOGLE
02600:9000:2490:5000:5:acf3:db40:21United States
AS16509AMAZON-02
0108.138.2.142United States
AS16509AMAZON-02
02600:9000:2490:e800:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:d400:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:a800:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:7800:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:400:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:c600:5:acf3:db40:21United States
AS16509AMAZON-02
713--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8E2742D75E72037942BB07F7F9F6100A1B941072C0AC9A9BC6E1B959F615240276FFB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YT6SDR/pDmbmQguwKuiNxRNpHxz0x4lxHxppDdoxyxDxv7ijXGH6lcybVEA+EDOw:YJDR/pD2rwKbf7uXGH6nXAP+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33200:cStIlJwRgIAgDUAgNSo2MFEggpIGAVABUTtQIyJqpoGAxBqE4ycEtoBEkBZQCKAiKgImUAnm2MHnwKA5IxABwR7ACkJQLGDi

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data