Security Scan Report: trendlyne.com

Redirected to: https://us.trendlyne.com/us/equity/1553958/META/meta-platforms-inc-ordinary-shares-class-a/

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Submitted: Oct 6, 2025, 5:36:02 PMCompleted: Oct 6, 2025, 5:37:14 PMpubliccompleted
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Summary

This website contacted 57 IPs in 2 countries across 13 domains to perform 81 HTTP transactions. The main domain is us.trendlyne.com and was registered NaN years ago.

Submitted URL: https://trendlyne.com/us/equity/1553958/META/meta-platforms-inc-ordinary-shares-class-a/

Effective URL: https://us.trendlyne.com/us/equity/1553958/META/meta-platforms-inc-ordinary-shares-class-a/Redirected

The Cisco Umbrella rank of the primary domain is #504,549 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site is a legitimate financial information portal with low risk despite a low ranking and brand name usage.

Risk Factors
Cisco Umbrella ranking is low (504,549) while the page mentions a well‑known brand (Meta)
Brand name appears prominently, which can be a moderate sign of typoesquatting
Safety Factors
Long‑standing domain registration (over 10 years)
No suspicious redirects or hidden fields
Only a search field present; login link leads to a standard site login page
Domain age information unavailable

Details

Page Title

Meta Platforms Inc - Ordinary Shares - Class A (META) Live Stock Price Today on NYSE/NASDAQ, Stock Analysis and Price Estimates

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(48%)

Domain Information

Within the commercial generic top-level domain (.com), 'trendlyne.com' is registered with no subdomain. The second-level label 'trendlyne' is 9 characters long holding two vowels versus seven consonants. Tokenizing the label suggests 2 words: trend, lyne. Average segment length settles at 4.5 characters. The linguistic tilt is Danish for 'trend'. You will also see it in German and French contexts. Overall, 'trendlyne.com' reads as Danish.

Screenshot

Security scan screenshot of https://trendlyne.com/us/equity/1553958/META/meta-platforms-inc-ordinary-shares-class-a/

Page Load Overview

14.99s
Total Load Time
81
HTTP Requests
13
Domains
2.0 MB
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:15,178 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software48% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
48%
corporate
25%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25142.250.185.136United States
AS15169GOOGLE
1142.250.185.227United States
AS15169GOOGLE
1108.177.15.154United States
AS15169GOOGLE
1104.20.37.170United States
AS13335CLOUDFLARENET
1216.239.32.36United States
AS15169GOOGLE
174.125.206.84United States
AS15169GOOGLE
1142.250.186.138United States
AS15169GOOGLE
1104.18.1.22United States
AS13335CLOUDFLARENET
1104.17.25.14United States
AS13335CLOUDFLARENET
118.244.18.100United States
AS16509AMAZON-02
8157--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122B49560F470183B810F77C9F2567BD921D763ABCAC103C4B2EDA6759B86C95AB1FA04

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xMUrLFNd2DXTTT6+EBTuE25jHIEy+fAArvNuqtQq3:xHLGTWlAzdAUvNuq3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500032:soIAQhREJ+VSAGKALmKpC0CBQAYgDegCiDIQBKjMgGNBQALQBAABAL0O0goIgbpIPAAECqsQEmRWASQICF7Ir4HEAlHEQleA

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:00ffffffffffff00
Perceptual Hash:ac9525b527b52535
Difference Hash:b66191d1a9abaa43
Wavelet Hash:00185f79ff51ff00
Color Hash:#7f2dd2

Scan History

Scan history not available

Unable to load historical scan data