Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download

Comparison Overview

TokenPocketTokenPocket
VS
LPL FinancialLPL Financial
TokenPocket

TokenPocket

Singapore, OO

Last Update: 29/03/2026

View Profile
Between 700 and 749
https://tokenpocket.pro
732/1000Moderate

World's Leading Crypto Wallet on BTC, ETH, BSC, Solana, TRON, Polkadot, Polygon, etc. #DeFi|#Crypto|#Bitcoin|#ETH

NAICS:52
NAICS Definition:Finance and Insurance
Employees:24
Subsidiaries:0
12-month incidents
1
Known data breaches
0
Attack type number
1
LPL Financial

LPL Financial

4707 Executive Drive, San Diego, CA, US, 92121-1968

Last Update: 02/06/2026

View Profile
Between 600 and 649
https://www.lpl.com/
622/1000Poor

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 29,000 financial advisors and the wealth management practices of approximately 1,100 ...

NAICS:52
NAICS Definition:Finance and Insurance
Employees:14,318
Subsidiaries:1
12-month incidents
1
Known data breaches
7
Attack type number
2

Compliance Ranges Comparison

Based On Specific Ai Models Category
TokenPocket

TokenPocket

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
LPL Financial

LPL Financial

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Financial Services Industry Avg (This Year)

TokenPocket has 42.86% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents

Incidents vs Financial Services Industry Avg (This Year)

LPL Financial has 3.85% fewer incidents than the average of all companies with at least one recorded incident.

Incidents

Incident History - TokenPocket (X = Date, Y = Severity)

TokenPocket cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - LPL Financial (X = Date, Y = Severity)

LPL Financial cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
TokenPocket

TokenPocket

Incidents
🔒 Incident : Cyber Attack
METIMTCOITOK1772124856
LPL Financial

LPL Financial

Incidents
🔒 Incident : Breach
ASHLPL1768395244
🔒 Incident : Breach
LPLMAR1780432565
🔒 Incident : Cyber Attack
AMEHIGLPLEDE1777062318

FAQ

Between TokenPocket company and LPL Financial company, which one has the best AI Cybersecurity Score ?
Between TokenPocket company and LPL Financial company, which one has experienced more cyber incidents in the past ?
Between TokenPocket company and LPL Financial company, which one has experienced more cyber incidents this year ?
Between TokenPocket company and LPL Financial company, which one has experienced at least one ransomware attack ?
Between TokenPocket company and LPL Financial company, which one has experienced at least one data breach ?
Between TokenPocket company and LPL Financial company, which one has experienced at least one targeted cyberattack ?
Between TokenPocket company and LPL Financial company, which one has experienced at least one vulnerability ?
Between TokenPocket company and LPL Financial company, which one holds the most compliance certifications ?
Between TokenPocket company and LPL Financial company, which one holds the fewest compliance certifications ?
Between TokenPocket company and LPL Financial company, which one has the most subsidiaries ?
Between TokenPocket company and LPL Financial company, which one has the largest number of employees ?
Between TokenPocket and LPL Financial, which company holds both SOC 2 Type 1 certifications ?
Between TokenPocket and LPL Financial, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - TokenPocket or LPL Financial ?
Which company is PCI DSS compliant - TokenPocket or LPL Financial ?
Between TokenPocket and LPL Financial, which company complies with HIPAA regulations for healthcare data ?
Between TokenPocket and LPL Financial, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-63261
SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63260
SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8
CVE-2026-63259
SUMMARY

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63145
SUMMARY

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63144
SUMMARY

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 6.5)
CVSS3
Base Score: 6.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.8