What is the official website of Banco Azteca ?

The official website of Banco Azteca is https://www.bancoazteca.com.mx/.

What is Banco Azteca's cybersecurity risk score?

Banco Azteca has an AI-generated cybersecurity risk score of 781 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Banco Azteca experienced?

According to Rankiteo, Banco Azteca currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Banco Azteca been affected by any supply chain cyber incidents ?

According to Rankiteo, Banco Azteca has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Banco Azteca have SOC 2 Type 1 certification ?

According to Rankiteo, Banco Azteca is not certified under SOC 2 Type 1.

Does Banco Azteca have SOC 2 Type 2 certification ?

According to Rankiteo, Banco Azteca does not hold a SOC 2 Type 2 certification.

Does Banco Azteca comply with GDPR ?

According to Rankiteo, Banco Azteca is not listed as GDPR compliant.

Does Banco Azteca have PCI DSS certification ?

According to Rankiteo, Banco Azteca does not currently maintain PCI DSS compliance.

Does Banco Azteca comply with HIPAA ?

According to Rankiteo, Banco Azteca is not compliant with HIPAA regulations.

Does Banco Azteca have ISO 27001 certification ?

According to Rankiteo,Banco Azteca is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Banco Azteca operate in ?

Banco Azteca operates primarily in the Banking industry.

How many employees does Banco Azteca have ?

Banco Azteca employs approximately 22,472 people worldwide.

Does Banco Azteca own any subsidiaries ?

Banco Azteca presently has no subsidiaries across any sectors.

How many LinkedIn followers does Banco Azteca have ?

Banco Azteca's official LinkedIn profile has approximately 146,216 followers.

What is the NAICS classification code for Banco Azteca ?

Banco Azteca is classified under the NAICS code 52211, which corresponds to Commercial Banking.

Does Banco Azteca have a Crunchbase profile ?

No, Banco Azteca does not have a profile on Crunchbase.

Does Banco Azteca have a LinkedIn profile ?

Yes, Banco Azteca maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/banco-azteca.

How many cybersecurity incidents has Banco Azteca experienced ?

As of July 22, 2026, Rankiteo reports that Banco Azteca has not experienced any cybersecurity incidents.

How many peer or competitor companies does Banco Azteca have ?

Banco Azteca has an estimated 7,424 peer or competitor companies worldwide.

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Banco Azteca

Boost Score +25 with badge (5 left)

781

/1000

Fair

806

/1000

Good

Banco Azteca Vendor Cyber Rating & Cyber Score

bancoazteca.com.mx

Add Your Compliance Badge

Banco Azteca es un banco mexicano fundado en el año 2002 y es una compañía de Grupo Salinas del empresario Mexicano Ricardo Salinas Pliego. Cuenta con 1,500 sucursales en México, Panamá, Argentina, Honduras, El Salvador, Brasil y Perú; es uno de los dos bancos más grandes en México en términos de cobertura. Además de otorgar créditos al consumo de bienes (Credimax), Banco Azteca ofrece tarjetas de crédito (Tarjeta Azteca), préstamos personales, así como financiamiento para automóviles, hipotecas y otros. Adicionalmente, Banco Azteca ofrece servicios de pago de nómina, es agente del programa de financiamiento agrícola del gobierno, Procampo. Cuenta con una avanzada página de internet que permite la consulta de saldo, estado de cuenta,

Banco Azteca A.I CyberSecurity Scoring

Scoring History

Banco Azteca

Banco Azteca CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

Banco Azteca Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for Banco Azteca

Incidents vs Banking Industry Avg (This Year)

No incidents recorded for Banco Azteca in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Banco Azteca in 2026.

Incident Types Banco Azteca vs Banking Industry Avg (This Year)

No incidents recorded for Banco Azteca in 2026.

Incident History - Banco Azteca (X = Date, Y = Severity)

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SUBSIDIARY

Banco Azteca Subsidiaries

Banco Azteca

Banking

Website: https://www.bancoazteca.com.mx/

Company Size: 10,001+ employees

Grupo SalinasFinancial Services

TV AztecaBroadcast Media Production and Distribution

adn40MxOnline Audio and Video Media

Tiendas NetoRetail

Grupo UPAXBusiness Consulting and Services

ITALIKAMotor Vehicle Manufacturing

baz súperappInternet Publishing

Total Cyber-SecIT Services and IT Consulting

MexaCreativaMxAdvertising Services

Ágiles AztecaSoftware Development

Dialogus ConsultoresBusiness Consulting and Services

ElektraRetail

Punto Casa de BolsaFinancial Services

Promo EspacioAdvertising Services

Grupo DragónElectric Power Generation

Centro Ricardo B. Salinas PliegoNon-profit Organizations

KybernusCivic and Social Organizations

Fundación Azteca de Grupo SalinasNon-profit Organizations

AlgorithiaInformation Services

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NEWS

Banco Azteca CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

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CVE

Latest

Global CVEs (Not Company-Specific)

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

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-72/388575

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

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-71/388574

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

REFERENCES

https://discuss.elastic.co/t/kibana-9-4-4-security-update-esa-2026-70/388573

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

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-69/388572

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

REFERENCES

https://discuss.elastic.co/t/elasticsearch-8-19-19-9-3-8-9-4-4-security-update-esa-2026-68/388571

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