What is the official website of Pick n Pay ?

The official website of Pick n Pay is http://www.picknpay.co.za.

What is Pick n Pay's cybersecurity risk score?

Pick n Pay has an AI-generated cybersecurity risk score of 736 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Pick n Pay experienced?

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

Has Pick n Pay been affected by any supply chain cyber incidents ?

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

Does Pick n Pay have SOC 2 Type 1 certification ?

According to Rankiteo, Pick n Pay is not certified under SOC 2 Type 1.

Does Pick n Pay have SOC 2 Type 2 certification ?

According to Rankiteo, Pick n Pay does not hold a SOC 2 Type 2 certification.

Does Pick n Pay comply with GDPR ?

According to Rankiteo, Pick n Pay is not listed as GDPR compliant.

Does Pick n Pay have PCI DSS certification ?

According to Rankiteo, Pick n Pay does not currently maintain PCI DSS compliance.

Does Pick n Pay comply with HIPAA ?

According to Rankiteo, Pick n Pay is not compliant with HIPAA regulations.

Does Pick n Pay have ISO 27001 certification ?

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

Which industry does Pick n Pay operate in ?

Pick n Pay operates primarily in the Retail industry.

How many employees does Pick n Pay have ?

Pick n Pay employs approximately 34,608 people worldwide.

Does Pick n Pay own any subsidiaries ?

Pick n Pay presently has no subsidiaries across any sectors.

How many LinkedIn followers does Pick n Pay have ?

Pick n Pay's official LinkedIn profile has approximately 524,975 followers.

What is the NAICS classification code for Pick n Pay ?

Pick n Pay is classified under the NAICS code 43, which corresponds to Retail Trade.

Does Pick n Pay have a Crunchbase profile ?

No, Pick n Pay does not have a profile on Crunchbase.

Does Pick n Pay have a LinkedIn profile ?

Yes, Pick n Pay maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/pick-'n-pay.

How many cybersecurity incidents has Pick n Pay experienced ?

As of July 22, 2026, Rankiteo reports that Pick n Pay has experienced 1 cybersecurity incidents.

How many peer or competitor companies does Pick n Pay have ?

Pick n Pay has an estimated 15,921 peer or competitor companies worldwide.

What types of cybersecurity incidents has Pick n Pay faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach.

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PNP

Boost Score +25 with badge (5 left)

736

/1000

Moderate

761

/1000

Fair

Pick n Pay Vendor Cyber Rating & Cyber Score

picknpay.co.za

Add Your Compliance Badge

Welcome to Pick n Pay, where family values and customer-centricity converge to create an unparalleled shopping experience. Since 1967, when the visionary Raymond Ackerman championed the cause of consumers by acquiring the first few stores, the Ackerman family's dedication has steered our journey of growth and expansion. Today, Pick n Pay stands tall across South Africa, Botswana, Zambia, and Lesotho, embodying our commitment to serving communities far and wide. Additionally, we proudly hold a 49% share in TM Supermarkets, a Zimbabwean retail giant, further extending our reach and impact. Our core offering spans groceries, clothing, and general merchandise, tailored to meet the diverse needs of our customers. But our dedication doesn't

PNP A.I CyberSecurity Scoring

Scoring History

PNP

Pick n Pay CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

Pick n Pay

Breach

1/2022

PIC1780050597

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A.I.

PNP 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 PNP

Incidents vs Retail Industry Avg (This Year)

No incidents recorded for Pick n Pay in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Pick n Pay in 2026.

Incident Types PNP vs Retail Industry Avg (This Year)

No incidents recorded for Pick n Pay in 2026.

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

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SUBSIDIARY

Pick n Pay Subsidiaries

Parent Company

PNP

Retail

Website: http://www.picknpay.co.za

Company Size: 10,001+ employees

No subsidiary data available for this company.

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NEWS

Pick n Pay CyberSecurity News

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

February 10, 2026 08:00 AM

Massive loss incoming for Pick n Pay

Pick n Pay is expecting its headline loss to increase significantly amid lower turnover for the period and disappointing sales in November...

Read Article

January 27, 2026 08:00 AM

Blow for Pick n Pay, and Eskom’s message to South Africans using solar

Here are five important things happening in South Africa on Tuesday, 27 January 2026.

Read Article

January 25, 2026 08:00 AM

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October 27, 2025 07:00 AM

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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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