ISO 27001 Certificate
SOC 1 Type I Certificate
SOC 2 Type II Certificate
PCI DSS
HIPAA
RGPD
Internal validation & live display
Multiple badges & continuous verification
Faster underwriting decisions
ISOSOC2 Type 1SOC2 Type 2PCI DSSHIPAAGDPR

🌍Alibaba Group is on a mission to make it easy to do business anywhere! Guided by our passion and imagination, we’re leading the way in AI, cloud computing and e-commerce. We aim to build the future infrastructure of commerce, and we aspire to be a good company that lasts for 102 years.

Alibaba Group A.I CyberSecurity Scoring

Alibaba Group

Company Details

Linkedin ID:

chinese-alibaba-group

Employees number:

83,762

Number of followers:

1,410,165

NAICS:

5112

Industry Type:

Software Development

Homepage:

alibabagroup.com

IP Addresses:

1048

Company ID:

ALI_3220220

Scan Status:

Completed

AI scoreAlibaba Group Risk Score (AI oriented)

Between 800 and 849

https://images.rankiteo.com/companyimages/chinese-alibaba-group.jpeg
Alibaba Group Software Development
Updated:
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globalscoreAlibaba Group Global Score (TPRM)

XXXX

https://images.rankiteo.com/companyimages/chinese-alibaba-group.jpeg
Alibaba Group Software Development
  • Instant access to detailed risk factors
  • Benchmark vs. industry & size peers
  • Vulnerabilities
  • Findings

Alibaba Group Company CyberSecurity News & History

Past Incidents
5
Attack Types
2
EntityTypeSeverityImpactSeenBlog DetailsIncident DetailsView
Alibaba.comBreach100509/2018
Rankiteo Explanation :
Attack threatening the organization's existence

Description: Chinese police arrested 21 suspects for theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data was compromised. Compromised information includes user names, phone numbers and parcel tracking numbers. Barcode scanners used in its distribution stations had been infected with malware. Police investigation determined that none of the illegally obtained data had been shared with any third parties.

Alibaba GroupData Leak60301/2020
Rankiteo Explanation :
Attack with significant impact with internal employee data leaks

Description: An Alibaba-owned project called City Brain has advanced video and processing ability for facial detection, real-time information statistics and feeds, crime and traffic offenders, and much more. City Brain exposed its own data via elastic search engine instances that were left open without any authentication It left all the data from its processing open for anybody to view. It involved 56GB of data across 22 indices that appeared to be a mix of test and production naming. Within the indices were links to a cloud system for City Brain vendors. Links and indices revealed that the data belongs to which city. Luzhou and Hangzhou are both well-known cities involved with the City Brain program.

Alibaba GroupData Leak85309/2020
Rankiteo Explanation :
Attack with significant impact with internal employee data leaks

Description: Alibaba, a Chinese tech giant, was found to have servers that were used for data theft, with at least 72 servers sending data to China. Media have been informed by reputable intelligence sources that Chinese data cloud servers are transmitting user data from India to China and that equipment from Chinese technology giant Alibaba located in India may be implicated. According to reports, companies engaged in such operations have close ties to the Chinese government or the Chinese Communist Party. Intelligence agents have estimated that 72 servers are involved in the transfer of Indian user data to China and have alerted the media that a thorough investigation may soon begin to uncover Chinese cyber espionage intentions in the nation.

Alibaba GroupData Leak85409/2018
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: Chinese police arrested 21 suspects in connection with the theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data including user names, phone numbers and parcel tracking numbers were stolen from Cainiao. Barcode scanners used in its distribution stations had been infected with malware. The security breach had now been fixed. It had detected a suspicious malware infection in some of the parcel scanners used by its logistics partners. None of the illegally obtained data had been shared with any third parties.

RedMartData Leak85410/2023
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: A customer database containing the private information of 1.1 million RedMart user accounts was breached, and this information was then sold on an internet forum. The data leak was confirmed by a representative for e-commerce behemoth Lazada, which also owns e-grocer Redmart. It was discovered that the stolen personal data included names, phone numbers, e-mail addresses, mailing addresses, passwords that were encrypted, and a portion of credit card numbers. Customers were also cautioned by Lazada to watch out for phishing emails, in which con artists pose as Lazada representatives and request critical information.

Alibaba.com
Breach
Severity: 100
Impact: 5
Seen: 09/2018
Blog:
Rankiteo Explanation
Attack threatening the organization's existence

Description: Chinese police arrested 21 suspects for theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data was compromised. Compromised information includes user names, phone numbers and parcel tracking numbers. Barcode scanners used in its distribution stations had been infected with malware. Police investigation determined that none of the illegally obtained data had been shared with any third parties.

Alibaba Group
Data Leak
Severity: 60
Impact: 3
Seen: 01/2020
Blog:
Rankiteo Explanation
Attack with significant impact with internal employee data leaks

Description: An Alibaba-owned project called City Brain has advanced video and processing ability for facial detection, real-time information statistics and feeds, crime and traffic offenders, and much more. City Brain exposed its own data via elastic search engine instances that were left open without any authentication It left all the data from its processing open for anybody to view. It involved 56GB of data across 22 indices that appeared to be a mix of test and production naming. Within the indices were links to a cloud system for City Brain vendors. Links and indices revealed that the data belongs to which city. Luzhou and Hangzhou are both well-known cities involved with the City Brain program.

Alibaba Group
Data Leak
Severity: 85
Impact: 3
Seen: 09/2020
Blog:
Rankiteo Explanation
Attack with significant impact with internal employee data leaks

Description: Alibaba, a Chinese tech giant, was found to have servers that were used for data theft, with at least 72 servers sending data to China. Media have been informed by reputable intelligence sources that Chinese data cloud servers are transmitting user data from India to China and that equipment from Chinese technology giant Alibaba located in India may be implicated. According to reports, companies engaged in such operations have close ties to the Chinese government or the Chinese Communist Party. Intelligence agents have estimated that 72 servers are involved in the transfer of Indian user data to China and have alerted the media that a thorough investigation may soon begin to uncover Chinese cyber espionage intentions in the nation.

Alibaba Group
Data Leak
Severity: 85
Impact: 4
Seen: 09/2018
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: Chinese police arrested 21 suspects in connection with the theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data including user names, phone numbers and parcel tracking numbers were stolen from Cainiao. Barcode scanners used in its distribution stations had been infected with malware. The security breach had now been fixed. It had detected a suspicious malware infection in some of the parcel scanners used by its logistics partners. None of the illegally obtained data had been shared with any third parties.

RedMart
Data Leak
Severity: 85
Impact: 4
Seen: 10/2023
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: A customer database containing the private information of 1.1 million RedMart user accounts was breached, and this information was then sold on an internet forum. The data leak was confirmed by a representative for e-commerce behemoth Lazada, which also owns e-grocer Redmart. It was discovered that the stolen personal data included names, phone numbers, e-mail addresses, mailing addresses, passwords that were encrypted, and a portion of credit card numbers. Customers were also cautioned by Lazada to watch out for phishing emails, in which con artists pose as Lazada representatives and request critical information.

Ailogo

Alibaba Group Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

🔒
Incident Predictions locked
Access Monitoring Plan

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

🔒
A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for Alibaba Group

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for Alibaba Group in 2025.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Alibaba Group in 2025.

Incident Types Alibaba Group vs Software Development Industry Avg (This Year)

No incidents recorded for Alibaba Group in 2025.

Incident History — Alibaba Group (X = Date, Y = Severity)

Alibaba Group cyber incidents detection timeline including parent company and subsidiaries

Alibaba Group Company Subsidiaries

SubsidiaryImage

🌍Alibaba Group is on a mission to make it easy to do business anywhere! Guided by our passion and imagination, we’re leading the way in AI, cloud computing and e-commerce. We aim to build the future infrastructure of commerce, and we aspire to be a good company that lasts for 102 years.

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faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

Alibaba Group CyberSecurity History Information

Official Website of Alibaba Group

The official website of Alibaba Group is http://www.alibabagroup.com.

Alibaba Group’s AI-Generated Cybersecurity Score

According to Rankiteo, Alibaba Group’s AI-generated cybersecurity score is 811, reflecting their Good security posture.

How many security badges does Alibaba Group’ have ?

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

Does Alibaba Group have SOC 2 Type 1 certification ?

According to Rankiteo, Alibaba Group is not certified under SOC 2 Type 1.

Does Alibaba Group have SOC 2 Type 2 certification ?

According to Rankiteo, Alibaba Group does not hold a SOC 2 Type 2 certification.

Does Alibaba Group comply with GDPR ?

According to Rankiteo, Alibaba Group is not listed as GDPR compliant.

Does Alibaba Group have PCI DSS certification ?

According to Rankiteo, Alibaba Group does not currently maintain PCI DSS compliance.

Does Alibaba Group comply with HIPAA ?

According to Rankiteo, Alibaba Group is not compliant with HIPAA regulations.

Does Alibaba Group have ISO 27001 certification ?

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

Industry Classification of Alibaba Group

Alibaba Group operates primarily in the Software Development industry.

Number of Employees at Alibaba Group

Alibaba Group employs approximately 83,762 people worldwide.

Subsidiaries Owned by Alibaba Group

Alibaba Group presently has no subsidiaries across any sectors.

Alibaba Group’s LinkedIn Followers

Alibaba Group’s official LinkedIn profile has approximately 1,410,165 followers.

NAICS Classification of Alibaba Group

Alibaba Group is classified under the NAICS code 5112, which corresponds to Software Publishers.

Alibaba Group’s Presence on Crunchbase

No, Alibaba Group does not have a profile on Crunchbase.

Alibaba Group’s Presence on LinkedIn

Yes, Alibaba Group maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/chinese-alibaba-group.

Cybersecurity Incidents Involving Alibaba Group

As of November 27, 2025, Rankiteo reports that Alibaba Group has experienced 5 cybersecurity incidents.

Number of Peer and Competitor Companies

Alibaba Group has an estimated 26,594 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at Alibaba Group ?

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

How does Alibaba Group detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with fixed the security breach, and communication strategy with customers were cautioned by lazada to watch out for phishing emails...

Incident Details

Can you provide details on each incident ?

Incident : Data Breach

Title: Data Breach at Alibaba's Cainiao Network

Description: Chinese police arrested 21 suspects for theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data was compromised, including user names, phone numbers, and parcel tracking numbers. Barcode scanners used in its distribution stations had been infected with malware. Police investigation determined that none of the illegally obtained data had been shared with any third parties.

Type: Data Breach

Attack Vector: Malware

Vulnerability Exploited: Infected Barcode Scanners

Threat Actor: 21 suspects arrested by Chinese police

Motivation: Theft of Customer Information

Incident : Data Breach

Title: Data Breach at Cainiao Network

Description: Chinese police arrested 21 suspects in connection with the theft of customer information from Alibaba Group Holding’s logistics affiliate Cainiao Network. More than 10 million pieces of client data including user names, phone numbers, and parcel tracking numbers were stolen from Cainiao. Barcode scanners used in its distribution stations had been infected with malware. The security breach has now been fixed.

Type: Data Breach

Attack Vector: Malware

Motivation: Data Theft

Incident : Data Exposure

Title: City Brain Data Exposure

Description: An Alibaba-owned project called City Brain exposed its data via elastic search engine instances that were left open without any authentication. It left all the data from its processing open for anybody to view. It involved 56GB of data across 22 indices that appeared to be a mix of test and production naming. Within the indices were links to a cloud system for City Brain vendors. Links and indices revealed that the data belongs to which city. Luzhou and Hangzhou are both well-known cities involved with the City Brain program.

Type: Data Exposure

Attack Vector: Unauthenticated Elastic Search Engine Instances

Vulnerability Exploited: Open Elastic Search Instances

Incident : Data Breach

Title: RedMart Data Breach

Description: A customer database containing the private information of 1.1 million RedMart user accounts was breached, and this information was then sold on an internet forum.

Type: Data Breach

Incident : Data Theft

Title: Alibaba Servers Used for Data Theft in India

Description: Alibaba, a Chinese tech giant, was found to have servers that were used for data theft, with at least 72 servers sending data to China.

Type: Data Theft

Attack Vector: Server-based data exfiltration

Threat Actor: Chinese government or Chinese Communist Party-linked entities

Motivation: Cyber espionage

What are the most common types of attacks the company has faced ?

Common Attack Types: The most common types of attacks the company has faced is Data Leak.

How does the company identify the attack vectors used in incidents ?

Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Barcode scanners.

Impact of the Incidents

What was the impact of each incident ?

Incident : Data Breach ALI212330922

Data Compromised: User names, Phone numbers, Parcel tracking numbers

Systems Affected: Barcode scanners

Incident : Data Breach ALI138311022

Data Compromised: User names, phone numbers, parcel tracking numbers

Systems Affected: Barcode scanners

Incident : Data Exposure ALI150121222

Data Compromised: 56GB of data across 22 indices

Incident : Data Breach RED4498523

Data Compromised: Names, Phone numbers, E-mail addresses, Mailing addresses, Encrypted passwords, A portion of credit card numbers

Incident : Data Theft ALI11519623

Data Compromised: User data from India

What types of data are most commonly compromised in incidents ?

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are User Names, Phone Numbers, Parcel Tracking Numbers, , User Names, Phone Numbers, Parcel Tracking Numbers, , Personal Information, Payment Information, and User data.

Which entities were affected by each incident ?

Incident : Data Breach ALI212330922

Entity Name: Cainiao Network

Entity Type: Logistics Company

Industry: Logistics

Location: China

Customers Affected: More than 10 million

Incident : Data Breach ALI138311022

Entity Name: Cainiao Network

Entity Type: Corporate

Industry: Logistics

Location: China

Customers Affected: More than 10 million

Incident : Data Exposure ALI150121222

Entity Name: Alibaba

Entity Type: Company

Industry: Technology

Incident : Data Breach RED4498523

Entity Name: RedMart

Entity Type: E-commerce

Industry: E-grocer

Customers Affected: 1100000

Incident : Data Theft ALI11519623

Entity Name: Alibaba

Entity Type: Tech Company

Industry: Technology

Location: IndiaChina

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Data Breach ALI212330922

Incident : Data Breach ALI138311022

Remediation Measures: Fixed the security breach

Incident : Data Breach RED4498523

Communication Strategy: Customers were cautioned by Lazada to watch out for phishing emails.

Data Breach Information

What type of data was compromised in each breach ?

Incident : Data Breach ALI212330922

Type of Data Compromised: User names, Phone numbers, Parcel tracking numbers

Number of Records Exposed: More than 10 million

Incident : Data Breach ALI138311022

Type of Data Compromised: User names, Phone numbers, Parcel tracking numbers

Number of Records Exposed: More than 10 million

Incident : Data Breach RED4498523

Type of Data Compromised: Personal information, Payment information

Number of Records Exposed: 1100000

Sensitivity of Data: High

Data Exfiltration: Yes

Data Encryption: Passwords were encrypted

Personally Identifiable Information: Yes

Incident : Data Theft ALI11519623

Type of Data Compromised: User data

Data Exfiltration: Yes

What measures does the company take to prevent data exfiltration ?

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Fixed the security breach.

References

Where can I find more information about each incident ?

Incident : Data Theft ALI11519623

Source: Media reports and intelligence sources

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Media reports and intelligence sources.

Investigation Status

What is the current status of the investigation for each incident ?

Incident : Data Breach ALI138311022

Investigation Status: Resolved

Incident : Data Theft ALI11519623

Investigation Status: Ongoing

How does the company communicate the status of incident investigations to stakeholders ?

Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Customers were cautioned by Lazada to watch out for phishing emails..

Stakeholder and Customer Advisories

Were there any advisories issued to stakeholders or customers for each incident ?

Incident : Data Breach RED4498523

Customer Advisories: Customers were cautioned by Lazada to watch out for phishing emails.

What advisories does the company provide to stakeholders and customers following an incident ?

Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: was Customers were cautioned by Lazada to watch out for phishing emails..

Initial Access Broker

How did the initial access broker gain entry for each incident ?

Incident : Data Breach ALI138311022

Entry Point: Barcode scanners

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Data Breach ALI212330922

Root Causes: Infected Barcode Scanners

Incident : Data Breach ALI138311022

Root Causes: Malware infection in barcode scanners

Corrective Actions: Fixed the security breach

What corrective actions has the company taken based on post-incident analysis ?

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Fixed the security breach.

Additional Questions

General Information

Who was the attacking group in the last incident ?

Last Attacking Group: The attacking group in the last incident were an 21 suspects arrested by Chinese police and Chinese government or Chinese Communist Party-linked entities.

Impact of the Incidents

What was the most significant data compromised in an incident ?

Most Significant Data Compromised: The most significant data compromised in an incident were User names, Phone numbers, Parcel tracking numbers, , User names, phone numbers, parcel tracking numbers, 56GB of data across 22 indices, names, phone numbers, e-mail addresses, mailing addresses, encrypted passwords, a portion of credit card numbers, and User data from India.

What was the most significant system affected in an incident ?

Most Significant System Affected: The most significant system affected in an incident was Barcode scanners and .

Data Breach Information

What was the most sensitive data compromised in a breach ?

Most Sensitive Data Compromised: The most sensitive data compromised in a breach were User names, phone numbers, parcel tracking numbers, encrypted passwords, a portion of credit card numbers, e-mail addresses, mailing addresses, Parcel tracking numbers, 56GB of data across 22 indices, names, phone numbers, User names, User data from India and Phone numbers.

What was the number of records exposed in the most significant breach ?

Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 20.0M.

References

What is the most recent source of information about an incident ?

Most Recent Source: The most recent source of information about an incident is Media reports and intelligence sources.

Investigation Status

What is the current status of the most recent investigation ?

Current Status of Most Recent Investigation: The current status of the most recent investigation is Resolved.

Stakeholder and Customer Advisories

What was the most recent customer advisory issued ?

Most Recent Customer Advisory: The most recent customer advisory issued was an Customers were cautioned by Lazada to watch out for phishing emails.

Initial Access Broker

What was the most recent entry point used by an initial access broker ?

Most Recent Entry Point: The most recent entry point used by an initial access broker was an Barcode scanners.

Post-Incident Analysis

What was the most significant root cause identified in post-incident analysis ?

Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Infected Barcode Scanners, Malware infection in barcode scanners.

What was the most significant corrective action taken based on post-incident analysis ?

Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Fixed the security breach.

cve

Latest Global CVEs (Not Company-Specific)

Description

Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.

Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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