CVE-2023-5869: Integer Overflow or Wraparound in Red Hat Red Hat Advanced Cluster Security 4.2
A flaw was found in PostgreSQL that allows authenticated database users to execute arbitrary code through missing overflow checks during SQL array value modification. This issue exists due to an integer overflow during array modification where a remote user can trigger the overflow by providing specially crafted data. This enables the execution of arbitrary code on the target system, allowing users to write arbitrary bytes to memory and extensively read the server's memory.
AI Analysis
Technical Summary
CVE-2023-5869 is a critical vulnerability identified in Red Hat Advanced Cluster Security 4.2, stemming from a flaw in PostgreSQL's handling of SQL array value modifications. The root cause is an integer overflow or wraparound during the modification of SQL array values, which occurs due to missing overflow checks. This vulnerability can be triggered by an authenticated database user supplying specially crafted data that causes the integer overflow. Exploitation of this flaw allows an attacker to execute arbitrary code on the affected system. Specifically, the attacker can write arbitrary bytes to memory and extensively read the server's memory, potentially leading to full compromise of the database server and underlying host. The vulnerability requires authentication but no user interaction, and it can be exploited remotely over the network. The CVSS v3.1 base score of 8.8 reflects the high impact on confidentiality, integrity, and availability, as the flaw enables arbitrary code execution and memory disclosure. Although no known exploits are currently reported in the wild, the severity and nature of the vulnerability make it a significant risk for organizations using Red Hat Advanced Cluster Security 4.2 with PostgreSQL components.
Potential Impact
For European organizations, this vulnerability poses a substantial risk, especially for those relying on Red Hat Advanced Cluster Security 4.2 to protect Kubernetes clusters and containerized environments. Successful exploitation could lead to unauthorized access to sensitive data, disruption of critical services, and potential lateral movement within networks. Given the widespread use of PostgreSQL and Red Hat security products in Europe, particularly in sectors such as finance, healthcare, government, and critical infrastructure, the impact could be severe. Data breaches resulting from this vulnerability could lead to regulatory penalties under GDPR, reputational damage, and operational downtime. Additionally, the ability to execute arbitrary code remotely elevates the threat to availability and integrity of systems, which could disrupt business continuity and compromise trust in managed cloud and container environments.
Mitigation Recommendations
Organizations should prioritize applying patches or updates from Red Hat addressing this vulnerability as soon as they become available. In the interim, restrict database user privileges to the minimum necessary to reduce the risk of exploitation by authenticated users. Implement network segmentation and firewall rules to limit access to PostgreSQL instances and Red Hat Advanced Cluster Security management interfaces to trusted hosts only. Monitor database logs and network traffic for unusual activity indicative of exploitation attempts, such as anomalous SQL array modifications or memory access patterns. Employ runtime application self-protection (RASP) or host-based intrusion detection systems (HIDS) to detect and block suspicious behaviors. Additionally, review and enforce strong authentication mechanisms and consider multi-factor authentication for database users to reduce the risk posed by compromised credentials. Regularly audit and update security policies related to container and cluster security to ensure comprehensive defense-in-depth.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium, Poland, Finland
CVE-2023-5869: Integer Overflow or Wraparound in Red Hat Red Hat Advanced Cluster Security 4.2
Description
A flaw was found in PostgreSQL that allows authenticated database users to execute arbitrary code through missing overflow checks during SQL array value modification. This issue exists due to an integer overflow during array modification where a remote user can trigger the overflow by providing specially crafted data. This enables the execution of arbitrary code on the target system, allowing users to write arbitrary bytes to memory and extensively read the server's memory.
AI-Powered Analysis
Technical Analysis
CVE-2023-5869 is a critical vulnerability identified in Red Hat Advanced Cluster Security 4.2, stemming from a flaw in PostgreSQL's handling of SQL array value modifications. The root cause is an integer overflow or wraparound during the modification of SQL array values, which occurs due to missing overflow checks. This vulnerability can be triggered by an authenticated database user supplying specially crafted data that causes the integer overflow. Exploitation of this flaw allows an attacker to execute arbitrary code on the affected system. Specifically, the attacker can write arbitrary bytes to memory and extensively read the server's memory, potentially leading to full compromise of the database server and underlying host. The vulnerability requires authentication but no user interaction, and it can be exploited remotely over the network. The CVSS v3.1 base score of 8.8 reflects the high impact on confidentiality, integrity, and availability, as the flaw enables arbitrary code execution and memory disclosure. Although no known exploits are currently reported in the wild, the severity and nature of the vulnerability make it a significant risk for organizations using Red Hat Advanced Cluster Security 4.2 with PostgreSQL components.
Potential Impact
For European organizations, this vulnerability poses a substantial risk, especially for those relying on Red Hat Advanced Cluster Security 4.2 to protect Kubernetes clusters and containerized environments. Successful exploitation could lead to unauthorized access to sensitive data, disruption of critical services, and potential lateral movement within networks. Given the widespread use of PostgreSQL and Red Hat security products in Europe, particularly in sectors such as finance, healthcare, government, and critical infrastructure, the impact could be severe. Data breaches resulting from this vulnerability could lead to regulatory penalties under GDPR, reputational damage, and operational downtime. Additionally, the ability to execute arbitrary code remotely elevates the threat to availability and integrity of systems, which could disrupt business continuity and compromise trust in managed cloud and container environments.
Mitigation Recommendations
Organizations should prioritize applying patches or updates from Red Hat addressing this vulnerability as soon as they become available. In the interim, restrict database user privileges to the minimum necessary to reduce the risk of exploitation by authenticated users. Implement network segmentation and firewall rules to limit access to PostgreSQL instances and Red Hat Advanced Cluster Security management interfaces to trusted hosts only. Monitor database logs and network traffic for unusual activity indicative of exploitation attempts, such as anomalous SQL array modifications or memory access patterns. Employ runtime application self-protection (RASP) or host-based intrusion detection systems (HIDS) to detect and block suspicious behaviors. Additionally, review and enforce strong authentication mechanisms and consider multi-factor authentication for database users to reduce the risk posed by compromised credentials. Regularly audit and update security policies related to container and cluster security to ensure comprehensive defense-in-depth.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- redhat
- Date Reserved
- 2023-10-31T03:56:42.638Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68e0f3bcb66c7f7acdd3cb3b
Added to database: 10/4/2025, 10:15:24 AM
Last enriched: 10/4/2025, 10:39:06 AM
Last updated: 10/16/2025, 2:54:52 PM
Views: 2
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