CVE-2025-42929 is a high-severity vulnerability affecting the SAP Landscape Transformation Replication Server, specifically impacting certain versions of the DMIS 2011_1 series and the 2020 release. The root cause of this vulnerability is improper validation of the specified type of input (CWE-1287) within ABAP reports. An attacker who already possesses high privilege access to execute ABAP reports can exploit this flaw to delete the contents of arbitrary database tables. This is possible if the targeted tables lack protection via an authorization group, which is a security mechanism in SAP to restrict access to sensitive tables. The vulnerability does not require user interaction but does require the attacker to have high privileges, indicating that the threat is internal or from a compromised privileged account. The impact of this vulnerability is significant, as it compromises the integrity and availability of critical database tables, potentially leading to data loss and disruption of business processes that rely on the SAP Landscape Transformation Replication Server. The CVSS v3.1 score of 8.1 reflects a high severity, with attack vector being adjacent network (AV:A), low attack complexity (AC:L), high privileges required (PR:H), no user interaction (UI:N), and scope changed (S:C), indicating that the vulnerability affects resources beyond the initially vulnerable component. No known exploits are currently reported in the wild, and no patches are linked yet, which suggests that organizations should prioritize monitoring and mitigation efforts. This vulnerability is particularly critical because SAP Landscape Transformation Replication Server is often used for data replication and integration in enterprise environments, meaning that exploitation could disrupt data synchronization and cause cascading failures across dependent systems.

For European organizations, the impact of CVE-2025-42929 can be severe due to the widespread use of SAP systems in critical industries such as manufacturing, finance, energy, and public sector services. The ability to delete arbitrary database table content threatens data integrity and availability, which can halt business operations, cause financial losses, and damage reputations. In sectors with strict regulatory requirements like GDPR, loss or corruption of data can lead to compliance violations and heavy fines. Additionally, disruption in replication services can affect data consistency across distributed environments, impacting decision-making and operational continuity. Since the vulnerability requires high privilege access, the risk is elevated in environments where internal threat actors or compromised privileged accounts exist. European organizations with complex SAP landscapes that rely on replication for real-time data processing are particularly vulnerable to operational disruptions and potential cascading failures. The lack of available patches at the time of disclosure increases the urgency for interim controls to prevent exploitation.

1. Immediately audit and restrict high privilege access to ABAP report execution, ensuring that only trusted and necessary personnel have such privileges. 2. Implement strict authorization group protections on all critical database tables to prevent unauthorized deletion, verifying that no sensitive tables are left unprotected. 3. Monitor SAP system logs and ABAP report executions for unusual or unauthorized activities, focusing on attempts to delete or modify database tables. 4. Apply SAP’s security notes and patches as soon as they become available for the affected versions of the Landscape Transformation Replication Server. 5. Employ network segmentation and access controls to limit the ability of attackers to reach the SAP replication server from adjacent networks. 6. Conduct regular security reviews and penetration testing focused on SAP systems to identify privilege escalations and input validation weaknesses. 7. Prepare and test incident response plans specifically for SAP data integrity and availability incidents to minimize downtime and data loss in case of exploitation.