CVE-2025-11739: CWE-502 Deserialization of untrusted data in Schneider Electric EcoStruxure™ Power Monitoring Expert (PME)
CWE‑502: Deserialization of Untrusted Data vulnerability exists that could cause arbitrary code execution with administrative privileges when a locally authenticated attacker sends a crafted data stream, triggering unsafe deserialization.
AI Analysis
Technical Summary
CVE-2025-11739 is a deserialization vulnerability classified under CWE-502 found in Schneider Electric's EcoStruxure Power Monitoring Expert (PME) product. The flaw arises from unsafe deserialization of untrusted data streams, which allows a locally authenticated attacker to execute arbitrary code with administrative privileges. The vulnerability affects multiple recent versions of PME (2022, 2023, 2023 R2, 2024, 2024 R2). The attacker must have local access and send a specially crafted data stream to trigger the unsafe deserialization process. This vulnerability does not require user interaction and does not involve network-level exploitation without authentication. The CVSS 4.0 vector indicates low attack complexity and privileges required, but no user interaction is needed, and the impact on confidentiality, integrity, and availability is high. PME is a critical industrial control system used for power monitoring and management, making this vulnerability particularly dangerous as it could lead to full system compromise, manipulation of power data, or disruption of power monitoring operations. No patches are currently linked, and no known exploits have been reported in the wild as of the publication date. The vulnerability was reserved in October 2025 and published in March 2026, indicating recent discovery and disclosure.
Potential Impact
The impact of CVE-2025-11739 is significant for organizations relying on Schneider Electric's PME for power monitoring and management. Successful exploitation can result in arbitrary code execution with administrative privileges, allowing attackers to manipulate power data, disrupt monitoring functions, or cause denial of service. This can lead to operational downtime, inaccurate power usage reporting, and potentially cascading effects on critical infrastructure relying on accurate power monitoring. The compromise of PME systems could also facilitate lateral movement within industrial networks, increasing the risk of broader industrial control system (ICS) attacks. Confidentiality of sensitive operational data can be breached, integrity of monitoring data can be compromised, and availability of PME services can be disrupted. Given the critical nature of power infrastructure, the vulnerability poses a high risk to utilities, manufacturing plants, and other sectors dependent on reliable power monitoring.
Mitigation Recommendations
1. Restrict local access to PME systems strictly to trusted administrators and personnel to reduce the risk of exploitation. 2. Monitor and audit local access logs for unusual or unauthorized activity indicative of attempted exploitation. 3. Implement network segmentation to isolate PME systems from less secure network zones, limiting exposure. 4. Apply principle of least privilege to all user accounts with access to PME, minimizing privileges where possible. 5. Deploy application whitelisting and endpoint protection solutions on PME hosts to detect and block suspicious code execution. 6. Once available, promptly apply official patches or updates from Schneider Electric addressing this vulnerability. 7. Conduct regular security assessments and penetration testing focusing on deserialization and input validation weaknesses. 8. Educate administrators about the risks of deserialization vulnerabilities and safe handling of data streams within PME. 9. Consider implementing additional runtime protections such as sandboxing or code integrity checks to mitigate exploitation impact.
Affected Countries
United States, Germany, France, United Kingdom, China, India, Japan, South Korea, Brazil, Canada, Australia, Italy, Spain, Netherlands
CVE-2025-11739: CWE-502 Deserialization of untrusted data in Schneider Electric EcoStruxure™ Power Monitoring Expert (PME)
Description
CWE‑502: Deserialization of Untrusted Data vulnerability exists that could cause arbitrary code execution with administrative privileges when a locally authenticated attacker sends a crafted data stream, triggering unsafe deserialization.
AI-Powered Analysis
Technical Analysis
CVE-2025-11739 is a deserialization vulnerability classified under CWE-502 found in Schneider Electric's EcoStruxure Power Monitoring Expert (PME) product. The flaw arises from unsafe deserialization of untrusted data streams, which allows a locally authenticated attacker to execute arbitrary code with administrative privileges. The vulnerability affects multiple recent versions of PME (2022, 2023, 2023 R2, 2024, 2024 R2). The attacker must have local access and send a specially crafted data stream to trigger the unsafe deserialization process. This vulnerability does not require user interaction and does not involve network-level exploitation without authentication. The CVSS 4.0 vector indicates low attack complexity and privileges required, but no user interaction is needed, and the impact on confidentiality, integrity, and availability is high. PME is a critical industrial control system used for power monitoring and management, making this vulnerability particularly dangerous as it could lead to full system compromise, manipulation of power data, or disruption of power monitoring operations. No patches are currently linked, and no known exploits have been reported in the wild as of the publication date. The vulnerability was reserved in October 2025 and published in March 2026, indicating recent discovery and disclosure.
Potential Impact
The impact of CVE-2025-11739 is significant for organizations relying on Schneider Electric's PME for power monitoring and management. Successful exploitation can result in arbitrary code execution with administrative privileges, allowing attackers to manipulate power data, disrupt monitoring functions, or cause denial of service. This can lead to operational downtime, inaccurate power usage reporting, and potentially cascading effects on critical infrastructure relying on accurate power monitoring. The compromise of PME systems could also facilitate lateral movement within industrial networks, increasing the risk of broader industrial control system (ICS) attacks. Confidentiality of sensitive operational data can be breached, integrity of monitoring data can be compromised, and availability of PME services can be disrupted. Given the critical nature of power infrastructure, the vulnerability poses a high risk to utilities, manufacturing plants, and other sectors dependent on reliable power monitoring.
Mitigation Recommendations
1. Restrict local access to PME systems strictly to trusted administrators and personnel to reduce the risk of exploitation. 2. Monitor and audit local access logs for unusual or unauthorized activity indicative of attempted exploitation. 3. Implement network segmentation to isolate PME systems from less secure network zones, limiting exposure. 4. Apply principle of least privilege to all user accounts with access to PME, minimizing privileges where possible. 5. Deploy application whitelisting and endpoint protection solutions on PME hosts to detect and block suspicious code execution. 6. Once available, promptly apply official patches or updates from Schneider Electric addressing this vulnerability. 7. Conduct regular security assessments and penetration testing focusing on deserialization and input validation weaknesses. 8. Educate administrators about the risks of deserialization vulnerabilities and safe handling of data streams within PME. 9. Consider implementing additional runtime protections such as sandboxing or code integrity checks to mitigate exploitation impact.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- schneider
- Date Reserved
- 2025-10-14T13:43:50.195Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69b01357ea502d3aa8512703
Added to database: 3/10/2026, 12:49:27 PM
Last enriched: 3/10/2026, 1:03:38 PM
Last updated: 3/10/2026, 2:19:44 PM
Views: 3
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