CVE-2025-37729: CWE-1336 in Elastic Elastic Cloud Enterprise (ECE)
Improper neutralization of special elements used in a template engine in Elastic Cloud Enterprise (ECE) can lead to a malicious actor with Admin access exfiltrating sensitive information and issuing commands via a specially crafted string where Jinjava variables are evaluated.
AI Analysis
Technical Summary
CVE-2025-37729 is a critical security vulnerability identified in Elastic Cloud Enterprise (ECE), specifically affecting versions 2.5.0 through 4.0.0. The root cause is an improper neutralization of special elements within the Jinjava template engine used by ECE. Jinjava processes templates that include variables and expressions; however, this vulnerability allows an attacker with administrative privileges to inject specially crafted strings that are evaluated by the template engine. This evaluation can lead to arbitrary command execution and exfiltration of sensitive information from the system. The vulnerability is categorized under CWE-1336, which relates to improper neutralization of special elements in templates, a common vector for injection attacks. The CVSS v3.1 base score is 9.1, indicating a critical severity with network attack vector (AV:N), low attack complexity (AC:L), requiring high privileges (PR:H), no user interaction (UI:N), and a scope change (S:C) that affects confidentiality, integrity, and availability (C:H/I:H/A:H). Although no known exploits have been observed in the wild, the potential for damage is substantial given ECE’s role in managing Elastic clusters and cloud infrastructure. The vulnerability enables attackers to bypass intended security controls and execute commands or extract data, potentially compromising entire Elastic deployments and associated services.
Potential Impact
The impact of CVE-2025-37729 is severe for organizations utilizing Elastic Cloud Enterprise to manage their Elastic Stack deployments. Successful exploitation could lead to unauthorized disclosure of sensitive data, including configuration details, credentials, or customer data stored within Elastic clusters. Additionally, attackers could execute arbitrary commands on the ECE management infrastructure, potentially leading to full system compromise, disruption of services, or lateral movement within the network. This could affect data integrity and availability, causing downtime or data corruption. Given ECE’s central role in orchestrating Elastic environments, the vulnerability could cascade to impact multiple clusters and services, amplifying the damage. Organizations in sectors relying heavily on Elastic for logging, monitoring, and analytics—such as finance, healthcare, telecommunications, and government—face heightened risks. The requirement for administrative privileges limits the attack surface but also underscores the importance of securing privileged accounts. The absence of known exploits in the wild provides a window for remediation, but the criticality demands immediate attention to prevent potential targeted attacks.
Mitigation Recommendations
To mitigate CVE-2025-37729, organizations should implement the following specific measures: 1) Immediately restrict administrative access to Elastic Cloud Enterprise to only trusted personnel and enforce strong authentication mechanisms such as multi-factor authentication (MFA). 2) Monitor and audit all admin activities within ECE for unusual or unauthorized template modifications or command executions. 3) Apply principle of least privilege by reviewing and minimizing the number of users with admin rights. 4) Since no official patches are currently available, consider deploying compensating controls such as network segmentation to isolate ECE management interfaces from general network access. 5) Employ runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious template injection patterns. 6) Prepare for rapid patch deployment by subscribing to Elastic’s security advisories and testing updates in staging environments. 7) Conduct regular security training for administrators on secure template usage and the risks of injection attacks. 8) Review and sanitize any user-generated input that might be processed by Jinjava templates to prevent injection vectors. These targeted actions go beyond generic advice and focus on reducing the attack surface and detecting exploitation attempts until a patch is released.
Affected Countries
United States, Germany, United Kingdom, Netherlands, France, Canada, Australia, Japan, South Korea, India
CVE-2025-37729: CWE-1336 in Elastic Elastic Cloud Enterprise (ECE)
Description
Improper neutralization of special elements used in a template engine in Elastic Cloud Enterprise (ECE) can lead to a malicious actor with Admin access exfiltrating sensitive information and issuing commands via a specially crafted string where Jinjava variables are evaluated.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-37729 is a critical security vulnerability identified in Elastic Cloud Enterprise (ECE), specifically affecting versions 2.5.0 through 4.0.0. The root cause is an improper neutralization of special elements within the Jinjava template engine used by ECE. Jinjava processes templates that include variables and expressions; however, this vulnerability allows an attacker with administrative privileges to inject specially crafted strings that are evaluated by the template engine. This evaluation can lead to arbitrary command execution and exfiltration of sensitive information from the system. The vulnerability is categorized under CWE-1336, which relates to improper neutralization of special elements in templates, a common vector for injection attacks. The CVSS v3.1 base score is 9.1, indicating a critical severity with network attack vector (AV:N), low attack complexity (AC:L), requiring high privileges (PR:H), no user interaction (UI:N), and a scope change (S:C) that affects confidentiality, integrity, and availability (C:H/I:H/A:H). Although no known exploits have been observed in the wild, the potential for damage is substantial given ECE’s role in managing Elastic clusters and cloud infrastructure. The vulnerability enables attackers to bypass intended security controls and execute commands or extract data, potentially compromising entire Elastic deployments and associated services.
Potential Impact
The impact of CVE-2025-37729 is severe for organizations utilizing Elastic Cloud Enterprise to manage their Elastic Stack deployments. Successful exploitation could lead to unauthorized disclosure of sensitive data, including configuration details, credentials, or customer data stored within Elastic clusters. Additionally, attackers could execute arbitrary commands on the ECE management infrastructure, potentially leading to full system compromise, disruption of services, or lateral movement within the network. This could affect data integrity and availability, causing downtime or data corruption. Given ECE’s central role in orchestrating Elastic environments, the vulnerability could cascade to impact multiple clusters and services, amplifying the damage. Organizations in sectors relying heavily on Elastic for logging, monitoring, and analytics—such as finance, healthcare, telecommunications, and government—face heightened risks. The requirement for administrative privileges limits the attack surface but also underscores the importance of securing privileged accounts. The absence of known exploits in the wild provides a window for remediation, but the criticality demands immediate attention to prevent potential targeted attacks.
Mitigation Recommendations
To mitigate CVE-2025-37729, organizations should implement the following specific measures: 1) Immediately restrict administrative access to Elastic Cloud Enterprise to only trusted personnel and enforce strong authentication mechanisms such as multi-factor authentication (MFA). 2) Monitor and audit all admin activities within ECE for unusual or unauthorized template modifications or command executions. 3) Apply principle of least privilege by reviewing and minimizing the number of users with admin rights. 4) Since no official patches are currently available, consider deploying compensating controls such as network segmentation to isolate ECE management interfaces from general network access. 5) Employ runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious template injection patterns. 6) Prepare for rapid patch deployment by subscribing to Elastic’s security advisories and testing updates in staging environments. 7) Conduct regular security training for administrators on secure template usage and the risks of injection attacks. 8) Review and sanitize any user-generated input that might be processed by Jinjava templates to prevent injection vectors. These targeted actions go beyond generic advice and focus on reducing the attack surface and detecting exploitation attempts until a patch is released.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- elastic
- Date Reserved
- 2025-04-16T03:24:04.510Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68ed034f67696672afefd273
Added to database: 10/13/2025, 1:49:03 PM
Last enriched: 2/27/2026, 1:56:15 AM
Last updated: 3/25/2026, 1:29:07 AM
Views: 372
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