CVE-2025-59059
CVE-2025-59059
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
Remote Code Execution Vulnerability in NashornScriptEngineCreator is reported in Apache Ranger versions <= 2.7.0. Users are recommended to upgrade to version 2.8.0, which fixes this issue.
CVE-2025-59059: Professional Cybersecurity Analysis
Executive Summary
CVE-2025-59059 represents a critical Remote Code Execution (RCE) vulnerability in Apache Ranger's NashornScriptEngineCreator component affecting versions up to and including 2.7.0. With a CVSS score of 9.8, this vulnerability poses an immediate and severe threat to organizations utilizing Apache Ranger for security policy management in Hadoop ecosystems.
1. Vulnerability Assessment and Severity Evaluation
Severity Classification
- CVSS Score: 9.8 (CRITICAL)
- Attack Vector: Network-based
- Attack Complexity: Low (implied by high CVSS score)
- Privileges Required: None (likely)
- User Interaction: None (likely)
- Impact: Complete system compromise potential
Technical Assessment
The vulnerability resides in the NashornScriptEngineCreator component, which suggests exploitation of JavaScript engine functionality within Apache Ranger. Nashorn is Oracle's JavaScript engine for the JVM, deprecated since Java 11 but still present in legacy implementations.
Critical Risk Factors:
- Direct RCE capability allows arbitrary code execution
- Network-accessible attack surface
- No authentication likely required (based on CVSS 9.8)
- Affects core security infrastructure component
- Wide deployment in enterprise Hadoop environments
2. Potential Attack Vectors and Exploitation Methods
Primary Attack Vectors
A. Script Injection via Policy Definitions
- Attackers may inject malicious JavaScript code through policy creation/modification interfaces
- Unsanitized input processed by NashornScriptEngineCreator
- Execution occurs during policy evaluation or compilation
B. API Exploitation
- Direct exploitation through Apache Ranger REST APIs
- Crafted requests containing malicious script payloads
- Bypass of input validation mechanisms
C. Configuration File Manipulation
- If configuration files are processed through the script engine
- Exploitation via compromised administrative access or file upload vulnerabilities
Exploitation Methodology
Attack Chain:
1. Identify Apache Ranger instance (version enumeration)
2. Craft malicious JavaScript payload
3. Inject payload via vulnerable endpoint/interface
4. Trigger script evaluation through NashornScriptEngineCreator
5. Achieve arbitrary code execution with Ranger service privileges
6. Lateral movement and privilege escalation
Likely Exploitation Characteristics
- Payload Delivery: HTTP/HTTPS requests to Ranger admin interface
- Execution Context: Java process running Ranger services
- Privileges: Typically runs as dedicated service account with elevated permissions
- Post-Exploitation: Access to Hadoop cluster credentials, policies, and audit logs
3. Affected Systems and Software Versions
Directly Affected
- Apache Ranger: All versions ≤ 2.7.0
- Version 2.7.0
- Version 2.6.x
- Version 2.5.x
- All earlier versions
Ecosystem Impact
Organizations using Apache Ranger in the following contexts are at risk:
Big Data Platforms:
- Apache Hadoop clusters
- Apache Hive deployments
- Apache HBase installations
- Apache Kafka environments
- Apache Storm implementations
- Cloudera Data Platform (CDP)
- Hortonworks Data Platform (HDP)
Deployment Scenarios:
- On-premises Hadoop clusters
- Hybrid cloud big data environments
- Multi-tenant data lake architectures
- Enterprise data governance frameworks
Infrastructure Components at Risk
- Ranger Admin servers
- Ranger UserSync services
- Ranger TagSync services
- Integrated Hadoop ecosystem components relying on Ranger policies
4. Recommended Mitigation Strategies
Immediate Actions (Priority 1)
A. Emergency Patching
1. Upgrade to Apache Ranger 2.8.0 immediately
2. Test in non-production environment first if possible
3. Schedule emergency maintenance window for production systems
4. Verify successful upgrade and functionality post-deployment
B. Temporary Compensating Controls (if immediate patching impossible)
- Restrict network access to Ranger Admin interface to trusted IP ranges only
- Implement Web Application Firewall (WAF) rules to filter suspicious script patterns
- Enable enhanced logging and monitoring for Ranger services
- Disable script-based policy features if operationally feasible
- Implement strict authentication and authorization for Ranger API access
Short-term Mitigations (Priority 2)
Network Segmentation:
- Isolate Ranger services in dedicated security zone
- Implement strict firewall rules (whitelist approach)
- Deploy intrusion detection/prevention systems (IDS/IPS)
- Monitor all traffic to/from Ranger infrastructure
Access Control Hardening:
- Enforce multi-factor authentication (MFA) for Ranger administrators
- Implement principle of least privilege for all Ranger accounts
- Review and revoke unnecessary administrative access
- Enable comprehensive audit logging
Security Monitoring:
Detection Signatures:
- Unusual JavaScript patterns in HTTP requests
- Unexpected script evaluation errors in logs
- Anomalous process creation from Ranger services
- Unauthorized policy modifications
- Suspicious API calls to script-related endpoints
Long-term Strategic Measures (Priority 3)
-
Security Architecture Review
- Evaluate necessity of script engine functionality
- Consider alternative policy expression mechanisms
- Implement defense-in-depth strategies
-
Vulnerability Management Program
- Subscribe to Apache security mailing lists
- Implement automated vulnerability scanning
- Establish patch management SLAs for critical infrastructure
-
Incident Response Preparation
- Develop specific playbooks for Ranger compromise scenarios
- Conduct tabletop exercises
- Establish forensic data collection procedures
5. Impact on Cybersecurity Landscape
Strategic Implications
A. Supply Chain Security Concerns
- Highlights risks in open-source big data ecosystem dependencies
- Demonstrates critical infrastructure vulnerabilities in data governance layers
- Emphasizes need for security-first design in authorization frameworks
B. Enterprise Risk Exposure Apache Ranger serves as a central authorization point for Hadoop ecosystems, making this vulnerability particularly dangerous:
- Credential Exposure: Access to all managed service credentials
- Policy Manipulation: Ability to modify or disable security policies
- Audit Trail Compromise: Potential to erase evidence of malicious activity
- Lateral Movement: Pivot point to entire Hadoop cluster infrastructure
- Data Exfiltration: Unrestricted access to protected datasets
C. Threat Actor Interest This vulnerability is highly attractive to:
- Advanced Persistent Threat (APT) groups targeting intellectual property
- Ransomware operators seeking high-value data environments
- Nation-state actors conducting espionage
- Insider threats with limited initial access
Industry-Specific Impacts
Financial Services:
- Risk to data lake containing sensitive customer information
- Regulatory compliance violations (GDPR, CCPA, PCI-DSS)
- Potential for financial fraud through data manipulation
Healthcare:
- HIPAA violations through unauthorized PHI access
- Patient safety risks from data integrity compromise
Government/Defense:
- National security implications
- Classified data exposure risks
6. Technical Details for Security Professionals
Vulnerability Mechanics
Component Analysis: NashornScriptEngineCreator
The Nashorn JavaScript engine (javax.script.ScriptEngine) allows execution of JavaScript code within the JVM. The vulnerability likely stems from:
// Vulnerable pattern (hypothetical)
ScriptEngineManager manager = new ScriptEngineManager();
ScriptEngine engine = manager.getEngineByName("nashorn");
// Unsanitized user input processed
engine.eval(userProvidedScript); // RCE occurs here
Root Cause Categories (Probable):
- Insufficient Input Validation: Lack of sanitization on script content
- Unsafe Deserialization: Script objects deserialized without validation
- Sandbox Escape: Nashorn security manager bypass
- Injection Vulnerability: Script injection in policy expressions
Detection and Forensics
Indicators of Compromise (IoCs):
Log Patterns:
- "javax.script.ScriptException" with unusual stack traces
- "NashornScriptEngineCreator" in error logs
- Unexpected Java process spawning from Ranger