Description
Dango-Translator v4.5.5 was discovered to contain a remote command execution (RCE) vulnerability via the component app/config/cloud_config.json.
EPSS Score:
4%
EUVD-2023-42702 Technical Analysis Report
Executive Summary
Vulnerability: Remote Command Execution (RCE) in Dango-Translator v4.5.5
Severity: CRITICAL (CVSS 9.8)
Status: Publicly disclosed with active exploitation potential
Primary Risk: Unauthenticated remote code execution leading to complete system compromise
1. Vulnerability Assessment and Severity Evaluation
CVSS 3.1 Analysis
The vulnerability carries a CVSS base score of 9.8, representing a critical severity level with the following vector breakdown:
- Attack Vector (AV:N): Network-based exploitation - attackable remotely
- Attack Complexity (AC:L): Low complexity - no special conditions required
- Privileges Required (PR:N): None - no authentication needed
- User Interaction (UI:N): No user interaction required
- Scope (S:U): Unchanged - impacts only the vulnerable component
- Confidentiality (C:H): High impact - total information disclosure
- Integrity (I:H): High impact - complete data modification capability
- Availability (A:H): High impact - total system denial of service possible
Severity Justification
This represents a worst-case scenario for web-facing applications:
- Zero authentication barriers
- Network-accessible attack surface
- Complete system compromise potential (CIA triad fully compromised)
- EPSS score of 4% indicates moderate probability of active exploitation in the wild
2. Attack Vectors and Exploitation Methods
Vulnerable Component
Target: app/config/cloud_config.json
This configuration file likely serves as a settings repository for cloud integration features. The RCE vulnerability suggests one or more of the following exploitation mechanisms:
Probable Attack Vectors
A. Configuration Injection Attack
Scenario: Unsanitized input processing from cloud_config.json
Attack Flow:
1. Attacker identifies exposed configuration endpoint
2. Malicious JSON payload injected containing command sequences
3. Application parses configuration without validation
4. System executes embedded commands with application privileges
B. Deserialization Vulnerability
Potential Mechanism:
- Unsafe deserialization of JSON objects
- Embedded executable code in configuration values
- Python eval() or exec() usage on configuration data
C. Template Injection
If configuration values are processed through template engines:
- Server-Side Template Injection (SSTI)
- Command substitution in configuration strings
- Shell metacharacter injection
Exploitation Prerequisites
- Network access to Dango-Translator instance
- Knowledge of configuration file location/endpoint
- Ability to modify or influence cloud_config.json contents
- No authentication credentials required
Exploitation Impact
Successful exploitation grants attackers:
- Arbitrary code execution with application user privileges
- Lateral movement capabilities within the network
- Data exfiltration of sensitive translation data
- Persistence mechanisms through configuration manipulation
- Supply chain attack potential if used in production translation workflows
3. Affected Systems and Software Versions
Confirmed Affected Version
- Dango-Translator v4.5.5 (explicitly identified)
Potentially Affected Versions
Given the update timeline (Aug 2023 publication, Oct 2024 update), versions prior to and potentially including v4.5.5 should be considered vulnerable until vendor confirmation.
Deployment Scenarios at Risk
High-Risk Deployments:
- Internet-facing translation services
- Cloud-hosted instances with public endpoints
- Containerized deployments with exposed ports
- API gateways routing to Dango-Translator backends
Medium-Risk Deployments:
- Internal network deployments (vulnerable to insider threats)
- Development/staging environments (lateral movement risk)
- Multi-tenant environments (cross-contamination potential)
European Context
Organizations in EU member states utilizing Dango-Translator for:
- Multilingual content management
- Real-time translation services
- Document processing pipelines
- Customer-facing translation APIs
4. Recommended Mitigation Strategies
Immediate Actions (Priority 1 - Within 24 Hours)
A. Version Verification and Patching
# Identify running version
grep -r "version" /path/to/dango-translator/
# Check GitHub for security patches
# Reference: https://github.com/PantsuDango/Dango-Translator/issues/127
B. Network Isolation
- Implement firewall rules restricting access to trusted IP ranges
- Deploy Web Application Firewall (WAF) with RCE detection rules
- Remove public internet exposure if not operationally required
C. Configuration Hardening
# Restrict file permissions on cloud_config.json
chmod 400 /app/config/cloud_config.json
chown root:application /app/config/cloud_config.json
# Implement file integrity monitoring
aide --init /app/config/
Short-Term Mitigations (Priority 2 - Within 72 Hours)
D. Application-Level Controls
- Implement input validation for all configuration parameters
- Deploy runtime application self-protection (RASP) solutions
- Enable comprehensive logging for configuration file access
E. Monitoring and Detection
Deploy detection rules for:
- Unusual process spawning from application context
- Outbound connections to suspicious destinations
- Configuration file modifications
- Abnormal CPU/memory usage patterns
F. Incident Response Preparation
- Review and update incident response playbooks
- Conduct tabletop exercises for RCE scenarios
- Establish communication channels with CERT-EU
Long-Term Strategic Mitigations
G. Architecture Review
- Migrate to least-privilege execution models
- Implement container security with read-only filesystems
- Deploy service mesh with micro-segmentation
H. Secure Development Practices
- Code review focusing on configuration parsing logic
- Static Application Security Testing (SAST) integration
- Dynamic Application Security Testing (DAST) for RCE vulnerabilities
I. Vendor Management
- Establish SLA for security patch delivery
- Implement software composition analysis (SCA)
- Evaluate alternative translation solutions with better security posture
5. Impact on European Cybersecurity Landscape
Regulatory Implications
NIS2 Directive Considerations
- Organizations in essential/important sectors must report incidents within 24 hours
- RCE vulnerabilities in production systems constitute reportable incidents
- Failure to patch may indicate inadequate cybersecurity risk management
GDPR Compliance Risks Translation services often process:
- Personal data requiring Article 32 security measures
- Special category data (Article 9) in healthcare/legal contexts
- Cross-border data transfers requiring adequate protection
Potential GDPR Violations:
- Breach of confidentiality (Article 5.1.f)
- Inadequate technical measures (Article 32)
- Notification obligations if personal data compromised (Article 33/34)
Sector-Specific Impacts
Critical Infrastructure
- Energy sector: Multilingual safety documentation systems
- Healthcare: Patient record translation services
- Finance: Cross-border transaction processing
Public Sector
- EU institutional translation workflows
- Member state government services
- Cross-border administrative cooperation platforms
ENISA Perspective
The vulnerability aligns with ENISA's identified threat landscape priorities:
- Supply chain attacks through third-party components
- Exploitation of known vulnerabilities
- Ransomware delivery mechanisms via RCE
6. Technical Details for Security Professionals
Vulnerability Analysis Deep Dive
Code-Level Hypothesis
Based on the component path app/config/cloud_config.json, the vulnerability likely stems from:
# VULNERABLE PATTERN (Hypothetical)
import json
import os
def load_cloud_config():
with open('app/config/cloud_config.json', 'r') as f:
config = json.load(f)
# DANGEROUS: Direct execution of configuration values
if 'startup_command' in config:
os.system(config['startup_command']) # RCE vector
# OR: Unsafe eval usage
if 'cloud_settings' in config:
eval(config['cloud_settings']) # RC