CVE-2023-31066
CVE-2023-31066
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- High
- Availability
- High
Description
Files or Directories Accessible to External Parties vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.6.0. Different users in InLong could delete, edit, stop, and start others' sources! Users are advised to upgrade to Apache InLong's 1.7.0 or cherry-pick https://github.com/apache/inlong/pull/7775 https://github.com/apache/inlong/pull/7775 to solve it.
Comprehensive Technical Analysis of CVE-2023-31066
Apache InLong Privilege Escalation Vulnerability
1. Vulnerability Assessment and Severity Evaluation
Overview
CVE-2023-31066 is a critical privilege escalation vulnerability in Apache InLong, an open-source data integration framework. The flaw allows unauthorized users to delete, modify, stop, or start other users' data sources, effectively bypassing access controls and enabling lateral movement within the system.
CVSS Score & Severity Breakdown
- CVSS v3.1 Score: 9.1 (Critical)
- Vector String:
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:H/A:H - Metrics:
- Attack Vector (AV:N): Network-based exploitation (remote attack possible).
- Attack Complexity (AC:L): Low (no specialized conditions required).
- Privileges Required (PR:L): Low (attacker needs minimal privileges, such as a standard user account).
- User Interaction (UI:N): None (fully automated exploitation possible).
- Scope (S:C): Changed (impacts other components beyond the vulnerable system).
- Confidentiality (C:N): None (no direct data exposure).
- Integrity (I:H): High (attacker can modify or delete critical data sources).
- Availability (A:H): High (attacker can disrupt services by stopping sources).
- Vector String:
Risk Assessment
- Exploitability: High (low-privilege users can escalate privileges with minimal effort).
- Impact: Severe (unauthorized control over data sources, potential data loss, and service disruption).
- Likelihood of Exploitation: High (publicly disclosed, no authentication bypass required).
2. Potential Attack Vectors and Exploitation Methods
Attack Surface
The vulnerability resides in Apache InLong’s access control mechanism, specifically in how it manages source permissions (e.g., Kafka, MySQL, or file-based data sources). The flaw allows:
- Unauthorized deletion of another user’s data source.
- Modification of source configurations (e.g., changing connection strings, topics, or credentials).
- Stopping/starting another user’s data sources, leading to denial-of-service (DoS) or data manipulation.
Exploitation Steps
-
Initial Access:
- Attacker gains access to an InLong user account (even with low privileges).
- No authentication bypass is required; the flaw exists in post-authentication logic.
-
Privilege Escalation:
- The attacker enumerates other users' data sources via the InLong API or UI.
- Using crafted API requests, the attacker sends unauthorized commands (e.g.,
DELETE /api/source/{id},PUT /api/source/{id}/config).
-
Impact Execution:
- Data Destruction: Deleting critical data sources.
- Data Tampering: Modifying source configurations to redirect data flows.
- Service Disruption: Stopping data ingestion pipelines, causing downstream failures.
Proof-of-Concept (PoC) Considerations
- A PoC could involve:
- API Fuzzing: Testing for missing authorization checks in source management endpoints.
- Session Hijacking: If session tokens are weak, an attacker could impersonate another user.
- CSRF Exploitation: If InLong lacks CSRF protections, an attacker could trick a privileged user into executing malicious requests.
3. Affected Systems and Software Versions
Vulnerable Versions
- Apache InLong 1.4.0 through 1.6.0 (inclusive).
Unaffected Versions
- Apache InLong 1.7.0 (patched).
- Versions prior to 1.4.0 (if not explicitly mentioned, assume unaffected).
Deployment Scenarios at Risk
- Cloud-based InLong deployments (AWS, GCP, Azure) where multi-tenancy is used.
- Enterprise data pipelines where multiple teams share an InLong instance.
- Microservices architectures where InLong is used for inter-service data streaming.
4. Recommended Mitigation Strategies
Immediate Actions
- Upgrade to Apache InLong 1.7.0 (recommended).
- Patch URL: https://github.com/apache/inlong/pull/7775
- Apply the Cherry-Pick Patch (if immediate upgrade is not feasible):
- Manually apply the fix from PR #7775.
- Isolate InLong Instances (if multi-tenancy is not required):
- Deploy separate InLong instances per team/business unit.
Compensating Controls (If Patching is Delayed)
- Network-Level Restrictions:
- Firewall Rules: Restrict access to InLong’s management API to trusted IPs.
- VPC/Subnet Isolation: Deploy InLong in a private subnet with no public exposure.
- Application-Level Protections:
- Rate Limiting: Prevent brute-force API abuse.
- WAF Rules: Block suspicious API requests (e.g., unexpected
DELETEorPUTmethods). - Audit Logging: Enable detailed logging of all source management operations.
- Least Privilege Enforcement:
- Role-Based Access Control (RBAC): Restrict source management to only necessary users.
- Temporary Workaround: Disable source deletion/modification for non-admin users via custom middleware.
Long-Term Recommendations
- Security Testing:
- Conduct penetration testing on InLong deployments to identify misconfigurations.
- Implement static (SAST) and dynamic (DAST) application security testing in CI/CD pipelines.
- Monitoring & Detection:
- SIEM Integration: Alert on unusual source management activities (e.g., a user deleting another user’s source).
- Anomaly Detection: Use ML-based tools to detect privilege escalation attempts.
5. Impact on the Cybersecurity Landscape
Broader Implications
- Supply Chain Risks:
- Apache InLong is used in data integration pipelines, meaning a compromise could lead to data poisoning or exfiltration in downstream systems (e.g., Kafka, Elasticsearch, databases).
- Cloud & Big Data Ecosystems:
- Many organizations use InLong in cloud-native environments, increasing the risk of cross-tenant attacks in shared clusters.
- Regulatory & Compliance Risks:
- GDPR, CCPA, HIPAA: Unauthorized data source modifications could lead to data breaches, triggering regulatory penalties.
- SOC 2, ISO 27001: Failure to patch may result in compliance violations.
Threat Actor Motivations
- Cybercriminals: May exploit this for data theft, ransomware deployment, or sabotage.
- Nation-State Actors: Could use it for espionage or supply chain attacks in critical infrastructure.
- Insider Threats: Malicious insiders could disrupt operations or exfiltrate data without detection.
6. Technical Details for Security Professionals
Root Cause Analysis
The vulnerability stems from missing authorization checks in InLong’s source management API. Specifically:
- The API endpoints for source deletion, modification, and state changes (
/api/source/{id}) do not validate whether the requesting user owns the resource. - The flaw is likely due to improper implementation of RBAC or missing middleware for permission validation.
Code-Level Insights (From PR #7775)
The patch introduces:
- Permission Validation Middleware:
- Checks if the requesting user has ownership or admin rights over the source.
- Example (pseudo-code):
if (!currentUser.hasPermission(source.getOwnerId())) { throw new UnauthorizedException("User does not have permission to modify this source."); }
- Enhanced Audit Logging:
- Logs all source management actions with user context for forensic analysis.
Exploitation Detection
- Indicators of Compromise (IoCs):
- Unusual
DELETEorPUTrequests to/api/source/{id}from low-privilege users. - Multiple failed attempts to modify sources owned by other users.
- Sudden data source deletions or configuration changes without approval.
- Unusual
- Log Analysis Queries (SIEM):
SELECT * FROM inlong_logs WHERE action IN ('DELETE', 'UPDATE', 'STOP', 'START') AND user NOT IN (SELECT owner FROM sources WHERE source_id = target_source_id)
Forensic Investigation Steps
- Check API Logs:
- Identify unauthorized source modifications.
- Review User Activity:
- Correlate source changes with user sessions.
- Data Source Integrity:
- Verify if any sources were maliciously reconfigured (e.g., changed Kafka topics, database credentials).
- Network Traffic Analysis:
- Look for unusual API calls from unexpected IPs.
Conclusion & Final Recommendations
CVE-2023-31066 is a critical privilege escalation flaw in Apache InLong that bypasses access controls, allowing unauthorized users to disrupt or manipulate data pipelines. Given its CVSS 9.1 score and ease of exploitation, organizations must prioritize patching or implement compensating controls immediately.
Action Plan for Security Teams
| Priority | Action Item | Owner | Timeline |
|---|---|---|---|
| Critical | Upgrade to InLong 1.7.0 or apply PR #7775 | DevOps/SRE | Immediate (24-48h) |
| High | Restrict API access via firewall/WAF | Network Security | Within 72h |
| Medium | Enable detailed audit logging | SIEM Team | Within 1 week |
| Low | Conduct penetration testing on InLong | Red Team | Within 2 weeks |
Key Takeaways
- Patch immediately to prevent privilege escalation attacks.
- Monitor for unauthorized source modifications in logs.
- Enforce least privilege to limit exposure.
- Assume breach and investigate if suspicious activity is detected.
For further details, refer to the Apache Security Advisory.