CVE-2023-27716
CVE-2023-27716
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
An issue was discovered in freakchicken kafkaUI-lite 1.2.11 allows attackers on the same network to gain escalated privileges for the nodes running on it.
Comprehensive Technical Analysis of CVE-2023-27716
CVE ID: CVE-2023-27716 CVSS Score: 9.8 (Critical) Affected Software: freakchicken kafkaUI-lite v1.2.11 Vulnerability Type: Privilege Escalation (Local Network-Based)
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Overview
CVE-2023-27716 is a critical privilege escalation vulnerability in freakchicken kafkaUI-lite v1.2.11, a lightweight web-based Kafka management interface. The flaw allows attackers on the same network to gain escalated privileges on nodes running the vulnerable software.
CVSS v3.1 Metrics Breakdown
| Metric | Value | Explanation |
|---|---|---|
| Attack Vector (AV) | Network (N) | Exploitable remotely over the network. |
| Attack Complexity (AC) | Low (L) | No special conditions required. |
| Privileges Required (PR) | None (N) | No prior authentication needed. |
| User Interaction (UI) | None (N) | No user interaction required. |
| Scope (S) | Changed (C) | Impacts system integrity and confidentiality beyond the vulnerable component. |
| Confidentiality (C) | High (H) | Full disclosure of sensitive data possible. |
| Integrity (I) | High (H) | Attacker can modify system configurations. |
| Availability (A) | High (H) | Potential for denial-of-service or full system compromise. |
| Base Score | 9.8 (Critical) | High-impact, easily exploitable flaw. |
Severity Justification
- Critical (9.8) due to:
- Remote exploitation (no authentication required).
- High impact on confidentiality, integrity, and availability.
- Low attack complexity, making it accessible to unsophisticated threat actors.
- Privilege escalation leading to full system compromise.
2. Potential Attack Vectors & Exploitation Methods
Attack Surface
The vulnerability is network-based, meaning an attacker must be on the same local network segment as the target system. Possible attack vectors include:
-
Man-in-the-Middle (MitM) Attacks
- If the KafkaUI-lite instance communicates over unencrypted HTTP (default in some configurations), an attacker could intercept and modify requests.
- ARP spoofing or DHCP poisoning could redirect traffic to a malicious host.
-
Unauthenticated API Abuse
- If the application exposes insecure API endpoints, an attacker could craft malicious requests to escalate privileges.
- Session hijacking or cookie manipulation may be possible if authentication tokens are weakly protected.
-
Exploitation of Misconfigured ACLs
- If KafkaUI-lite lacks proper access controls, an attacker could bypass authentication and execute administrative functions.
-
Reverse Engineering & Custom Exploits
- If the application has hardcoded credentials or insecure deserialization, an attacker could exploit these to gain elevated access.
Exploitation Steps (Hypothetical)
-
Reconnaissance
- Identify the target system running
kafkaUI-lite v1.2.11via port scanning (e.g., Nmap) or service fingerprinting. - Check for open ports (default: 8080, 80, 443) and unencrypted communication.
- Identify the target system running
-
Initial Access
- If the application uses default credentials, attempt brute-force or credential stuffing.
- If no authentication is enforced, directly interact with the API.
-
Privilege Escalation
- Modify user roles via crafted HTTP requests (e.g.,
POST /api/admin/promote). - Inject malicious payloads (e.g., via JWT manipulation or SQL injection if applicable).
- Exploit insecure direct object references (IDOR) to access admin functions.
- Modify user roles via crafted HTTP requests (e.g.,
-
Post-Exploitation
- Execute arbitrary commands on the underlying Kafka cluster.
- Exfiltrate sensitive data (e.g., Kafka topics, consumer groups, credentials).
- Deploy malware or pivot to other systems in the network.
3. Affected Systems & Software Versions
Vulnerable Software
- Product: freakchicken kafkaUI-lite
- Version: 1.2.11 (and possibly earlier versions if the same flaw exists)
- Platform: Cross-platform (Linux, Windows, Docker containers)
Indicators of Compromise (IoCs)
- Network Traffic:
- Unusual HTTP/HTTPS requests to
/api/adminor/api/users. - Unauthenticated access to privileged endpoints.
- Unusual HTTP/HTTPS requests to
- Logs:
- Failed authentication attempts followed by successful admin-level access.
- Unexpected user role modifications in audit logs.
- System Changes:
- New admin accounts created without authorization.
- Unauthorized Kafka topic modifications or consumer group deletions.
4. Recommended Mitigation Strategies
Immediate Actions (Short-Term)
-
Upgrade to a Patched Version
- If available, upgrade to the latest secure version of kafkaUI-lite.
- Monitor the official GitHub repository for patches:
-
Network-Level Protections
- Isolate the KafkaUI-lite instance in a dedicated VLAN with strict firewall rules.
- Disable unnecessary network access (e.g., restrict to trusted IPs).
- Enforce TLS encryption (HTTPS) to prevent MitM attacks.
-
Authentication & Authorization Hardening
- Enable strong authentication (e.g., OAuth2, LDAP, or JWT with proper validation).
- Implement role-based access control (RBAC) to restrict admin functions.
- Disable default credentials and enforce password complexity.
-
Monitoring & Logging
- Enable detailed audit logging for all administrative actions.
- Set up alerts for suspicious activities (e.g., privilege escalation attempts).
- Integrate with SIEM (e.g., Splunk, ELK, Wazuh) for real-time threat detection.
Long-Term Remediation (Strategic)
-
Code Review & Secure Development
- Conduct a security audit of the application’s source code.
- Implement input validation to prevent injection attacks.
- Use secure coding practices (e.g., OWASP Top 10 guidelines).
-
Dependency Management
- Scan for vulnerable dependencies (e.g., using OWASP Dependency-Check or Snyk).
- Update third-party libraries to their latest secure versions.
-
Zero Trust Architecture
- Assume breach mentality and enforce least privilege access.
- Implement mutual TLS (mTLS) for internal service communication.
- Use API gateways with rate limiting and request validation.
-
Incident Response Planning
- Develop a playbook for privilege escalation incidents.
- Conduct red team exercises to test defenses against similar attacks.
5. Impact on the Cybersecurity Landscape
Broader Implications
-
Supply Chain Risks
- KafkaUI-lite is often deployed in DevOps and big data environments, making it a high-value target for attackers.
- If exploited, it could lead to lateral movement into Kafka clusters, databases, or other critical systems.
-
Increased Attack Surface in Cloud & Hybrid Environments
- Many organizations use Kafka for real-time data streaming, and misconfigured UIs can expose sensitive data flows.
- Containerized deployments (e.g., Docker, Kubernetes) may inadvertently expose KafkaUI-lite to broader networks.
-
Rise in Privilege Escalation Exploits
- This CVE follows a trend of critical privilege escalation flaws in admin interfaces (e.g., CVE-2021-44228 (Log4Shell), CVE-2023-22515 (Confluence)).
- Attackers are increasingly targeting management tools to gain persistent access to environments.
-
Regulatory & Compliance Risks
- GDPR, HIPAA, PCI-DSS require strict access controls—failure to patch could lead to fines or legal consequences.
- SOC 2, ISO 27001 audits may flag unpatched systems as non-compliant.
6. Technical Details for Security Professionals
Root Cause Analysis (Hypothetical)
While the exact technical details of CVE-2023-27716 are not fully disclosed, based on similar vulnerabilities, the flaw likely stems from:
-
Insecure Authentication Mechanism
- Hardcoded or default credentials in the application.
- Weak session management (e.g., predictable session tokens).
- Missing or improperly implemented JWT validation.
-
Broken Access Control
- Missing authorization checks on admin endpoints.
- Insecure direct object references (IDOR) allowing privilege escalation.
- Misconfigured CORS policies enabling cross-origin attacks.
-
Insecure API Design
- Exposed admin APIs without rate limiting.
- Lack of input validation leading to command injection or SQLi.
- Improper error handling leaking sensitive information.
Proof-of-Concept (PoC) Considerations
Security researchers may attempt to:
- Fuzz API endpoints to identify unauthenticated access.
- Analyze JavaScript sources for hardcoded secrets.
- Test for IDOR by modifying user IDs in API requests.
- Intercept traffic to check for unencrypted credentials.
Detection & Hunting Queries
SIEM Rules (e.g., Splunk, ELK)
# Detect unauthenticated admin access
index=kafka_ui sourcetype=access_log
| search uri_path="/api/admin/*" AND status=200
| stats count by src_ip, user_agent, uri_path
| where count > 5
# Detect privilege escalation attempts
index=kafka_ui sourcetype=application_log
| search "role=admin" OR "privilege escalation"
| table _time, user, action, status
YARA Rule (For Malicious Payloads)
rule KafkaUI_PrivilegeEscalation {
meta:
description = "Detects potential CVE-2023-27716 exploitation attempts"
author = "Security Researcher"
reference = "CVE-2023-27716"
strings:
$admin_endpoint = "/api/admin/promote" nocase
$jwt_manipulation = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9" // Base64 JWT header
$sqli_payload = "1' OR '1'='1" nocase
condition:
any of them
}
Conclusion & Recommendations
CVE-2023-27716 represents a critical risk to organizations using freakchicken kafkaUI-lite v1.2.11, with high potential for privilege escalation and full system compromise. Given its CVSS 9.8 score, immediate action is required:
✅ Patch or upgrade to the latest secure version. ✅ Isolate and restrict network access to the KafkaUI-lite instance. ✅ Enforce strong authentication and RBAC. ✅ Monitor for exploitation attempts via SIEM and IDS. ✅ Conduct a security audit to identify misconfigurations.
Security teams should treat this vulnerability with urgency, as it aligns with real-world attack trends targeting administrative interfaces. Proactive hardening of Kafka and related management tools is essential to prevent exploitation.
Further Reading: