CVE-2025-10452
CVE-2025-10452
Weakness (CWE)
CVSS Vector
v4.0- Attack Vector
- Network
- Attack Complexity
- Low
- Attack Requirements
- None
- Privileges Required
- None
- User Interaction
- None
- Confidentiality (Vulnerable)
- High
- Integrity (Vulnerable)
- High
- Availability (Vulnerable)
- High
- Confidentiality (Subsequent)
- None
- Integrity (Subsequent)
- None
- Availability (Subsequent)
- None
Description
Statistical Database System developed by Gotac has a Missing Authentication vulnerability, allowing unauthenticated remote attackers to read, modify, and delete database contents with high-level privileges.
Comprehensive Technical Analysis of CVE-2025-10452
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-10452 Description: The Statistical Database System developed by Gotac contains a Missing Authentication vulnerability. This flaw allows unauthenticated remote attackers to read, modify, and delete database contents with high-level privileges. CVSS Score: 9.8
Severity Evaluation:
- CVSS Base Score: 9.8 (Critical)
- Impact Metrics:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: None
- Scope: Unchanged
The high CVSS score indicates that this vulnerability poses a significant risk to affected systems. The ability for unauthenticated attackers to perform high-level operations on the database underscores the critical nature of this flaw.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attacks: Given the vulnerability allows remote access, attackers can exploit it over the network without needing physical access or user interaction.
- Automated Scripts: Attackers can use automated scripts to scan for vulnerable systems and exploit them en masse.
- Phishing and Social Engineering: Although not directly related to the vulnerability, attackers might use phishing to gain initial access to the network, then exploit this vulnerability.
Exploitation Methods:
- Direct Database Access: Attackers can directly access the database without authentication, allowing them to read, modify, or delete data.
- Privilege Escalation: Once inside the database, attackers can escalate privileges to perform high-level operations.
- Data Exfiltration: Attackers can exfiltrate sensitive data, leading to data breaches and potential compliance violations.
3. Affected Systems and Software Versions
Affected Systems:
- All systems running the Statistical Database System developed by Gotac.
Software Versions:
- Specific versions affected are not listed in the provided information. It is crucial to check the vendor's advisory or the references provided for detailed version information.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patch Management: Apply the latest patches and updates provided by Gotac as soon as they are available.
- Network Segmentation: Isolate the database system from public networks to limit exposure.
- Access Controls: Implement strict access controls and monitor for unauthorized access attempts.
Long-Term Strategies:
- Regular Audits: Conduct regular security audits and vulnerability assessments.
- Intrusion Detection: Deploy intrusion detection systems (IDS) to monitor for suspicious activities.
- User Training: Educate users about the risks of phishing and social engineering attacks.
5. Impact on Cybersecurity Landscape
Broader Implications:
- Data Integrity: The ability to modify database contents can lead to data corruption and loss of integrity.
- Compliance Risks: Organizations may face compliance issues if sensitive data is compromised.
- Reputation Damage: Data breaches can result in significant reputational damage and loss of customer trust.
Industry-Wide Concerns:
- Supply Chain Risks: Vendors and partners using the affected database system may also be at risk.
- Increased Attack Surface: The vulnerability increases the attack surface for organizations relying on the Statistical Database System.
6. Technical Details for Security Professionals
Vulnerability Details:
- Type: Missing Authentication
- Cause: Lack of proper authentication mechanisms in the database system.
- Exploitability: High, due to the ease of remote access and the lack of required privileges.
Detection and Response:
- Log Analysis: Monitor database logs for unauthorized access attempts and unusual activities.
- Anomaly Detection: Use anomaly detection tools to identify irregular patterns in database access.
- Incident Response: Develop an incident response plan specific to this vulnerability, including steps for containment, eradication, and recovery.
References:
By addressing this vulnerability promptly and comprehensively, organizations can mitigate the risks associated with CVE-2025-10452 and enhance their overall cybersecurity posture.