CVE-2024-8950 in Piramit Automation
Summary
by MITRE • 12/25/2024
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Arne Informatics Piramit Automation allows Blind SQL Injection.
This issue affects Piramit Automation: before 27.09.2024.
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Analysis
by VulDB Data Team • 06/02/2026
The vulnerability identified as CVE-2024-8950 represents a critical security flaw in Arne Informatics Piramit Automation software, specifically manifesting as an improper neutralization of special elements within SQL commands. This weakness enables attackers to execute blind SQL injection attacks against the affected system, potentially compromising database integrity and confidentiality. The vulnerability exists in versions of Piramit Automation prior to the 27.09.2024 release, indicating that organizations using older versions remain at significant risk. The issue falls under the well-established CWE-89 category, which specifically addresses SQL injection vulnerabilities where input data is not properly sanitized before being incorporated into database queries. This classification aligns with the broader ATT&CK framework's T1190 technique for exploitation of vulnerabilities, particularly within the context of database access and credential theft.
The technical implementation of this vulnerability stems from insufficient input validation and sanitization within the application's database interaction layers. When user-supplied data is directly concatenated into SQL query strings without proper parameterization or escaping mechanisms, attackers can manipulate the intended query structure through carefully crafted inputs. In the case of blind SQL injection, the attacker cannot directly observe query results through error messages or returned data, but can infer information through timing variations or conditional responses. This approach requires sophisticated attack methodologies and can be particularly challenging to detect through standard security monitoring systems. The affected Piramit Automation environment likely processes user inputs through database queries that lack proper input sanitization, creating an attack surface where malicious payloads can alter query execution paths.
The operational impact of CVE-2024-8950 extends beyond simple data theft to encompass potential system compromise and business disruption. Successful exploitation could allow attackers to extract sensitive information from databases, modify or delete critical data, and potentially escalate privileges within the affected environment. Organizations relying on Piramit Automation for business-critical operations face significant risks including regulatory compliance violations, financial losses, and reputational damage. The blind nature of the injection means that attackers can systematically probe the database structure and content without immediate detection, making this vulnerability particularly dangerous for extended periods. The affected system's database operations may be compromised through unauthorized access to administrative functions, user credentials, and operational data that forms the core of business processes.
Organizations must implement immediate mitigations to address this vulnerability, beginning with the urgent upgrade to Piramit Automation version 27.09.2024 or later, which contains the necessary security patches. Additionally, implementing proper input validation and parameterized queries should be prioritized across all database interaction points within the application. Security teams should conduct comprehensive vulnerability assessments to identify any other potential injection points within the system architecture, as this vulnerability may indicate broader security gaps in input handling. Network segmentation and database access controls should be strengthened to limit potential attack impact, while implementing robust monitoring and logging mechanisms to detect anomalous database query patterns. The mitigation strategy should also include regular security testing, including penetration testing and code reviews, to identify and remediate similar vulnerabilities before they can be exploited by malicious actors.