CVE-2022-33751 in CA Automic Automation
Summary
by MITRE • 06/17/2022
CA Automic Automation 12.2 and 12.3 contain an insecure memory handling vulnerability in the Automic agent that could allow a remote attacker to potentially access sensitive data.
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Analysis
by VulDB Data Team • 06/17/2022
The CVE-2022-33751 vulnerability resides within CA Automic Automation versions 12.2 and 12.3, specifically affecting the Automic agent component that manages automated workflows and process execution. This insecure memory handling flaw represents a critical security weakness that could enable remote attackers to potentially extract sensitive data from affected systems. The vulnerability impacts organizations that rely on Automic's automation platform for enterprise workflow management, particularly those with distributed computing environments where agent communication occurs across network boundaries. The flaw stems from improper memory management practices within the agent software, creating potential attack vectors that adversaries could exploit without requiring local system access or elevated privileges.
The technical implementation of this vulnerability involves improper memory handling mechanisms that fail to adequately protect sensitive data structures during processing operations. When the Automic agent processes incoming requests or executes automated tasks, it maintains various data elements in memory that may contain confidential information such as authentication credentials, system configuration details, or business-critical process data. The insecure memory handling allows attackers to potentially read or manipulate memory contents through remote exploitation techniques, bypassing traditional network security controls. This issue aligns with CWE-129, which addresses improper handling of memory resources, and represents a variant of memory corruption vulnerabilities that can lead to information disclosure and potential privilege escalation. The vulnerability may manifest through buffer overflows, memory leaks, or improper memory deallocation that creates exploitable conditions within the agent's runtime environment.
The operational impact of CVE-2022-33751 extends beyond simple data exposure, potentially enabling attackers to gain unauthorized access to enterprise automation workflows and system configurations. Organizations utilizing Automic Automation for critical business processes face significant risk of data compromise, including potential exposure of sensitive operational data, authentication tokens, and system credentials that could facilitate further attacks. The remote exploitation capability means that attackers do not require physical access to affected systems, making the vulnerability particularly dangerous in networked environments where agents communicate across multiple security zones. This vulnerability can be leveraged as a stepping stone for more sophisticated attacks, potentially enabling lateral movement within networks or privilege escalation attacks that could compromise entire automation infrastructures. The impact is particularly severe for organizations with extensive Automic deployments where multiple agents handle sensitive enterprise data and process automation tasks.
Organizations should implement immediate mitigations including applying the vendor-provided patches and updates for CA Automic Automation 12.2 and 12.3 versions to address the insecure memory handling vulnerability. Network segmentation and access controls should be strengthened around affected systems to limit potential exploitation paths, while monitoring systems should be enhanced to detect unusual memory access patterns or anomalous agent behavior that might indicate exploitation attempts. Security teams should conduct comprehensive vulnerability assessments to identify all instances of the affected software versions within their infrastructure and prioritize remediation efforts based on risk exposure. The ATT&CK framework categorizes this vulnerability under T1005 Data from Local System, where adversaries may collect sensitive data from compromised systems, and T1068 Local Privilege Escalation, when exploitation leads to elevated system access. Regular security audits and penetration testing should be performed to validate the effectiveness of implemented controls and ensure that no residual vulnerabilities remain in the automation infrastructure.