CVE-2022-40707 in Deep Security
Summary
by MITRE • 09/29/2022
An Out-of-bounds read vulnerability in Trend Micro Deep Security 20 and Cloud One - Workload Security Agent for Windows could allow a local attacker to disclose sensitive information on affected installations.
Please note: an attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit these vulnerabilities.
This vulnerability is similar to, but not identical to CVE-2022-40708.
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Analysis
by VulDB Data Team • 07/27/2023
The vulnerability identified as CVE-2022-40707 represents a critical out-of-bounds read flaw within Trend Micro Deep Security 20 and Cloud One - Workload Security Agent for Windows implementations. This security weakness manifests as an improper input validation issue that occurs when processing specific data structures within the security agent's memory management routines. The flaw exists in the Windows-based workload security agent component that is responsible for monitoring and protecting virtualized environments and cloud workloads. Attackers exploiting this vulnerability must first establish a foothold with low-privileged user access, as the vulnerability does not permit direct remote exploitation but requires local system compromise. This prerequisite aligns with common attack methodologies where initial access is gained through social engineering, phishing, or other lateral movement techniques before attempting privilege escalation or local exploitation.
The technical nature of this out-of-bounds read vulnerability stems from inadequate bounds checking within the memory access patterns of the security agent's processing functions. When the agent encounters specific malformed input or data sequences during its normal operations, the code fails to properly validate array indices or buffer limits before accessing memory locations. This allows an attacker who has already established low-privileged execution capabilities to manipulate memory access patterns and potentially read data from adjacent memory regions. The vulnerability's classification as CWE-129 indicates it involves improper validation of the length of an array, which directly relates to the bounds checking failure that enables the out-of-bounds read operation. The information disclosure aspect of this vulnerability could potentially expose sensitive system data, configuration details, or credential information that resides in memory regions adjacent to the affected buffers.
From an operational impact perspective, this vulnerability presents a significant risk to organizations utilizing Trend Micro Deep Security solutions, particularly in environments where security agents operate with elevated privileges or have access to sensitive data. The local exploitation requirement means that organizations must first address broader security gaps that allow attackers to establish initial access points, but once achieved, the vulnerability provides a mechanism for information disclosure that could aid in further attacks. The similarity to CVE-2022-40708 suggests a common underlying code pattern or architectural weakness within the Trend Micro security agent implementation that affects multiple related vulnerabilities. This pattern of multiple related vulnerabilities within a single product family indicates potential systemic issues in the software development lifecycle or code review processes, which could expose organizations to cascading security risks.
Organizations should implement immediate mitigation strategies that include applying the vendor-provided security patches and updates as soon as they become available. The recommended approach involves conducting thorough vulnerability assessments to identify all affected systems and prioritizing patch deployment based on risk exposure levels. Additionally, organizations should implement network segmentation and privilege separation measures to limit the potential impact of local exploitation attempts. The ATT&CK framework categorizes this type of vulnerability under the T1068 technique for Local Privilege Escalation, which emphasizes the importance of preventing local attackers from leveraging system weaknesses to gain elevated access. Security monitoring should focus on detecting anomalous memory access patterns and unusual data reading behaviors that could indicate exploitation attempts, while also implementing proper access controls to prevent unauthorized local execution on security agent systems.