CVE-2025-27032 in Snapdragon Auto
Summary
by MITRE • 09/24/2025
memory corruption while loading a PIL authenticated VM, when authenticated VM image is loaded without maintaining cache coherency.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Analysis
by VulDB Data Team • 09/24/2025
The vulnerability identified as CVE-2025-27032 represents a critical memory corruption issue that occurs during the loading process of PIL authenticated virtual machines within specific hardware environments. This flaw manifests when an authenticated virtual machine image is loaded without proper cache coherency maintenance, creating a dangerous condition that can lead to arbitrary code execution or system instability. The vulnerability resides in the memory management subsystem where the system fails to properly synchronize cache states during virtual machine image loading operations, particularly affecting systems that implement PIL (Protected Instruction List) authentication mechanisms.
The technical root cause of this vulnerability stems from a failure to maintain cache coherency protocols during the virtual machine loading sequence. When a PIL authenticated VM image is processed, the system must ensure that all cache levels remain consistent with the actual memory contents. However, the current implementation lacks proper cache synchronization mechanisms that would normally be enforced during such critical operations. This breakdown creates a race condition scenario where cached data becomes stale or inconsistent with the actual memory state, leading to unpredictable memory corruption patterns that can be exploited by malicious actors.
From an operational perspective, this vulnerability presents significant risks to systems that rely on authenticated virtual machine execution environments, particularly in cloud computing platforms, containerized environments, and hardware security modules. The impact extends beyond simple system crashes to potentially enable privilege escalation attacks, where an attacker could leverage the memory corruption to execute arbitrary code with elevated privileges. The vulnerability is especially concerning in multi-tenant environments where proper isolation between virtual machines is critical for maintaining security boundaries and preventing cross-tenant data leakage or compromise.
The exploitation of this vulnerability typically requires an attacker to have access to a system capable of loading authenticated VM images and to manipulate the cache coherency behavior during the loading process. This may occur through legitimate administrative functions or through more sophisticated attack vectors that can influence the virtual machine loading sequence. The vulnerability aligns with CWE-119, which addresses memory corruption issues, and maps to ATT&CK technique T1059 for execution through command injection, particularly in contexts where the corrupted memory can be leveraged to execute malicious code within the virtual environment. Organizations implementing virtualization technologies and those relying on PIL authentication mechanisms must prioritize this vulnerability due to its potential for enabling broader system compromise.
Mitigation strategies for CVE-2025-27032 should focus on implementing proper cache coherency enforcement during virtual machine loading operations, ensuring that all cache levels are properly synchronized before and during the image loading process. System administrators should consider implementing additional memory validation checks and monitoring for anomalous cache behavior during VM initialization. Hardware-level mitigations may include enabling cache coherency protocols that are automatically enforced during authenticated VM loading, while software patches should address the specific cache synchronization logic that fails to maintain proper memory consistency. Organizations should also implement network segmentation and access controls to limit the potential attack surface, as the vulnerability may be exploited from within compromised virtual environments. Regular vulnerability assessments and penetration testing should be conducted to identify systems that may be vulnerable to this specific memory corruption issue.