CVE-2020-15436 Overview
CVE-2020-15436 is a use-after-free vulnerability in the Linux kernel's block device layer (fs/block_dev.c) that affects versions prior to 5.8. This memory corruption flaw allows local users to potentially gain elevated privileges or cause a denial of service by exploiting improper access to a certain error field within the block device subsystem.
Critical Impact
Local privilege escalation or denial of service through memory corruption in the kernel block device layer, affecting enterprise storage systems and cloud infrastructure.
Affected Products
- Linux Kernel (versions prior to 5.8)
- Broadcom Brocade Fabric Operating System Firmware
- NetApp Cloud Backup
- NetApp SolidFire & HCI Management Node
- NetApp SolidFire Baseboard Management Controller
- NetApp H410C, H610C, H610S, H615C
- NetApp A700S, AFF 8700, FAS 8700, AFF 8300, FAS 8300
- NetApp AFF A400, Fabric-Attached Storage A400, A250, AFF 500F, FAS 500F
Discovery Timeline
- November 23, 2020 - CVE-2020-15436 published to NVD
- November 21, 2024 - Last updated in NVD database
Technical Details for CVE-2020-15436
Vulnerability Analysis
This use-after-free vulnerability (CWE-416) exists in the Linux kernel's fs/block_dev.c file, which handles block device operations. The flaw stems from improper memory management where an error field is accessed after the associated memory has been freed. Local attackers with elevated privileges can exploit this condition to execute arbitrary code in kernel context or trigger a system crash.
The vulnerability requires local access to the system, meaning an attacker must already have some level of access to the target machine. Once exploited, the attacker could potentially escalate their privileges to root level or cause system instability through denial of service conditions.
Root Cause
The root cause of CVE-2020-15436 lies in improper memory lifecycle management within the block device subsystem. Specifically, the vulnerability occurs when code attempts to access an error field in a data structure that has already been deallocated. This creates a dangling pointer scenario where the memory location may have been reallocated for other purposes, leading to unpredictable behavior when accessed.
Use-after-free vulnerabilities like this one typically arise from complex control flows where object lifetimes are not properly tracked, or where asynchronous operations create race conditions between memory deallocation and subsequent access attempts.
Attack Vector
The attack vector for CVE-2020-15436 is local, requiring the attacker to have existing access to the target system. The exploitation scenario involves:
- The attacker gains local access to a system running a vulnerable Linux kernel version
- The attacker triggers specific block device operations that manipulate the vulnerable code path
- Through careful timing or repeated attempts, the attacker forces access to the freed memory
- If the freed memory has been reallocated with attacker-controlled data, this can lead to code execution with kernel privileges
The technical details of exploitation involve manipulating the error handling paths in the block device layer. For comprehensive technical analysis, refer to the LKML Discussion Post where the vulnerability was initially discussed.
Detection Methods for CVE-2020-15436
Indicators of Compromise
- Unexpected kernel panics or system crashes related to block device operations
- Unusual privilege escalation events from low-privileged users to root
- Kernel oops messages referencing fs/block_dev.c or related functions
- Memory corruption indicators in kernel logs such as use-after-free or KASAN warnings
Detection Strategies
- Deploy kernel address sanitizer (KASAN) in development and testing environments to detect memory corruption
- Monitor system logs for kernel oops, panics, or warnings related to block device operations
- Implement endpoint detection and response (EDR) solutions to identify anomalous privilege escalation attempts
- Use SentinelOne's behavioral AI to detect exploitation patterns indicative of kernel memory corruption attacks
Monitoring Recommendations
- Enable kernel auditing to log block device-related system calls and operations
- Configure alerts for unexpected root privilege acquisitions from unprivileged processes
- Monitor for unusual block device mount/unmount activity that could indicate exploitation attempts
- Deploy kernel integrity monitoring to detect unauthorized modifications to kernel memory
How to Mitigate CVE-2020-15436
Immediate Actions Required
- Upgrade the Linux kernel to version 5.8 or later which contains the fix for this vulnerability
- Apply vendor-specific patches from NetApp, Broadcom, and other affected vendors for their respective products
- Restrict local access to systems running vulnerable kernel versions
- Implement the principle of least privilege to limit the potential impact of exploitation
Patch Information
The vulnerability has been addressed in the Linux kernel version 5.8 and later. Organizations should update to the latest stable kernel release for their distribution. For specific patch details, refer to the LKML Discussion Post which contains the original fix discussion.
NetApp has released security advisories for affected products. Refer to the NetApp Security Advisory for product-specific remediation guidance.
Workarounds
- Limit local access to affected systems to trusted users only
- Implement strict access controls and multi-factor authentication for system access
- Use security modules like SELinux or AppArmor in enforcing mode to restrict kernel exploitation
- Consider containerization with restricted capabilities to limit kernel attack surface
- Deploy runtime application self-protection (RASP) solutions to detect and block exploitation attempts
# Check current kernel version
uname -r
# Verify if running a vulnerable kernel (versions before 5.8)
# If vulnerable, update to latest kernel version
# Example for Debian/Ubuntu:
sudo apt update && sudo apt upgrade linux-image-generic
# Example for RHEL/CentOS:
sudo yum update kernel
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


