
Cloud Vulnerability DB
An open project to list all known cloud vulnerabilities and Cloud Service Provider security issues
CVE-2023-3397 is a race condition vulnerability discovered in the Linux Kernel's JFS (Journaling File System) implementation. The vulnerability exists between the functions lmLogClose and txEnd, which can be executed in different threads. This security flaw was disclosed on November 1, 2023, and affects the Linux Kernel's JFS component. The vulnerability allows a local attacker with normal user privileges to potentially crash the system or leak internal kernel information (NVD, Ubuntu).
The vulnerability stems from a race condition between two functions: lmLogClose and txEnd, which can be executed in different threads. The race condition occurs when one thread executes lmLogClose and frees the log while another thread attempts to access it in txEnd. This can lead to a use-after-free condition when clearbit(logFLUSH, &log->flag) is called after the log has been freed. The vulnerability has been assigned a CVSS v3.1 base score of 6.3 (Medium) with the vector string CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:H (NVD).
The exploitation of this vulnerability can result in system crashes or the leakage of internal kernel information. This can affect system stability and potentially expose sensitive kernel data to local attackers with normal user privileges (NVD).
A fix has been proposed by adding a mutex lock named txEndlmLogClosemutex to prevent the race condition between lmLogClose and txEnd functions. The patch includes modifications to multiple files in the JFS implementation to implement proper synchronization between these functions (Kernel Patch).
Source: This report was generated using AI
Free Vulnerability Assessment
Evaluate your cloud security practices across 9 security domains to benchmark your risk level and identify gaps in your defenses.
An open project to list all known cloud vulnerabilities and Cloud Service Provider security issues
A comprehensive threat intelligence database of cloud security incidents, actors, tools and techniques
A step-by-step framework for modeling and improving SaaS and PaaS tenant isolation
Get a personalized demo
“Best User Experience I have ever seen, provides full visibility to cloud workloads.”
“Wiz provides a single pane of glass to see what is going on in our cloud environments.”
“We know that if Wiz identifies something as critical, it actually is.”