Vulnerability Monitor

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CVE-2025-38377


In the Linux kernel, the following vulnerability has been resolved: rose: fix dangling neighbour pointers in rose_rt_device_down() There are two bugs in rose_rt_device_down() that can cause use-after-free: 1. The loop bound `t->count` is modified within the loop, which can cause the loop to terminate early and miss some entries. 2. When removing an entry from the neighbour array, the subsequent entries are moved up to fill the gap, but the loop index `i` is still incremented, causing the next entry to be skipped. For example, if a node has three neighbours (A, A, B) with count=3 and A is being removed, the second A is not checked. i=0: (A, A, B) -> (A, B) with count=2 ^ checked i=1: (A, B) -> (A, B) with count=2 ^ checked (B, not A!) i=2: (doesn't occur because i < count is false) This leaves the second A in the array with count=2, but the rose_neigh structure has been freed. Code that accesses these entries assumes that the first `count` entries are valid pointers, causing a use-after-free when it accesses the dangling pointer. Fix both issues by iterating over the array in reverse order with a fixed loop bound. This ensures that all entries are examined and that the removal of an entry doesn't affect subsequent iterations.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.8, requiring local system access to exploit with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), integrity (unauthorized modifications), and availability (service disruption) for affected systems. Impacting 2 products from linux, from debian organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2025-07-25T13:15:26.780

Last Modified

2025-12-18T17:20:12.593

Status

Analyzed

Source

416baaa9-dc9f-4396-8d5f-8c081fb06d67

Severity

CVSSv3.1: 7.8 (HIGH)

Weaknesses
  • Type: Primary
    CWE-416

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Operating System linux linux_kernel < 5.4.296 Yes
Operating System linux linux_kernel < 5.10.240 Yes
Operating System linux linux_kernel < 5.15.187 Yes
Operating System linux linux_kernel < 6.1.144 Yes
Operating System linux linux_kernel < 6.6.97 Yes
Operating System linux linux_kernel < 6.12.37 Yes
Operating System linux linux_kernel < 6.15.6 Yes
Operating System linux linux_kernel 2.6.12 Yes
Operating System linux linux_kernel 2.6.12 Yes
Operating System linux linux_kernel 2.6.12 Yes
Operating System linux linux_kernel 2.6.12 Yes
Operating System linux linux_kernel 2.6.12 Yes
Operating System linux linux_kernel 6.16 Yes
Operating System linux linux_kernel 6.16 Yes
Operating System linux linux_kernel 6.16 Yes
Operating System linux linux_kernel 6.16 Yes
Operating System debian debian_linux 11.0 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For linux's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.