Memory Leak in GNU Binutils 2.43 ld link_order_scan (Remote)
CVE-2025-1148 Published on February 10, 2025
GNU Binutils ld ldelfgen.c link_order_scan memory leak
A vulnerability was found in GNU Binutils 2.43 and classified as problematic. Affected by this issue is the function link_order_scan of the file ld/ldelfgen.c of the component ld. The manipulation leads to memory leak. The attack may be launched remotely. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used. It is recommended to apply a patch to fix this issue. The code maintainer explains: "I'm not going to commit some of the leak fixes I've been working on to the 2.44 branch due to concern that would destabilise ld. All of the reported leaks in this bugzilla have been fixed on binutils master."
Timeline
Advisory disclosed
VulDB entry created
VulDB entry last update
Weakness Types
What is a Memory Leak Vulnerability?
The software does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory. This is often triggered by improper handling of malformed data or unexpectedly interrupted sessions. In some languages, developers are responsible for tracking memory allocation and releasing the memory. If there are no more pointers or references to the memory, then it can no longer be tracked and identified for release.
CVE-2025-1148 has been classified to as a Memory Leak vulnerability or weakness.
Improper Resource Shutdown or Release
The program does not release or incorrectly releases a resource before it is made available for re-use. When a resource is created or allocated, the developer is responsible for properly releasing the resource as well as accounting for all potential paths of expiration or invalidation, such as a set period of time or revocation.
Products Associated with CVE-2025-1148
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Affected Versions
GNU Binutils Version 2.43 is affected by CVE-2025-1148Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.