GNU Binutils 2.43 Buffer Overflow in nm via __sanitizer
CVE-2025-1147 Published on February 10, 2025
GNU Binutils nm nm.c internal_strlen buffer overflow
A vulnerability has been found in GNU Binutils 2.43 and classified as problematic. Affected by this vulnerability is the function __sanitizer::internal_strlen of the file binutils/nm.c of the component nm. The manipulation of the argument const leads to buffer overflow. The attack can be launched remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used.
Timeline
Advisory disclosed
VulDB entry created
VulDB entry last update
Weakness Types
What is a Classic Buffer Overflow Vulnerability?
The program copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. A buffer overflow condition exists when a program attempts to put more data in a buffer than it can hold, or when a program attempts to put data in a memory area outside of the boundaries of a buffer. The simplest type of error, and the most common cause of buffer overflows, is the "classic" case in which the program copies the buffer without restricting how much is copied. Other variants exist, but the existence of a classic overflow strongly suggests that the programmer is not considering even the most basic of security protections.
CVE-2025-1147 has been classified to as a Classic Buffer Overflow vulnerability or weakness.
What is a Buffer Overflow Vulnerability?
The software performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer.
CVE-2025-1147 has been classified to as a Buffer Overflow vulnerability or weakness.
Products Associated with CVE-2025-1147
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Affected Versions
GNU Binutils Version 2.43 is affected by CVE-2025-1147Exploit 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.