ncurses 6.4-6.5 Buffer Overflow in infocmp.c analyze_string()
CVE-2025-69720 Published on March 19, 2026
The infocmp command-line tool in ncurses before 6.5-20251213 has a stack-based buffer overflow in analyze_string in progs/infocmp.c.
Vulnerability Analysis
CVE-2025-69720 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. An automatable proof of concept (POC) exploit exists. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.
Weakness Types
What is a Stack Overflow Vulnerability?
A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function).
CVE-2025-69720 has been classified to as a Stack Overflow vulnerability or weakness.
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-2025-69720 has been classified to as a Classic Buffer Overflow vulnerability or weakness.
Products Associated with CVE-2025-69720
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Affected Versions
GNU ncurses:- Before 6.5-20251213 is affected.
Exploit 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.