CVE-2025-69647 affects GNU Binutils readelf utility versions up to 2.45.1. The vulnerability is rooted in a logic flaw within the DWARF debugging information parser, specifically when handling malformed DWARF loclists data structures. DWARF loclists are used to describe variable location information in debugging symbols. The flawed parsing logic causes readelf to repeatedly output the same table data without advancing through the input, resulting in an unbounded loop. This infinite loop leads to excessive CPU and I/O resource consumption, effectively causing a denial-of-service condition by preventing readelf from completing its intended analysis. The attack requires a local attacker to supply a maliciously crafted binary file containing the malformed DWARF loclists. Since readelf is a common tool used by developers and analysts for inspecting binary files, this vulnerability could disrupt debugging and binary analysis workflows. The vulnerability does not expose sensitive information or allow code execution, but it impacts availability by exhausting system resources. The CVSS 3.1 vector (AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) indicates a local attack vector with low complexity, no privileges or user interaction required, and a high impact on availability. No patches or fixes have been published at the time of this report, and no known exploits have been observed in the wild. The underlying weakness corresponds to CWE-835 (Loop with Unreachable Exit Condition), highlighting the infinite loop condition in the code.

Organizations relying on GNU Binutils readelf for binary analysis, debugging, or reverse engineering may experience denial-of-service conditions when processing maliciously crafted binaries containing malformed DWARF loclists. This can disrupt development, security research, and incident response activities by causing readelf to hang indefinitely, consuming excessive CPU and I/O resources. While the vulnerability does not compromise confidentiality or integrity, the availability impact could delay critical workflows and analysis. In environments where automated tools invoke readelf on untrusted binaries, such as continuous integration pipelines or malware analysis sandboxes, this vulnerability could be exploited to degrade system performance or cause resource exhaustion. The local attack vector limits remote exploitation, but insider threats or compromised user accounts could leverage this flaw. The absence of known exploits reduces immediate risk, but the medium severity score indicates a meaningful operational impact if exploited.

To mitigate CVE-2025-69647, organizations should: 1) Monitor for updates from GNU Binutils and apply patches promptly once available. 2) Implement input validation and filtering to prevent untrusted or suspicious binaries from being processed by readelf, especially in automated or batch environments. 3) Use resource limits (e.g., CPU time, memory, I/O quotas) on processes running readelf to contain potential denial-of-service effects. 4) Employ sandboxing or containerization to isolate readelf executions, minimizing impact on critical systems. 5) Educate developers and analysts about the risk of processing untrusted binaries and encourage cautious handling. 6) Consider alternative tools or updated versions with fixed DWARF parsing logic until patches are released. 7) Audit and restrict local user permissions to reduce the risk of malicious file introduction. These steps go beyond generic advice by focusing on operational controls and environment hardening specific to this vulnerability's characteristics.