CVE-2025-69647: n/a
CVE-2025-69647 is a denial-of-service vulnerability in GNU Binutils' readelf utility up to version 2. 45. 1. The flaw arises from a logic error in parsing malformed DWARF loclists data, causing readelf to enter an infinite output loop without forward progress. This results in excessive CPU and I/O consumption, effectively halting readelf's analysis process. The vulnerability requires a local attacker to supply a crafted binary file to trigger the condition. No remote exploitation or user interaction beyond providing the malicious file is necessary. There are no known exploits in the wild currently, and no CVSS score has been assigned. The impact is primarily on availability, potentially disrupting development and debugging workflows that rely on readelf. Mitigation involves careful input validation, patching once available, and restricting access to untrusted binary files.
AI Analysis
Technical Summary
CVE-2025-69647 identifies a denial-of-service vulnerability in the GNU Binutils readelf utility, specifically affecting versions through 2.45.1. The vulnerability stems from a logic flaw in the DWARF debugging information parser, particularly when handling malformed DWARF loclists data. DWARF loclists are used to describe variable location information in debugging symbols. When readelf processes a crafted binary containing malformed loclists, it enters an unbounded output loop, repeatedly printing the same table output without advancing. This infinite loop consumes excessive CPU and I/O resources, preventing readelf from completing its analysis and effectively causing a denial of service. Exploitation requires local access to supply the malicious binary file; no remote or network vector is involved. The flaw does not require elevated privileges beyond those needed to run readelf and does not involve user interaction beyond providing the input file. No patches or fixes are currently linked, and no CVSS score has been assigned. The vulnerability primarily impacts the availability of the readelf tool, which is widely used in software development and debugging environments that rely on GNU Binutils. While no exploits are known in the wild, the flaw could be leveraged by local attackers to disrupt development workflows or automated build systems that invoke readelf on untrusted binaries.
Potential Impact
The primary impact of CVE-2025-69647 is a denial of service affecting the availability of the readelf utility. Organizations relying on GNU Binutils for software development, debugging, or binary analysis may experience disruptions if malicious or malformed binaries are processed. This can lead to stalled build pipelines, delayed debugging sessions, and increased resource consumption on developer or build machines. Although the vulnerability requires local access, insider threats or compromised developer environments could exploit this to degrade productivity or cause operational delays. The excessive CPU and I/O usage could also affect shared development infrastructure or continuous integration systems, potentially impacting multiple users. Since readelf is a common tool in open-source and proprietary development environments, the scope of affected systems is broad but limited to those that process untrusted or malformed binaries locally. There is no direct impact on confidentiality or integrity, and no remote exploitation vector is present, limiting the overall risk to availability and operational continuity.
Mitigation Recommendations
To mitigate CVE-2025-69647, organizations should implement several specific measures beyond generic advice: 1) Restrict the use of readelf to trusted binary files only, avoiding processing untrusted or unknown inputs. 2) Employ file integrity monitoring and scanning to detect and quarantine malformed or suspicious binaries before analysis. 3) Isolate build and debugging environments to limit the impact of potential denial-of-service conditions caused by malicious inputs. 4) Monitor CPU and I/O usage on systems running readelf to detect abnormal resource consumption indicative of exploitation attempts. 5) Apply patches or updates from GNU Binutils maintainers promptly once available to fix the underlying parsing logic flaw. 6) Consider using alternative tools or updated versions of readelf that include improved input validation and error handling for DWARF data. 7) Educate developers and build engineers about the risks of processing untrusted binaries and encourage secure handling practices. These targeted mitigations help reduce the likelihood and impact of exploitation while maintaining development workflow integrity.
Affected Countries
United States, Germany, China, India, Japan, United Kingdom, France, Canada, South Korea, Russia
CVE-2025-69647: n/a
Description
CVE-2025-69647 is a denial-of-service vulnerability in GNU Binutils' readelf utility up to version 2. 45. 1. The flaw arises from a logic error in parsing malformed DWARF loclists data, causing readelf to enter an infinite output loop without forward progress. This results in excessive CPU and I/O consumption, effectively halting readelf's analysis process. The vulnerability requires a local attacker to supply a crafted binary file to trigger the condition. No remote exploitation or user interaction beyond providing the malicious file is necessary. There are no known exploits in the wild currently, and no CVSS score has been assigned. The impact is primarily on availability, potentially disrupting development and debugging workflows that rely on readelf. Mitigation involves careful input validation, patching once available, and restricting access to untrusted binary files.
AI-Powered Analysis
Technical Analysis
CVE-2025-69647 identifies a denial-of-service vulnerability in the GNU Binutils readelf utility, specifically affecting versions through 2.45.1. The vulnerability stems from a logic flaw in the DWARF debugging information parser, particularly when handling malformed DWARF loclists data. DWARF loclists are used to describe variable location information in debugging symbols. When readelf processes a crafted binary containing malformed loclists, it enters an unbounded output loop, repeatedly printing the same table output without advancing. This infinite loop consumes excessive CPU and I/O resources, preventing readelf from completing its analysis and effectively causing a denial of service. Exploitation requires local access to supply the malicious binary file; no remote or network vector is involved. The flaw does not require elevated privileges beyond those needed to run readelf and does not involve user interaction beyond providing the input file. No patches or fixes are currently linked, and no CVSS score has been assigned. The vulnerability primarily impacts the availability of the readelf tool, which is widely used in software development and debugging environments that rely on GNU Binutils. While no exploits are known in the wild, the flaw could be leveraged by local attackers to disrupt development workflows or automated build systems that invoke readelf on untrusted binaries.
Potential Impact
The primary impact of CVE-2025-69647 is a denial of service affecting the availability of the readelf utility. Organizations relying on GNU Binutils for software development, debugging, or binary analysis may experience disruptions if malicious or malformed binaries are processed. This can lead to stalled build pipelines, delayed debugging sessions, and increased resource consumption on developer or build machines. Although the vulnerability requires local access, insider threats or compromised developer environments could exploit this to degrade productivity or cause operational delays. The excessive CPU and I/O usage could also affect shared development infrastructure or continuous integration systems, potentially impacting multiple users. Since readelf is a common tool in open-source and proprietary development environments, the scope of affected systems is broad but limited to those that process untrusted or malformed binaries locally. There is no direct impact on confidentiality or integrity, and no remote exploitation vector is present, limiting the overall risk to availability and operational continuity.
Mitigation Recommendations
To mitigate CVE-2025-69647, organizations should implement several specific measures beyond generic advice: 1) Restrict the use of readelf to trusted binary files only, avoiding processing untrusted or unknown inputs. 2) Employ file integrity monitoring and scanning to detect and quarantine malformed or suspicious binaries before analysis. 3) Isolate build and debugging environments to limit the impact of potential denial-of-service conditions caused by malicious inputs. 4) Monitor CPU and I/O usage on systems running readelf to detect abnormal resource consumption indicative of exploitation attempts. 5) Apply patches or updates from GNU Binutils maintainers promptly once available to fix the underlying parsing logic flaw. 6) Consider using alternative tools or updated versions of readelf that include improved input validation and error handling for DWARF data. 7) Educate developers and build engineers about the risks of processing untrusted binaries and encourage secure handling practices. These targeted mitigations help reduce the likelihood and impact of exploitation while maintaining development workflow integrity.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2026-01-09T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69aedb362904315ca312a93c
Added to database: 3/9/2026, 2:37:42 PM
Last enriched: 3/9/2026, 2:52:56 PM
Last updated: 3/9/2026, 4:24:05 PM
Views: 6
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