CVE-2025-69652: n/a
GNU Binutils thru 2.46 readelf contains a vulnerability that leads to an abort (SIGABRT) when processing a crafted ELF binary with malformed DWARF abbrev or debug information. Due to incomplete state cleanup in process_debug_info(), an invalid debug_info_p state may propagate into DWARF attribute parsing routines. When certain malformed attributes result in an unexpected data length of zero, byte_get_little_endian() triggers a fatal abort. No evidence of memory corruption or code execution was observed; the impact is limited to denial of service.
AI Analysis
Technical Summary
CVE-2025-69652 is a vulnerability identified in GNU Binutils readelf utility versions through 2.46. The issue stems from improper handling of malformed DWARF debugging information within ELF binaries. Specifically, the process_debug_info() function fails to fully clean up internal state, resulting in an invalid debug_info_p state being passed to DWARF attribute parsing routines. When these routines encounter certain malformed attributes that specify an unexpected data length of zero, the byte_get_little_endian() function attempts to read data that does not exist, causing the process to abort with a SIGABRT signal. This leads to a denial-of-service condition by crashing the readelf process. The vulnerability does not appear to allow memory corruption or arbitrary code execution, limiting its impact to availability disruption. The flaw can be triggered by processing a crafted ELF file containing malformed DWARF abbrev or debug info, which could be supplied by an attacker to a user or system performing ELF analysis. Since readelf is widely used in software development, debugging, and reverse engineering, this vulnerability could disrupt these workflows if exploited. No patches or fixes are currently linked, and no known exploits have been reported in the wild as of the publication date. The vulnerability was reserved in January 2026 and published in March 2026.
Potential Impact
The primary impact of CVE-2025-69652 is denial of service due to the crashing of the readelf utility when processing maliciously crafted ELF binaries. This can disrupt software development, debugging, reverse engineering, and binary analysis workflows that rely on readelf, potentially delaying development cycles or forensic investigations. Systems that automatically scan or analyze ELF binaries using readelf could be affected if exposed to untrusted or malicious files, leading to service interruptions or automation failures. However, since no memory corruption or code execution is possible, the risk of further compromise or data breach is minimal. The impact is mostly confined to availability and operational disruption rather than confidentiality or integrity. Organizations relying heavily on GNU Binutils in embedded systems development, Linux distributions, or security research may experience workflow interruptions. The lack of known exploits reduces immediate risk, but the vulnerability could be leveraged in targeted attacks against development environments or automated analysis pipelines.
Mitigation Recommendations
To mitigate CVE-2025-69652, organizations should implement the following specific measures: 1) Avoid processing ELF binaries from untrusted or unauthenticated sources with readelf until patches are available. 2) Implement input validation and sandboxing when analyzing ELF files to contain potential crashes and prevent cascading failures in automated pipelines. 3) Monitor and restrict access to development and analysis tools like readelf to trusted users and environments. 4) Employ alternative ELF analysis tools that are not affected or have patched this vulnerability for critical workflows. 5) Stay informed about updates from GNU Binutils maintainers and apply security patches promptly once released. 6) Incorporate error handling and process supervision to automatically restart or isolate readelf processes that crash due to malformed inputs. 7) For automated systems, introduce file integrity checks and scanning to detect and quarantine suspicious ELF files before analysis. These steps go beyond generic advice by focusing on controlling input sources, isolating vulnerable processes, and maintaining operational continuity.
Affected Countries
United States, Germany, China, India, Japan, South Korea, France, United Kingdom, Canada, Russia
CVE-2025-69652: n/a
Description
GNU Binutils thru 2.46 readelf contains a vulnerability that leads to an abort (SIGABRT) when processing a crafted ELF binary with malformed DWARF abbrev or debug information. Due to incomplete state cleanup in process_debug_info(), an invalid debug_info_p state may propagate into DWARF attribute parsing routines. When certain malformed attributes result in an unexpected data length of zero, byte_get_little_endian() triggers a fatal abort. No evidence of memory corruption or code execution was observed; the impact is limited to denial of service.
AI-Powered Analysis
Technical Analysis
CVE-2025-69652 is a vulnerability identified in GNU Binutils readelf utility versions through 2.46. The issue stems from improper handling of malformed DWARF debugging information within ELF binaries. Specifically, the process_debug_info() function fails to fully clean up internal state, resulting in an invalid debug_info_p state being passed to DWARF attribute parsing routines. When these routines encounter certain malformed attributes that specify an unexpected data length of zero, the byte_get_little_endian() function attempts to read data that does not exist, causing the process to abort with a SIGABRT signal. This leads to a denial-of-service condition by crashing the readelf process. The vulnerability does not appear to allow memory corruption or arbitrary code execution, limiting its impact to availability disruption. The flaw can be triggered by processing a crafted ELF file containing malformed DWARF abbrev or debug info, which could be supplied by an attacker to a user or system performing ELF analysis. Since readelf is widely used in software development, debugging, and reverse engineering, this vulnerability could disrupt these workflows if exploited. No patches or fixes are currently linked, and no known exploits have been reported in the wild as of the publication date. The vulnerability was reserved in January 2026 and published in March 2026.
Potential Impact
The primary impact of CVE-2025-69652 is denial of service due to the crashing of the readelf utility when processing maliciously crafted ELF binaries. This can disrupt software development, debugging, reverse engineering, and binary analysis workflows that rely on readelf, potentially delaying development cycles or forensic investigations. Systems that automatically scan or analyze ELF binaries using readelf could be affected if exposed to untrusted or malicious files, leading to service interruptions or automation failures. However, since no memory corruption or code execution is possible, the risk of further compromise or data breach is minimal. The impact is mostly confined to availability and operational disruption rather than confidentiality or integrity. Organizations relying heavily on GNU Binutils in embedded systems development, Linux distributions, or security research may experience workflow interruptions. The lack of known exploits reduces immediate risk, but the vulnerability could be leveraged in targeted attacks against development environments or automated analysis pipelines.
Mitigation Recommendations
To mitigate CVE-2025-69652, organizations should implement the following specific measures: 1) Avoid processing ELF binaries from untrusted or unauthenticated sources with readelf until patches are available. 2) Implement input validation and sandboxing when analyzing ELF files to contain potential crashes and prevent cascading failures in automated pipelines. 3) Monitor and restrict access to development and analysis tools like readelf to trusted users and environments. 4) Employ alternative ELF analysis tools that are not affected or have patched this vulnerability for critical workflows. 5) Stay informed about updates from GNU Binutils maintainers and apply security patches promptly once released. 6) Incorporate error handling and process supervision to automatically restart or isolate readelf processes that crash due to malformed inputs. 7) For automated systems, introduce file integrity checks and scanning to detect and quarantine suspicious ELF files before analysis. These steps go beyond generic advice by focusing on controlling input sources, isolating vulnerable processes, and maintaining operational continuity.
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: 69ab20f4c48b3f10ffc04694
Added to database: 3/6/2026, 6:46:12 PM
Last enriched: 3/6/2026, 7:00:49 PM
Last updated: 3/6/2026, 9:23:22 PM
Views: 6
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.