CVE-2023-25584 Overview
An out-of-bounds read vulnerability has been identified in the parse_module function within bfd/vms-alpha.c in GNU Binutils. This memory safety flaw allows attackers to potentially access sensitive memory contents or cause application crashes when processing specially crafted VMS Alpha object files. The vulnerability affects the Binary File Descriptor (BFD) library, a core component used by various GNU development tools including objdump, readelf, and the linker.
Critical Impact
Successful exploitation could result in unauthorized disclosure of sensitive memory contents or denial of service through application crashes when parsing malicious VMS Alpha binary files.
Affected Products
- GNU Binutils (all versions prior to the security patch)
- Development toolchains incorporating vulnerable Binutils versions
- Systems utilizing BFD library for binary analysis
Discovery Timeline
- 2023-09-14 - CVE-2023-25584 published to NVD
- 2024-11-21 - Last updated in NVD database
Technical Details for CVE-2023-25584
Vulnerability Analysis
This vulnerability is classified as CWE-125 (Out-of-Bounds Read), a memory safety issue that occurs when the parse_module function in the VMS Alpha binary format handler reads data beyond the boundaries of allocated memory buffers. The flaw exists in the BFD (Binary File Descriptor) library's handling of VMS Alpha object files, which is a specialized format used primarily on OpenVMS systems running on Alpha processors.
The attack requires local access and user interaction, meaning an attacker must convince a user to open or process a maliciously crafted binary file using tools that leverage the vulnerable BFD library. When triggered, the vulnerability can expose sensitive information from process memory or cause the application to crash, resulting in denial of service.
Root Cause
The root cause of this vulnerability lies in insufficient bounds checking within the parse_module function when processing VMS Alpha module records. The function fails to properly validate buffer boundaries before reading module data, allowing read operations to extend beyond the allocated memory region. This type of memory safety issue is common in C codebases that manually manage memory and process complex binary formats with variable-length fields.
Attack Vector
The attack vector is local, requiring an attacker to either have direct access to the target system or deliver a malicious binary file to a user who then processes it with a vulnerable Binutils tool. The exploitation scenario typically involves:
- Crafting a malicious VMS Alpha object file with manipulated module record structures
- Delivering the file to a target user through social engineering or other means
- The target user processes the file using tools like objdump, readelf, or the linker
- The out-of-bounds read is triggered, potentially leaking sensitive memory contents or causing a crash
The vulnerability affects confidentiality and availability but does not allow for arbitrary code execution or memory modification based on the current analysis.
Detection Methods for CVE-2023-25584
Indicators of Compromise
- Unexpected crashes or segmentation faults when processing VMS Alpha binary files with GNU Binutils tools
- Unusual memory access patterns or errors reported by memory debugging tools during binary analysis operations
- Error messages related to malformed or corrupted VMS Alpha module records in Binutils tool output
Detection Strategies
- Monitor for anomalous behavior in development environments where Binutils tools are frequently used
- Implement file integrity monitoring to detect suspicious binary files with unusual VMS Alpha format characteristics
- Deploy runtime memory protection tools (AddressSanitizer, Valgrind) in development environments to catch out-of-bounds access attempts
- Review system logs for repeated crashes of Binutils utilities that may indicate exploitation attempts
Monitoring Recommendations
- Track version information of installed Binutils packages across development infrastructure
- Implement alerts for unexpected termination of Binutils tools in CI/CD pipelines
- Monitor for unusual file access patterns involving VMS Alpha binary files in environments where this format is not typically used
- Utilize SentinelOne's endpoint detection capabilities to identify anomalous behavior associated with binary analysis tools
How to Mitigate CVE-2023-25584
Immediate Actions Required
- Update GNU Binutils to the latest patched version that includes the security fix
- Review and restrict access to development tools in production environments
- Avoid processing untrusted binary files with potentially vulnerable Binutils versions
- Consider using containerized or sandboxed environments when analyzing untrusted binaries
Patch Information
The vulnerability has been addressed in a patch committed to the Binutils repository. The fix is available in commit 77c225bdeb410cf60da804879ad41622f5f1aa44 and can be reviewed in the Sourceware Git Commit Details. Additional information is available through the Red Hat Bug Report and the NetApp Security Advisory.
Organizations should apply updates from their respective Linux distribution vendors as they become available. For Red Hat Enterprise Linux users, consult the Red Hat CVE Advisory for distribution-specific guidance.
Workarounds
- Restrict the use of Binutils tools to trusted binary files only until patches can be applied
- Implement file validation and sandboxing for any binary analysis workflows involving untrusted inputs
- Use alternative binary analysis tools that are not affected by this vulnerability when processing potentially malicious files
- Deploy runtime memory protection mechanisms to mitigate potential exploitation attempts
# Verify Binutils version and update on Debian/Ubuntu
dpkg -l binutils
sudo apt update && sudo apt upgrade binutils
# Verify Binutils version and update on RHEL/CentOS
rpm -q binutils
sudo yum update binutils
# For source builds, apply the security patch
git fetch origin
git cherry-pick 77c225bdeb410cf60da804879ad41622f5f1aa44
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


