CVE-2026-81884: CWE-125: Out-of-bounds Read in radareorg radare2
radare2 is a UNIX-like reverse engineering framework and command-line toolset. Prior to 6.2.0, radare2's Mach-O LC_DATA_IN_CODE parser was vulnerable because the Mach-O LC_DATA_IN_CODE parser trusted dataoff and datasize and allowed a final partial record to be processed. The vulnerability is triggered by opening a crafted Mach-O file while the non-default bin.verbose option is enabled. When datasize was not a multiple of data_in_code_entry, the last iteration read beyond the allocated buffer. This can cause a heap out-of-bounds read and possible process termination; no attacker-observable memory disclosure has been demonstrated. This issue is fixed in version 6.2.0.
AI Analysis
Technical Summary
The vulnerability in radare2's Mach-O LC_DATA_IN_CODE parser arises because it trusts the dataoff and datasize fields and allows processing of a final partial record. When datasize is not a multiple of the data_in_code_entry size, the last iteration reads beyond the allocated buffer, causing a heap out-of-bounds read. This occurs when opening a crafted Mach-O file with bin.verbose enabled. The flaw can lead to process termination but no attacker-observable memory disclosure has been shown. The issue is resolved in radare2 version 6.2.0.
Potential Impact
The vulnerability can cause a heap out-of-bounds read leading to possible process termination (denial of service). There is no evidence of memory disclosure or other impacts. The CVSS score is 2.5 (low severity), reflecting limited impact and the requirement for local access with user interaction.
Mitigation Recommendations
Upgrade radare2 to version 6.2.0 or later, where this vulnerability is fixed. Until then, avoid opening crafted Mach-O files with the bin.verbose option enabled. No other mitigations are indicated.
CVE-2026-81884: CWE-125: Out-of-bounds Read in radareorg radare2
Description
radare2 is a UNIX-like reverse engineering framework and command-line toolset. Prior to 6.2.0, radare2's Mach-O LC_DATA_IN_CODE parser was vulnerable because the Mach-O LC_DATA_IN_CODE parser trusted dataoff and datasize and allowed a final partial record to be processed. The vulnerability is triggered by opening a crafted Mach-O file while the non-default bin.verbose option is enabled. When datasize was not a multiple of data_in_code_entry, the last iteration read beyond the allocated buffer. This can cause a heap out-of-bounds read and possible process termination; no attacker-observable memory disclosure has been demonstrated. This issue is fixed in version 6.2.0.
CVSS v3.1
Score 2.5low
Affected software
radareorg
radare2
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in radare2's Mach-O LC_DATA_IN_CODE parser arises because it trusts the dataoff and datasize fields and allows processing of a final partial record. When datasize is not a multiple of the data_in_code_entry size, the last iteration reads beyond the allocated buffer, causing a heap out-of-bounds read. This occurs when opening a crafted Mach-O file with bin.verbose enabled. The flaw can lead to process termination but no attacker-observable memory disclosure has been shown. The issue is resolved in radare2 version 6.2.0.
Potential Impact
The vulnerability can cause a heap out-of-bounds read leading to possible process termination (denial of service). There is no evidence of memory disclosure or other impacts. The CVSS score is 2.5 (low severity), reflecting limited impact and the requirement for local access with user interaction.
Mitigation Recommendations
Upgrade radare2 to version 6.2.0 or later, where this vulnerability is fixed. Until then, avoid opening crafted Mach-O files with the bin.verbose option enabled. No other mitigations are indicated.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-08-27T17:48:42.122Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6ab29c3cf7a7c54106580d68
Added to database: 09/22/2026, 15:18:20 UTC
Last enriched: 09/22/2026, 15:32:46 UTC
Last updated: 09/22/2026, 15:50:49 UTC
Views: 5
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