PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-81884 radareorg CVE debrief

A heap out-of-bounds read vulnerability exists in radare2's Mach-O LC_DATA_IN_CODE parser prior to version 6.2.0. The vulnerability is triggered by opening a crafted Mach-O file while the non-default bin.verbose option is enabled. This can cause a process termination; however, no attacker-observable memory disclosure has been demonstrated. The vulnerability exists due to the parser trusting dataoff and datasize, allowing a final partial record to be processed, which can lead to reading beyond the allocated buffer.

Vendor
radareorg
Product
radare2
CVSS
LOW 2.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-22
Original CVE updated
2026-09-28
Advisory published
2026-09-22
Advisory updated
2026-09-28

Who should care

Defenders responsible for systems and tools utilizing radare2 for reverse engineering tasks, especially in environments handling Mach-O files, should assess exposure and verify radare2 version 6.2.0 or later. This includes operators, platform administrators, vulnerability management teams, and security teams who need to ensure the secure use of radare2.

Why it matters

Defenders should prioritize verifying radare2 version 6.2.0 or later for systems and tools utilizing radare2 for reverse engineering tasks, especially in environments handling Mach-O files, to prevent potential process termination due to heap out-of-bounds read.

  • Process termination due to heap out-of-bounds read
  • Verification of radare2 version 6.2.0 or later is required
  • Restrict access to crafted Mach-O files to prevent exploitation

Technical summary

The vulnerability exists in radare2's Mach-O LC_DATA_IN_CODE parser prior to version 6.2.0. Opening a crafted Mach-O file with the non-default bin.verbose option enabled triggers the vulnerability, potentially leading to process termination. The parser's trust in dataoff and datasize allows a final partial record to be processed, which can cause a heap out-of-bounds read. No attacker-observable memory disclosure has been demonstrated. The issue is fixed in version 6.2.0, and defenders should prioritize verifying radare2 version 6.2.0 or later for systems and tools utilizing radare2 for reverse engineering tasks.

Defensive priority

Defenders should prioritize verifying radare2 version 6.2.0 or later for systems and tools utilizing radare2 for reverse engineering tasks, especially in environments handling Mach-O files.

Recommended defensive actions

  • Verify radare2 version 6.2.0 or later is in use
  • Restrict access to crafted Mach-O files
  • Enable bin.verbose option only when necessary
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. Vendor advisory and patch information are available through GitHub. The vulnerability was fixed in version 6.2.0. Defenders should verify radare2 version 6.2.0 or later for systems and tools utilizing radare2 for reverse engineering tasks, especially in environments handling Mach-O files.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-81884 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-81884

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-81884 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-81884

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.