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CVE-2023-29146 Malwarebytes CVE debrief

CVE-2023-29146 is a vulnerability in Malwarebytes EDR 1.0.11 on Linux. The utility functions used for calculating a cryptographic hash of data bytes truncate the hashed data if it exceeds 4GB. This leads to an integer wrap-around if the data is larger than the maximum unsigned integer value (32-bit). Attackers could create a colliding hash value for two different strings by attaching 4GB of data to a string that is less than 4GB in size. The CVSS score for this vulnerability is 8.2, indicating a HIGH severity.

Vendor
Malwarebytes
Product
Malwarebytes EDR
CVSS
HIGH 8.2
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-09
Original CVE updated
2026-06-09
Advisory published
2026-06-09
Advisory updated
2026-06-09

Who should care

Users of Malwarebytes EDR 1.0.11 on Linux should be aware of this vulnerability and take steps to mitigate it.

Technical summary

The vulnerability is caused by the truncation of hashed data if it exceeds 4GB, leading to an integer wrap-around. This allows attackers to create colliding hash values.

Defensive priority

HIGH

Recommended defensive actions

  • Apply patches or updates provided by Malwarebytes to fix the vulnerability.
  • Use alternative hash functions that do not have this limitation.

Evidence notes

The CVE record and NVD detail can be found at [cve-org] and [nvd], respectively. Additional information can be found at [ref-4].

Sources and references

Verified primary and authoritative sources

  • CVE-2023-29146 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2023-29146

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

  • CVE-2023-29146 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2023-29146

    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.