Rapid7 Velociraptor Improper Input Validation in Client Message Handler

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Summary

CVECVE-2026-5329
StatePUBLISHED
Assignerrapid7
Source PriorityCVE Program / NVD first with legacy fallback
Published2026-04-09 18:17:04 UTC
Updated2026-04-09 18:17:04 UTC
DescriptionRapid7 Velociraptor versions prior to 0.76.2 contain an improper input validation vulnerability in the client monitoring message handler on the Velociraptor server (primarily Linux) that allows an authenticated remote attacker to write to arbitrary internal server queues via a crafted monitoring message with a malicious queue name. The server handler that receives client monitoring messages does not sufficiently validate the queue name supplied by the client, allowing a rogue client to write arbitrary messages to privileged internal queues. This may lead to remote code execution on the Velociraptor server. Rapid7 Hosted Velociraptor instances are not affected by this vulnerability.

Risk And Classification

Primary CVSS: v3.1 8.5 HIGH from [email protected]

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

Problem Types: CWE-20 | CWE-20 CWE-20 Improper input validation

VersionSourceTypeScoreSeverityVector
3.1[email protected]Secondary8.5HIGHCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
3.1CNACVSS8.5HIGHCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

CVSS v3.1 Breakdown

Attack Vector
Network
Attack Complexity
High
Privileges Required
Low
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

Vendor Declared Affected Products

SourceVendorProductVersionPlatforms
CNA Rapid7 Velociraptor affected 0.76.1 semver Linux
CNA Rapid7 Velociraptor affected 0.75.6 semver Linux
CNA Rapid7 Velociraptor affected 0.74.6 semver Linux

References

ReferenceSourceLinkTags
docs.velociraptor.app/announcements/advisories/cve-2026-5329 [email protected] docs.velociraptor.app
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Vendor Comments And Credit

Discovery Credit

CNA: We thank Chris Au (@netero_1010) from NyxLab for identifying and reporting this issue. (en)

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