Argo Workflows: Unauthenticated Memory Exhaustion (DoS) in Webhook Interceptor

Summary

CVECVE-2026-42294
StatePUBLISHED
AssignerGitHub_M
Source PriorityCVE Program / NVD first with legacy fallback
Published2026-05-09 04:16:24 UTC
Updated2026-06-30 03:19:36 UTC
DescriptionArgo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Prior to versions 3.7.14 and 4.0.5, the Webhook Interceptor loads the entire request body into memory before authenticating the request or verifying its signature. This occurs on the /api/v1/events/ endpoint, which is publicly accessible (albeit intended for webhooks). An attacker can send a request with an extremely large body (e.g., multiple gigabytes), causing the Argo Server to allocate excessive memory, potentially leading to an Out-Of-Memory (OOM) crash and denial of service. This issue has been patched in versions 3.7.14 and 4.0.5.

Risk And Classification

Primary CVSS: v4.0 8.2 HIGH from [email protected]

CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

EPSS: 0.000420000 probability, percentile 0.128600000 (date 2026-05-12)

Problem Types: CWE-770 | CWE-770 CWE-770: Allocation of Resources Without Limits or Throttling | CWE-770 Allocation of Resources Without Limits or Throttling


VersionSourceTypeScoreSeverityVector
4.0[email protected]Secondary8.2HIGHCVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/C...
4.0CNADECLARED8.2HIGHCVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
3.1[email protected]Primary7.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.1ADPCVSS7.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.10b0ca135-0b70-47e7-9f44-1890c2a1c46cSecondary7.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v4.0 Breakdown

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
Present
Privileges Required
None
User Interaction
None
Confidentiality
None
Integrity
None
Availability
High
Sub Conf.
None
Sub Integrity
None
Sub Availability
None

CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

CVSS v3.1 Breakdown

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

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

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Argoproj Argo Workflows All All All All

Vendor Declared Affected Products

SourceVendorProductVersionPlatforms
CNA Argoproj Argo-workflows affected < 3.7.14 Not specified
CNA Argoproj Argo-workflows affected >= 4.0.0, < 4.0.5 Not specified
ADP Red Hat Red Hat OpenShift AI RHOAI Not specified Not specified

References

ReferenceSourceLinkTags
github.com/argoproj/argo-workflows/security/advisories/GHSA-jcc8-g2q4-9fxq 134c704f-9b21-4f2e-91b3-4a467353bcc0 github.com Exploit, Vendor Advisory
github.com/argoproj/argo-workflows/commit/7abb4de6c3599e2d5d960ba4d5de4c... [email protected] github.com Patch
github.com/argoproj/argo-workflows/releases/tag/v3.7.14 [email protected] github.com Release Notes
github.com/argoproj/argo-workflows/releases/tag/v4.0.5 [email protected] github.com Release Notes
access.redhat.com/security/cve/CVE-2026-42294 0b0ca135-0b70-47e7-9f44-1890c2a1c46c access.redhat.com
bugzilla.redhat.com/show_bug.cgi 0b0ca135-0b70-47e7-9f44-1890c2a1c46c bugzilla.redhat.com
security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-42294.json 0b0ca135-0b70-47e7-9f44-1890c2a1c46c security.access.redhat.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Additional Advisory Data

SourceTimeEvent
ADP2026-05-09T05:01:16.989ZReported to Red Hat.
ADP2026-05-09T03:45:48.180ZMade public.

Workarounds

ADP: Upgrade Argo Workflows to version 3.7.14 or later (3.x line) or 4.0.5 or later (4.x line) in affected Red Hat OpenShift AI releases. Red Hat OpenShift AI engineering is expected to deliver updated Data Science Pipelines builds for affected streams (rhoai-2.25, rhoai-3.3, rhoai-3.4). Until updated images are available, restrict network access to the Argo Server webhook endpoint (/api/v1/events/) using Ingress rules, firewall policies, or Kubernetes NetworkPolicy so only trusted webhook sources can reach it. Configure request body size limits at the Ingress or load balancer layer (for example, a maximum body size well below multi-gigabyte payloads) to reduce the risk of memory exhaustion from oversized requests.

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