{"uuid": "91a573a5-06f8-4114-bccb-f7f7f91ee167", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "GHSA-GHJW-32XW-FFWR", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/10568", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2024-47827\n\ud83d\udd25 CVSS Score: 5.7 (cvssV3_1, Vector: CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)\n\ud83d\udd39 Description: Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Due to a race condition in a global variable in 3.6.0-rc1, the argo workflows controller can be made to crash on-command by any user with access to execute a workflow. This vulnerability is fixed in 3.6.0-rc2.\n\ud83d\udccf Published: 2024-10-28T15:10:55.772Z\n\ud83d\udccf Modified: 2025-04-04T20:43:57.325Z\n\ud83d\udd17 References:\n1. https://github.com/argoproj/argo-workflows/security/advisories/GHSA-ghjw-32xw-ffwr\n2. https://github.com/argoproj/argo-workflows/pull/13641\n3. https://github.com/argoproj/argo-workflows/commit/524406451f4dfa57bf3371fb85becdb56a2b309a\n4. https://github.com/argoproj/argo-workflows/blob/ce7f9bfb9b45f009b3e85fabe5e6410de23c7c5f/workflow/metrics/metrics_k8s_request.go#L75", "creation_timestamp": "2025-04-04T21:36:22.000000Z"}