CVE-2026-118761
Description détaillée
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server decompressed uploaded pipeline archives without adequately bounding expanded data while locating or reading the pipeline file. A small ZIP or gzip-compressed tar archive can consume disproportionately large memory and exhaust API-server resources. Multipart pipeline and pipeline-version upload processing performs decompression before namespace authorization, so a reachable caller does not need a successful pipeline-create authorization decision. URL-import handlers authorize before fetching and decompressing a remote archive. The amount of expansion required to interrupt service depends on deployment resource limits and concurrent activity, and no specific archive is guaranteed to crash every deployment. This issue is fixed in version 2.18.0.
Vecteur d'attaque (CVSS)
Références et Patchs
Dernières Vulnérabilités
CVE-2026-9536
A heap-based buffer overflow vulnerability exists in the vtkWindBladeReader FindVariableOffsets functionality of vtk (version(s): 9.6.1). A specially crafted .wind can lead to a buffer overflow. An attacker can provide a malicious file to trigger this vulnerability.
CVE-2026-9535
A out-of-bounds read vulnerability exists in the vtkChacoReader InputGraph2 functionality of vtk (version(s): 9.6.1). A specially crafted chaco can lead to an out-of-bounds read. An attacker can provide a malicious file to trigger this vulnerability.
CVE-2026-8824
A memory corruption vulnerability exists in the vtkBMPReader ExecuteDataWithInformation functionality of vtk (version(s): 9.6.1). A specially crafted .bmp file can lead to a buffer overflow. An attacker can provide a malicious file to trigger this vulnerability.