Статьи Support
🚨 CVE-2026-88983
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server's pipeline and pipeline-version creation paths fetch a caller-supplied pipelineURL without restricting the destination. An authenticated caller...
🚨 CVE-2026-88985
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server trusts structural SQL identifier fields decoded from the base64-encoded JSON page_token parameter before constructing list queries. An attacker who...
🚨 CVE-2026-88986
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.15.0, the frontend routes /pipeline/k8s/pod and /pipeline/k8s/pod/events use frontend/server/k8s-helper.ts to include untrusted podname and podnamespace query values...
🚨 CVE-2026-77596
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the multi-user HTTP endpoints POST /apis/v2beta1/pipelines/upload and POST /apis/v2beta1/pipelines/upload_version call canUploadVersionedPipeline, which returns...
🚨 CVE-2026-88979
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. From 2.17.0 until 2.18.0, the TensorBoard proxy token introduced by the incomplete remediation for CVE-2026-54745 uses MINIO_SECRET_KEY as its HMAC secret, whose bundled default...
🚨 CVE-2026-88980
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the frontend GET /artifacts/get route accepts source=http or source=https with caller-controlled bucket and key values, and isAllowedResourceName permits an...
🚨 CVE-2026-88981
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the frontend artifact download path for source=s3 or source=minio accepts providerInfo.Params.endpoint, and the archived pod-log path accepts S3-compatible...
🚨 CVE-2026-88982
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the legacy V1/raw-Argo execution cache mutating webhook and cache-server storage path hash selected template fields without the Kubernetes namespace, use the key...
🚨 CVE-2026-88984
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.16.1, the multi-user API server treats the empty namespace used by shared or global pipelines as an authorization exception for modification and deletion operations. An...
🚨 CVE-2026-123276
In JetBrains CLion before 2026.3,
2026.2.4.1 code execution was possible in Safe Mode via a crafted GDB server debug profile
🚨 CVE-2026-123277
In JetBrains CLion before 2026.3,
2026.2.4.1 missing authentication allowed local users to obtain the debug session environment on Linux
🚨 CVE-2026-123278
In JetBrains IntelliJ IDEA before 2026.3 code execution was possible via the unauthenticated JDBC worker RMI endpoint
🚨 CVE-2026-123279
In JetBrains Datalore before 2026.4 code execution was possible in a notebook's computation by view-only collaborators
🚨 CVE-2026-123280
In JetBrains Datalore before 2026.2.4 unauthenticated users could execute code via published interactive reports
🚨 CVE-2026-123281
In JetBrains Datalore before 2026.4 notebook code could execute commands in the sidecar container via the mount broker
🚨 CVE-2026-123282
In JetBrains Datalore before 2026.4 missing expiration validation of account tokens allowed a new authenticated session
🚨 CVE-2026-123283
In JetBrains Datalore before 2026.4 account takeover was possible via SSO sign-in to a pre-registered account
🚨 CVE-2026-123284
In JetBrains Datalore before 2026.4 improper authorisation on workspace moves allowed view-only collaborators to modify shared content
🚨 CVE-2026-123285
In JetBrains Datalore before 2026.3 command execution was possible in the database task container via JVM options injection
🚨 CVE-2026-123287
In JetBrains Datalore before 2026.4 private notebook files could be downloaded without authentication via published interactive reports
Автоматический гарант это финансовая безопасность: Покупатель может быть уверен, что его деньги не попадут к продавцу до того, как он получит и проверит товар или услугу. Продавец, в свою очередь, защищен от не оплаты, так как гарант подтверждает наличие средств у покупателя до начала выполнения обязательств.