CVE-2026-28356
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Description
A flaw was found in multipart. The parse_options_header function in multipart.py uses a regular expression with an ambiguous alternation, causing an exponential backtracking (ReDoS) when parsing a specially crafted HTTP or multipart segment headers. A web application parsing request headers or multipart/form-data streams can block request handling threads for multiple seconds per request, eventually resulting in a denial of service.
Statement
This issue is only exploitable in applications using the multipart.parse_form_data function directly or indirectly when parsing request headers or multipart/form-data streams. Also, the security impact of this flaw is limited to a denial of service, there is no corruption of memory or arbitrary code execution. Due to these reasons, this vulnerability has been rated with an important severity.
Mitigation
Red Hat has investigated whether a possible mitigation exists for this issue, and has not been able to identify a practical example. Please update the affected package as soon as possible.
Additional Information
- This content is not included.Bugzilla 2447059: multipart: denial of service via maliciously crafted HTTP or multipart segment headers
- Content from cwe.mitre.org is not included.CWE-1333: Inefficient Regular Expression Complexity
- FAQ: Frequently asked questions about CVE-2026-28356
- Offline Security Data data is available for integration with other systems. See Offline Security Data API to get started.
External References
Content from www.cve.org is not included.https://www.cve.org/CVERecord?id=CVE-2026-28356
Content from nvd.nist.gov is not included.https://nvd.nist.gov/vuln/detail/CVE-2026-28356
Affected Packages and Issued Red Hat Security Errata
| Products / Services | Components | State | Errata |
|---|---|---|---|
| Lightspeed Core | lightspeed-core/lightspeed-stack-rhel9 | Affected | |
| Lightspeed Core | lightspeed-core/rag-tool-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-ocp-rag-rhel9 | Not affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-service-api-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-cpu-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaiis/vllm-spyre-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaiis/vllm-neuron-rhel9 | Will not fix | |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-cuda-rhel9 | Fixed | RHSA-2026:5809 |
| Red Hat AI Inference Server 3.2 | rhaiis/model-opt-cuda-rhel9 | Fixed | RHSA-2026:6761 |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-rocm-rhel9 | Fixed | RHSA-2026:6762 |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-25/lightspeed-chatbot-rhel8 | Not affected | |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-26/lightspeed-chatbot-rhel9 | Not affected | |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-26/mcp-tools-rhel9 | Not affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-aws-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-azure-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-azure-rocm-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-gcp-cuda-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-rocm-rhel9 | Affected | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/disk-image-cuda-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-caikit-nlp-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-cpu-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-cuda-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-rocm-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-agent-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-controller-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-router-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-storage-initializer-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-llama-stack-core-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlflow-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlserver-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-gaudi-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 | Not affected | |
| Red Hat OpenShift AI 2.25 | rhoai/odh-caikit-tgis-serving-rhel9 | Fixed | RHSA-2026:10184 |
| Red Hat OpenShift AI 2.25 | rhoai/odh-feature-server-rhel9 | Fixed | RHSA-2026:10184 |
| Red Hat Satellite 6 | satellite/foreman-mcp-server-rhel9 | Affected | |
| Red Hat Satellite 6 | satellite/iop-advisor-engine-rhel9 | Affected | |
| Red Hat Satellite 6 | satellite/iop-host-inventory-rhel9 | Affected | |
| Red Hat Satellite 6 | satellite/iop-vmaas-rhel9 | Affected | |
| Red Hat Satellite 6 | satellite/iop-vulnerability-engine-rhel9 | Affected |
Common Vulnerability Scoring System (CVSS) Score Details
Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authorities (CNA) source for its products and services (see Red Hat classifications ).
| CVSS v3 Score Breakdown | Red Hat | NVD |
|---|---|---|
| CVSS v3 Base Score | 7.5 | |
| Attack Vector | Network | |
| Attack Complexity | Low | |
| Privileges Required | None | |
| User Interaction | None | |
| Scope | Unchanged | |
| Confidentiality Impact | None | |
| Integrity Impact | None | |
| Availability Impact | High |
CVSS v3 Vector
Red Hat CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Frequently Asked Questions
Why is Red Hat's CVSS v3 score or Impact different from other vendors?
For more information, see https://access.redhat.com/solutions/762393.
My product is listed as "Under investigation" or "Affected", when will Red Hat release a fix for this vulnerability?
- "Under investigation" doesn't necessarily mean that the product is affected by this vulnerability. It only means that our Analysis Team is still working on determining whether the product is affected and how it is affected.
- "Affected" means that our Analysis Team has determined that this product is affected by this vulnerability and might release a fix to address this in the near future.
What can I do if my product is listed as "Will not fix"?
Available options depend mostly on the Impact of the vulnerability and the current Life Cycle phase of your product. Overall, you have the following options:
- Upgrade to a supported product version that includes a fix for this vulnerability (recommended).
- Apply a mitigation (if one exists).
- Open a This content is not included.support case to request a prioritization of releasing a fix for this vulnerability.
What can I do if my product is listed as "Fix deferred"?
Available options depend mostly on the Impact of the vulnerability and the current Life Cycle phase of your product. Overall, you have the following options:
- Apply a mitigation (if one exists).
- Open a This content is not included.support case to request a prioritization of releasing a fix for this vulnerability.
- Red Hat Engineering focuses on addressing high-priority issues based on their complexity or limited lifecycle support. Therefore, lower-priority issues will not receive immediate fixes.
What is a mitigation?
I have a Red Hat product but it is not in the above list, is it affected?
Why is my security scanner reporting my product as vulnerable to this vulnerability even though my product version is fixed or not affected?
My product is listed as "Out of Support Scope". What does this mean?
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