CVE-2026-54283
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Last Modified:
Description
A flaw was found in Starlette where the request.form() method silently ignores configured resource limits (max_fields and max_part_size) when parsing application/x-www-form-urlencoded data. An unauthenticated attacker can exploit this by sending a urlencoded request body with an arbitrarily large number of fields or an oversized field, causing denial of service through resource exhaustion.
Statement
A flaw was found in Starlette where the request.form() method silently ignores configured resource limits (max_fields and max_part_size) when parsing application/x-www-form-urlencoded data. An unauthenticated attacker can exploit this by sending a urlencoded request body with an arbitrarily large number of fields or an oversized field, causing denial of service through resource exhaustion. This only affects applications that explicitly call request.form() on urlencoded input; JSON-only APIs and services where Starlette is a transitive dependency not used for form parsing are not affected.
Mitigation
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.
Additional information
- This content is not included.Bugzilla 2491440: starlette: Starlette: request.form() limits silently ignored for application/x-www-form-urlencoded enable DoS
- Content from cwe.mitre.org is not included.CWE-770: Allocation of Resources Without Limits or Throttling
External References
Affected Packages and Issued Red Hat Security Errata
Unless explicitly stated as not affected, all previous versions of packages in any minor update stream of a product listed here should be assumed vulnerable, although may not have been subject to full analysis.
| Products / Services | Components | State | Errata |
|---|---|---|---|
| Exploit Intelligence | exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-service-api-rhel9 | Affected | |
| OpenShift Lightspeed | openshift-lightspeed/lightspeed-ocp-rag-rhel9 | Not affected | |
| Red Hat AI Inference Server | rhaii/vllm-cpu-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaii/vllm-spyre-rhel9 | Affected | |
| Red Hat AI Inference Server | rhaii/vllm-gaudi-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaii/vllm-neuron-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaii/vllm-tpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-cpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-neuron-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-spyre-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-cuda-rhel9 | Fixed | RHSA-2026:36005 |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-rocm-rhel9 | Fixed | RHSA-2026:36006 |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-26/lightspeed-chatbot-rhel9 | Affected | |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-27/lightspeed-chatbot-rhel9 | Affected | |
| Red Hat Ansible Automation Platform 2 | ansible-automation-platform-25/lightspeed-chatbot-rhel8 | Will not fix | |
| Red Hat Ansible Automation Platform 2.6 | ansible-automation-platform-26/mcp-tools-rhel9 | Fixed | RHSA-2026:42132 |
| Red Hat Ansible Automation Platform 2.7 | ansible-automation-platform-27/mcp-tools-rhel9 | Fixed | RHSA-2026:42142 |
| 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-gaudi-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 Enterprise Linux command line assistant | rhel-cla/rhel-knowledge-bridge-rhel10 | Not affected | |
| Red Hat Hardened Images | jaeger | Not affected | |
| Red Hat Migration Toolkit for Applications 8.2 | mta/mta-solution-server-rhel9 | Fixed | RHSA-2026:43038 |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-automl-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-built-in-detector-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-caikit-nlp-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-caikit-tgis-serving-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-feature-server-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-autogluon-server-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-llama-stack-core-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlflow-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-mlserver-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-th06-cpu-torch210-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-th06-cuda130-torch210-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-th06-rocm64-torch291-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-training-cuda128-torch29-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-trustyai-nemo-guardrails-server-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-gaudi-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-workbench-jupyter-trustyai-cpu-py312-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-llm-d-kv-cache-rhel9 | Not affected | |
| Red Hat OpenShift Virtualization 4 | container-native-virtualization/ocp-virt-validation-checkup-rhel9 | Affected | |
| Red Hat Satellite 6 | satellite/iop-advisor-engine-rhel9 | Affected | |
| Red Hat Satellite 6 | satellite/foreman-mcp-server-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-host-inventory-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-vmaas-rhel9 | Not affected | |
| Red Hat Satellite 6 | satellite/iop-vulnerability-engine-rhel9 | Not 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 | cve.org | |
|---|---|---|---|
| CVSS v3 Base Score | 7.5 | N/A | 7.5 |
| Attack Vector | Network | N/A | Network |
| Attack Complexity | Low | N/A | Low |
| Privileges Required | None | N/A | None |
| User Interaction | None | N/A | None |
| Scope | Unchanged | N/A | Unchanged |
| Confidentiality Impact | None | N/A | None |
| Integrity Impact | None | N/A | None |
| Availability Impact | High | N/A | 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
cve.org 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?
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