Tornado is a Python web framework and asynchronous networking library. In versions of Tornado prior to 6.5.5, the only limit on the number of parts in multipart/form-data is the max_body_size setting (default 100MB). Since parsing occurs synchronously on the main thread, this creates the possibility of denial-of-service due to the cost of parsing very large multipart bodies with many parts. This vulnerability is fixed in 6.5.5.
The product does not properly control the allocation and maintenance of a limited resource.
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Tornado | Tornadoweb | * | 6.5.5 (excluding) |
| Red Hat Enterprise Linux 10 | RedHat | python-tornado-0:6.5.5-1.el10_1.1 | * |
| Red Hat Enterprise Linux 10 | RedHat | python-tornado-0:6.5.5-1.el10_2 | * |
| Red Hat Enterprise Linux 10.0 Extended Update Support | RedHat | python-tornado-0:6.4.2-1.el10_0.2 | * |
| Red Hat Enterprise Linux 7 Extended Lifecycle Support | RedHat | python-tornado-0:4.2.1-5.el7_9.3 | * |
| Red Hat Enterprise Linux 8 | RedHat | pcs-0:0.10.18-2.el8_10.9 | * |
| Red Hat Enterprise Linux 8.4 Advanced Mission Critical Update Support | RedHat | pcs-0:0.10.8-1.el8_4.11 | * |
| Red Hat Enterprise Linux 8.4 Extended Update Support Long-Life Add-On | RedHat | pcs-0:0.10.8-1.el8_4.11 | * |
| Red Hat Enterprise Linux 8.6 Telecommunications Update Service | RedHat | pcs-0:0.10.12-6.el8_6.13 | * |
| Red Hat Enterprise Linux 8.6 Update Services for SAP Solutions | RedHat | pcs-0:0.10.12-6.el8_6.13 | * |
| Red Hat Enterprise Linux 8.8 Telecommunications Update Service | RedHat | pcs-0:0.10.15-4.el8_8.11 | * |
| Red Hat Enterprise Linux 8.8 Update Services for SAP Solutions | RedHat | pcs-0:0.10.15-4.el8_8.11 | * |
| Red Hat Enterprise Linux 9 | RedHat | python-tornado-0:6.5.5-1.el9_7.1 | * |
| Red Hat Enterprise Linux 9 | RedHat | python-tornado-0:6.5.5-1.el9_8 | * |
| Red Hat Enterprise Linux 9.0 Update Services for SAP Solutions | RedHat | pcs-0:0.11.1-10.el9_0.11 | * |
| Red Hat Enterprise Linux 9.2 Update Services for SAP Solutions | RedHat | python-tornado-0:6.4.2-1.el9_2.2 | * |
| Red Hat Enterprise Linux 9.4 Extended Update Support | RedHat | python-tornado-0:6.4.2-1.el9_4.2 | * |
| Red Hat Enterprise Linux 9.6 Extended Update Support | RedHat | python-tornado-0:6.4.2-2.el9_6.3 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-llama-stack-core-rhel9:1775144403 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9:1780078312 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9:1780069491 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9:1780078429 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9:1780069222 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9:1780078632 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9:1780078416 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9:1780417775 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9:1780078388 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1780069146 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9:1780069205 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9:1780069224 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9:1780069470 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1780078413 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9:1780069226 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1780078629 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1780078414 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1780078632 | * |
| Red Hat OpenShift AI 2.25 | RedHat | rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1780069222 | * |
| Python-tornado | Ubuntu | devel | * |
| Python-tornado | Ubuntu | esm-apps/bionic | * |
| Python-tornado | Ubuntu | esm-apps/focal | * |
| Python-tornado | Ubuntu | esm-apps/jammy | * |
| Python-tornado | Ubuntu | esm-infra-legacy/xenial | * |
| Python-tornado | Ubuntu | esm-infra/xenial | * |
| Python-tornado | Ubuntu | jammy | * |
| Python-tornado | Ubuntu | noble | * |
| Python-tornado | Ubuntu | questing | * |
| Python-tornado | Ubuntu | resolute | * |
| Python-tornado | Ubuntu | upstream | * |
Mitigation of resource exhaustion attacks requires that the target system either:
The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.
The second solution is simply difficult to effectively institute – and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.