CVE-2026-91990 json
Tornado before 6.5.8 Memory Amplification DoS via multipart
published 3mo ago modified last mo. also EUVD-2026-78661 , GHSA-8423-8fgw-73vq
- cvss
- 7.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.4%
- EPSS 0.4% chance of exploitation in 30 days, percentile 37%
- public exploits
- 0
- none known
Summary
Tornado before 6.5.8 contains a memory amplification vulnerability in parse_multipart_form_data that splits multipart data before validating the max_parts limit. Attackers can send crafted multipart requests with many parts to create large transient lists, exhausting server memory and causing denial of service.
Patch / fix
- pypi tornado 6.5.8
- tornadoweb tornado 6.5.8
- python-tornado Ubuntu 24.04 LTS 6.4.0-1ubuntu0.6
- python-tornado Ubuntu 26.04 LTS 6.5.4-0.1ubuntu0.2
- python-tornado Ubuntu Pro 16.04 LTS 4.2.1-1ubuntu3.1+esm4
- python-tornado Ubuntu Pro 18.04 LTS 4.5.3-1ubuntu0.2+esm4
- python-tornado Ubuntu Pro 22.04 LTS 6.1.0-3ubuntu0.1~esm6
ubuntu advisories UBUNTU-CVE-2026-91990
Ubuntu security data © Canonical Ltd., from https://github.com/canonical/ubuntu-security-notices via OSV; changed: normalised to fixed package versions per release. CC BY-SA 4.0
- python-tornado RHEL 10.2 6.5.8-0.el10_2.1
- python3-tornado RHEL 10.2 6.5.8-0.el10_2.1
- python-tornado RHEL 9 6.5.8-0.el9_8.1
- python3-tornado RHEL 9 6.5.8-0.el9_8.1
- python-tornado enterprise linux eus 10.0 6.5.8-0.el10_0.1
- python3-tornado enterprise linux eus 10.0 6.5.8-0.el10_0.1
red hat advisories RHSA-2026:80741RHSA-2026:67147RHSA-2026:67146
- python-tornado6 SLES 16.0, Linux Micro 6.2, SLES for SAP applications 16.0 6.5-160000.7.1
- python-tornado SLES for SAP 15 SP6, SLES for SAP 15 SP5, SLES for SAP 15 SP4 +11 more 4.5.3-150000.3.31.1
- python-tornado6 SLES for SAP 15 SP6, SLES for SAP 15 SP5, SLES for SAP 15 SP4 +8 more 6.3.2-150400.9.27.1
suse advisories SUSE-SU-2026:24121-1SUSE-SU-2026:24207-1SUSE-SU-2026:4404-1SUSE-SU-2026:4403-1
- python-tornado6 openSUSE Leap 16.0 6.5-160000.7.1
opensuse advisories openSUSE-SU-2026:22059-1
- python3-tornado AlmaLinux 9 6.5.8-0.el9_8.1
- python3-tornado AlmaLinux 10 6.5.8-0.el10_2.1
almalinux advisories ALSA-2026:67146ALSA-2026:67147
- github.com/tornadoweb/tornado@de85b3f commit
- github.com/tornadoweb/tornado#3704 pull request
- github.com/tornadoweb/tornado/releases/tag/v6.5.8 release
Is CVE-2026-91990 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerVendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-91990 updated cvss 7.5
tornado: Tornado: Denial of Service via memory amplification in multipart parsing
-
Red Hat Exploit Intelligence exploit-intelligence-tech-preview/vulnerability-analysis-rhel9affected: workaround, no fix planned “Will not fix”
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Red Hat Lightspeed Core lightspeed-core/rag-tool-cpu-rhel9, lightspeed-core/lightspeed-stack-rhel9, lightspeed-core/rag-tool-cuda-12.9-rhel9affected: workaround, no fix available
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Red Hat OpenShift Lightspeed openshift-lightspeed/lightspeed-ocp-rag-rhel9affected: workaround, no fix planned “Will not fix”
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Red Hat Ansible Automation Platform 2 ansible-automation-platform-26/lightspeed-chatbot-rhel9affected: workaround, no fix available
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Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-cuda-rhel9, rhelai3/bootc-rocm-rhel9, rhelai3/bootc-gaudi-rhel9, rhelai3/disk-image-cuda-rhel9affected: workaround, no fix available, no fix planned “Will not fix”
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Red Hat OpenShift AI (RHOAI) rhoai/odh-llama-stack-core-rhel9 Red Hat OpenShift Container Platform 4 openshift/ose-rhel-coreos-9, python-tornado 6.1.0-3.el9ocp.1 Red Hat OpenShift Container Platform 5 openshift/ose-rhel-coreos-9 Red Hat OpenStack Platform 16.2 rhosp-rhel8/openstack-redis, rhosp-rhel8/openstack-haproxy, rhosp-rhel8/openstack-mariadb, rhosp-rhel8/openstack-rabbitmq, rhosp-rhel8/openstack-ovn-northd, rhosp-rhel8/openstack-manila-share, +2 more Red Hat OpenStack Platform 17.1 rhosp-rhel9/openstack-redis, rhosp-rhel9/openstack-haproxy, rhosp-rhel9/openstack-mariadb, rhosp-rhel9/openstack-rabbitmq, rhosp-rhel9/openstack-ovn-northd, rhosp-rhel9/openstack-manila-share, +2 moreaffected: workaround, no fix available
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Red Hat Ansible Automation Platform 2.7 ansible-automation-platform-27/lightspeed-chatbot-rhel9 1791250620fixed: vendor fix RHSA-2026:79378
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Red Hat Enterprise Linux AppStream (v. 9) python-tornado 6.5.8-0.el9_8.1, python3-tornado 6.5.8-0.el9_8.1fixed: vendor fix RHSA-2026:67146
show 13 moreshow fewer
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Red Hat Enterprise Linux AppStream (v. 10) python-tornado 6.5.8-0.el10_2.1, python3-tornado 6.5.8-0.el10_2.1fixed: vendor fix RHSA-2026:67147
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Red Hat Enterprise Linux AppStream E4S (v.9.2) python-tornado 6.5.10-0.el9_2.1, python3-tornado 6.5.10-0.el9_2.1fixed: vendor fix RHSA-2026:98106
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Red Hat Enterprise Linux AppStream E4S (v.9.4) python-tornado 6.5.10-0.el9_4.1, python3-tornado 6.5.10-0.el9_4.1fixed: vendor fix RHSA-2026:98107
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Red Hat Enterprise Linux AppStream EUS (v. 10.0) python-tornado 6.5.8-0.el10_0.1, python3-tornado 6.5.8-0.el10_0.1fixed: vendor fix RHSA-2026:80741
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Red Hat Enterprise Linux AppStream EUS (v.9.6) python-tornado 6.4.2-2.el9_6.7, python3-tornado 6.4.2-2.el9_6.7fixed: vendor fix RHSA-2026:90283
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Red Hat OpenShift AI 2.25 rhoai/odh-feature-server-rhel9 1792148523, rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 1791867208fixed: vendor fix RHSA-2026:87410
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Red Hat OpenShift AI 3.4 rhoai/odh-feature-server-rhel9 1791863220, rhoai/odh-th06-cpu-torch210-py312-rhel9 1793084640, rhoai/odh-th06-rocm64-torch291-py312-rhel9 1792745990, rhoai/odh-th06-cuda130-torch210-py312-rhel9 1792748650, rhoai/odh-trustyai-nemo-guardrails-server-rhel9 1791556128, rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9 1792688615, +17 morefixed: vendor fix RHSA-2026:84734
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Red Hat OpenShift AI 3.5 rhoai/odh-th-torch-cpu-py312-rhel9 1791926611, rhoai/odh-th-torch-cuda-py312-rhel9 1791927642, rhoai/odh-th-torch-rocm-py312-rhel9 1791925861, rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9 1791572004, rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 1791816462, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 1791951049, +15 morefixed: vendor fix RHSA-2026:86891
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Red Hat Migration Toolkit for Applications 8 mta/mta-solution-server-rhel9 Red Hat Ansible Automation Platform 2.7 ansible-automation-platform-27/hub-rhel9 1791254555, ansible-automation-platform-27/gateway-rhel9 1791257377, ansible-automation-platform-27/hub-web-rhel9 1791264503, ansible-automation-platform-27/receptor-rhel9 1791251288, ansible-automation-platform-27/mcp-tools-rhel9 1790931895, ansible-automation-platform-27/controller-rhel9 1791253059, +26 morenot affected: vulnerable code not present
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Red Hat Enterprise Linux 8 pcs, pcs-snmpnot affected: inline mitigations already exist
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Red Hat Enterprise Linux 9 rhel9/keylime-verifier, rhel9/keylime-registrar Red Hat Enterprise Linux 10 rhel10/keylime-verifier, rhel10/keylime-registrarnot affected: vulnerable code not present
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Red Hat OpenShift AI (RHOAI) rhoai/odh-th06-cpu-torch291-py312-rhel9, rhoai/odh-th06-cuda130-torch291-py312-rhel9not affected: component not present
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Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1792570619, rhoai/odh-vllm-cpu-rhel9 1792018436, rhoai/odh-dashboard-rhel9 1791853525, rhoai/odh-modelmesh-rhel9 1790881700, rhoai/odh-operator-bundle 1792571069, rhoai/odh-vllm-cuda-rhel9 1791358976, +64 more Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1791509689, rhoai/odh-cli-rhel9 1792722177, rhoai/rhai-cli-rhel9 1791509689, rhoai/rhai-cli-rhel9 1792722177, rhoai/odh-automl-rhel9 1791535789, rhoai/odh-automl-rhel9 1792697253, +183 more Red Hat OpenShift AI 3.5 rhoai/odh-cli-rhel9 1791945905, rhoai/rhai-cli-rhel9 1791945905, rhoai/odh-automl-rhel9 1791916705, rhoai/odh-mlflow-rhel9 1791947857, rhoai/odh-autorag-rhel9 1791903266, rhoai/odh-trainer-rhel9 1791952138, +92 more Red Hat OpenShift Container Platform 4 python-flit 3.9.0-3.1.el9ocp, python-pep517 0.13.0-5.2.el9ocpnot affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- yes
- Technical impact
- partial
- Assessed
- last mo.
Exploit prediction
0.42% chance of exploitation in the next 30 days, higher than 37% of all scored CVEs (FIRST EPSS, 2026-11-11).
Exploits and checks
- github.com https://github.com/tornadoweb/tornado/security/advisories/GHSA-8423-8fgw-73vq referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 4.0 | 8.7 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N |
| CNA | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| CNA | 4.0 | 8.7 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | tornado | <6.5.8 |
6.5.8 |
Affected products
- tornadoweb tornado
Classification
- Weakness
-
- CWE-770 Allocation of Resources Without Limits or Throttling
References
-
github.com
/tornadoweb/tornado/pull/3704
web
-
github.com
/tornadoweb/tornado/commit/de85b3f87446e323e881bbaa3d5a74f4b76e5f05
web
-
github.com
/tornadoweb/tornado/security/advisories/GHSA-8423-8fgw-73vq
vendor-advisory, exploit, web, advisory
-
vulncheck.com
/advisories/tornado-before-6.5.8-memory-amplification-dos-via-multipart
third-party-advisory
-
gist.github.com
/afldl/649861f25d39b53b7edbe0298e171617
web
-
github.com
/tornadoweb/tornado
package
-
github.com
/tornadoweb/tornado/releases/tag/v6.5.8
web
Sources
- CVE List CVE-2026-91990
- GitHub Advisory GHSA-8423-8fgw-73vq
- NVD CVE-2026-91990
- Maintainer advisory GHSA-8423-8fgw-73vq
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
The maintainers of tornadoweb/tornado published their own advisory on GitHub. Reviewed sources take precedence over it.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.