CVE-2026-31958

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{"bugzilla": {"description": "tornado-python: Tornado: Denial of Service via large multipart bodies", "id": "2446765", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2446765"}, "csaw": false, "cvss3": {"cvss3_base_score": "5.3", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L", "status": "draft"}, "cwe": "CWE-770", "details": ["A flaw was found in tornado-python. A remote attacker can exploit this vulnerability by sending a specially crafted, very large multipart body with numerous parts. Because the parsing of these large bodies occurs synchronously on the main thread, it can consume excessive resources, leading to a denial of service (DoS) for the application."], "mitigation": {"lang": "en:us", "value": "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."}, "name": "CVE-2026-31958", "package_state": [{"cpe": "cpe:/a:redhat:external_secrets_operator:1", "fix_state": "Affected", "package_name": "external-secrets-operator/bitwarden-sdk-server-rhel9", "product_name": "External Secrets Operator for Red Hat OpenShift"}, {"cpe": "cpe:/a:redhat:external_secrets_operator:1", "fix_state": "Affected", "package_name": "external-secrets-operator/external-secrets-operator-bundle", "product_name": "External Secrets Operator for Red Hat OpenShift"}, {"cpe": "cpe:/a:redhat:external_secrets_operator:1", "fix_state": "Affected", "package_name": "external-secrets-operator/external-secrets-operator-rhel9", "product_name": "External Secrets Operator for Red Hat OpenShift"}, {"cpe": "cpe:/a:redhat:external_secrets_operator:1", "fix_state": "Affected", "package_name": "external-secrets-operator/external-secrets-rhel9", "product_name": "External Secrets Operator for Red Hat OpenShift"}, {"cpe": "cpe:/o:redhat:enterprise_linux:8", "fix_state": "Affected", "package_name": "pcs", "product_name": "Red Hat Enterprise Linux 8"}, {"cpe": "cpe:/o:redhat:enterprise_linux:9", "fix_state": "Affected", "package_name": "pcs", "product_name": "Red Hat Enterprise Linux 9"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Affected", "package_name": "rhelai3/bootc-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:3", "fix_state": "Affected", "package_name": "rhelai3/disk-image-cuda-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI) 3"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-llama-stack-core-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-trustyai-ragas-lls-provider-dsp-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift:4", "fix_state": "Affected", "package_name": "python-pep517", "product_name": "Red Hat OpenShift Container Platform 4"}], "public_date": "2026-03-11T19:27:23Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-31958\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-31958\nhttps://github.com/tornadoweb/tornado/security/advisories/GHSA-qjxf-f2mg-c6mc"], "threat_severity": "Moderate"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,6.5.5)"}}], "enrichment": {"confidence": 100.0, "confidence_source": "matching", "scores": [{"score": 100.0, "source": "matching"}]}, "original": {"product": "tornado", "source": "cna", "vendor": "tornadoweb"}, "product": "tornado", "vendor": "tornadoweb"}], "analysis": {"en": {"generated_at": "2026-03-17T15:47:20.596353+00:00", "value": {"mitigation_remediation": ["Upgrade Tornado to version 6.5.5 or newer."], "summary": {"action": "Apply Patch", "impact": "Denial of Service"}, "threat_synthesis": {"affected_systems": "The affected vendor is Tornado (tornadoweb:tornado). All releases up to and including 6.5.4 are vulnerable; the issue is resolved starting with Tornado 6.5.5.", "description_and_impact": "In Tornado versions prior to 6.5.5 the server parses multipart/form-data synchronously on the main thread with only the max_body_size setting as a limit (default 100\u202fMB). A request containing many individual parts can therefore consume excessive CPU and memory during parsing, causing the application to become unresponsive. The vulnerability is a classic resource exhaustion flaw (CWE\u2011400 and CWE\u2011770).", "risk_and_exploitability": "The CVSS score of 8.7 indicates serious severity, but the EPSS score of less than 1\u202f% suggests that exploitation is currently unlikely. The vulnerability is not listed in the CISA KEV catalog, and no public exploit has been reported. The likely attack vector is remote HTTP requests with large multipart bodies; however, direct evidence of an existing exploitation path is not provided in the data."}}}}, "created": "2026-03-12T09:56:43.040387+00:00", "updated": "2026-03-20T15:29:17.590501+00:00", "vendors": ["tornadoweb", "tornadoweb$PRODUCT$tornado"]}