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Fencer Vulns
high 7.5

CVE-2026-119286 json

GraphQL-core: Denial of service via memory leak in aborted validations

published 2026-10-29 10 d ago modified 2026-10-30 9 d ago also GHSA-mpqx-q82w-9x46 , EUVD-2026-113404

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 36%
public exploits
0
none known

Summary

GraphQL-core is a Python port of the GraphQL.js reference implementation. From 3.3.0a3 until 3.3.1, validate() reuses a module-level ValidationAbortedError when a document exceeds max_errors. Python appends frames to the reused exception's traceback on every raise, retaining each document, validation context, and error set for the process lifetime. An unauthenticated client can repeatedly submit a small document with more than 100 validation errors to cause unbounded memory growth before query execution, eventually exhausting worker memory without disclosing or modifying data. This issue is fixed in version 3.3.1.

Patch / fix

  • pypi graphql-core 3.3.1
  • python-graphql-core openSUSE Tumbleweed 3.3.1-1.1

opensuse advisories openSUSE-SU-2026:12474-1

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-119286 updated cvss 7.5

graphql-core: graphql-core: Denial of Service via unbounded memory growth during document validation

  • Red Hat Exploit Intelligence exploit-intelligence/vulnerability-analysis-rhel9 Red Hat OpenShift AI (RHOAI) rhoai/odh-mlflow-rhel9, rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9, rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9, +9 more
    affected: workaround, no fix available
  • Red Hat OpenShift AI (RHOAI) rhoai/odh-th-torch-cpu-py312-rhel9, rhoai/odh-th-torch-cuda-py312-rhel9, rhoai/odh-th-torch-rocm-py312-rhel9, rhoai/odh-th06-cpu-torch210-py312-rhel9, rhoai/odh-th06-rocm64-torch291-py312-rhel9, rhoai/odh-th06-cuda130-torch210-py312-rhel9, +1 more
    not affected: vulnerable code not in execute path

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
none
Automatable
yes
Technical impact
partial
Assessed
9 d ago

Exploit prediction

0.42% chance of exploitation in the next 30 days, higher than 36% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
GitHub 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Affected packages

ecosystem package affected fixed in
pypi graphql-core
>=3.3.0a3, <3.3.1
3.3.1

Affected products

  • graphql-python graphql-core

Classification

Weakness
  • CWE-400 Uncontrolled Resource Consumption
  • CWE-401 Missing Release of Memory after Effective Lifetime

References

Sources

Fencer Vulns 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.