High [CVE-2026-59885] Denial of Service via crafted ASN.1 OBJECT IDENTIFIER
This high-severity Red Hat Linux advisory covers CVE-2026-59885 affecting Red Hat Ansible Automation Platform 2.5 for RHEL 8, Red Hat Ansible Automation Platform 2.5 for RHEL 9, Red Hat Ansible Automation Platform 2.6 for RHEL 9.
Aggregated and source-linked by VulniPulse. Data sources, validation and limitations.
VulniPulse record published Record updated
Summary
pyasn1 is a generic ASN.1 library for Python.
Prior to 0.6.4, the BER, CER, and DER decoders process OBJECT IDENTIFIER and RELATIVE-OID values in quadratic time relative to the number of arcs, so a small crafted payload containing an OID with many arcs consumes excessive CPU per decode() call and can deny service to applications that decode untrusted ASN.1 data.
The corresponding encoders have the same quadratic behavior when an application re-encodes previously decoded attacker-supplied values. This issue is fixed in version 0.6.4.
A flaw was found in pyasn1. The arc-size limit introduced for CVE-2026-23490 does not mitigate this issue.
Red Hat severity: Important — CVSS 7.5 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-1050.
Affected products named by the advisory: Red Hat Ansible Automation Platform 2.5 for RHEL 8; Red Hat Ansible Automation Platform 2.5 for RHEL 9; Red Hat Ansible Automation Platform 2.6 for RHEL 9; Red Hat AI Inference Server 3.3; and 40 more.
Affected products named by the advisory: Red Hat AI Inference Server 3.4; Red Hat Enterprise Linux AI 3.3; Red Hat Hardened Images; Red Hat Migration Toolkit for Applications 8.2; and 36 more.
Is CVE-2026-59885 exploited?
No exploitation is reported in the sources VulniPulse tracks: CVE-2026-59885 is not in the CISA KEV catalog (checked ) and this advisory does not report exploitation. That is not proof the vulnerability cannot be exploited.
How do I fix CVE-2026-59885?
Upgrade to a fixed release named by Red Hat:
- 0.6.4
- python3.12-pyasn1-0:0.6.4-1.el8ap
- python3.12-pyasn1-0:0.6.4-1.el9ap
- rhaiis/model-opt-cuda-rhel9:1787601159
- rhaii/vllm-rocm-rhel9:1791856725
- rhelai3/disk-image-cuda-rhel9:1788290314
- rhelai3/bootc-aws-cuda-rhel9:1788273908
- rhelai3/bootc-azure-cuda-rhel9:1788273909
- rhelai3/bootc-cuda-rhel9:1788260684
- rhelai3/bootc-gcp-cuda-rhel9:1788273977
- jaeger-main-2.19.0-1.1.hum1
- mta/mta-rhel9-operator:1786481481
38 more fixed releases are listed below.
Confirm against the vendor advisory before you patch.
- < 0.6.4
Official advisory · high-confidence parse· fetched 5 days ago·verify at source
- 0.6.4
- python3.12-pyasn1-0:0.6.4-1.el8ap
- python3.12-pyasn1-0:0.6.4-1.el9ap
- rhaiis/model-opt-cuda-rhel9:1787601159
- rhaii/vllm-rocm-rhel9:1791856725
- rhelai3/disk-image-cuda-rhel9:1788290314
- rhelai3/bootc-aws-cuda-rhel9:1788273908
- rhelai3/bootc-azure-cuda-rhel9:1788273909
- rhelai3/bootc-cuda-rhel9:1788260684
- rhelai3/bootc-gcp-cuda-rhel9:1788273977
- jaeger-main-2.19.0-1.1.hum1
- mta/mta-rhel9-operator:1786481481
- rhoai/odh-kserve-storage-initializer-rhel9:1787083682
- rhoai/odh-feature-server-rhel9:1792148523
- rhoai/odh-llama-stack-core-rhel9:1789121286
- rhoai/odh-mlflow-rhel9:1789653606
- rhoai/odh-kserve-storage-initializer-rhel9:1787073479
- rhoai/odh-llama-stack-core-rhel9:1786635926
- rhoai/odh-mlflow-rhel9:1787226790
- rhoai/odh-model-registry-job-async-upload-rhel9:1787361413
- rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9:1787073866
- rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9:1787073873
- rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9:1787073459
- rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9:1787073611
- rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9:1787073451
- rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9:1787073451
- rhoai/odh-th06-cpu-torch210-py312-rhel9:1787076778
- rhoai/odh-th06-cuda130-torch210-py312-rhel9:1787077779
- rhoai/odh-th06-rocm64-torch291-py312-rhel9:1787076481
- rhoai/odh-training-cuda128-torch29-py312-rhel9:1786611803
- rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9:1787121387
- rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9:1787074331
- rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9:1787073605
- rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9:1787073546
- rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9:1787073717
- rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9:1787073713
- rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9:1787073593
- rhoai/odh-feature-server-rhel9:1791863220
- rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9:1791785804
- stf/prometheus-webhook-snmp-rhel9:1790006859
- quay/quay-rhel8:1786395065
- RHSA-2026:50319
- RHSA-2026:50336
- RHSA-2026:59518
- RHSA-2026:83121
- RHSA-2026:62335
- RHSA-2026:62336
- RHSA-2026:40236
- RHSA-2026:56347
- RHSA-2026:65126
Official advisory · high-confidence parse· fetched 5 days ago·verify at source
Mitigation checklist
- Update to pyasn1 version 0.6.4 or later when available for your product stream. The impact is limited to availability (denial of service) — an attacker cannot access or modify data. Applications that do not process untrusted ASN.1 input are at reduced risk.
Official advisory · high-confidence parse· fetched 5 days ago·verify at source
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