<Vulnerability name="CVE-2026-58203">
    <DocumentDistribution xml:lang="en">Copyright © 2012 Red Hat, Inc. All rights reserved.</DocumentDistribution>
    <ThreatSeverity>Moderate</ThreatSeverity>
    <PublicDate>2026-07-06T14:24:15</PublicDate>
    <Bugzilla id="2497377" url="https://bugzilla.redhat.com/show_bug.cgi?id=2497377" xml:lang="en:us">
pydantic-settings: NestedSecretsSettingsSource follows symlinks outside secrets_dir, enabling local file read and bypassing secrets_dir_max_size
    </Bugzilla>
    <CVSS3 status="draft">
        <CVSS3BaseScore>5.3</CVSS3BaseScore>
        <CVSS3ScoringVector>CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L</CVSS3ScoringVector>
    </CVSS3>
    <CWE>CWE-22</CWE>
    <Details xml:lang="en:us" source="Mitre">
pydantic-settings provides settings management using Pydantic. From 2.12.0 until 2.14.2, NestedSecretsSettingsSource reads secret values from files in a configured secrets_dir. When secrets_nested_subdir=True, a directory entry inside secrets_dir that is a symbolic link pointing outside secrets_dir is followed, so files outside the configured directory are read into settings values. The same code path bypasses the documented secrets_dir_max_size protection. An attacker or lower-privileged component able to influence entries in the configured secrets directory (for example, a writable or shared secrets mount) can turn this into an unintended local file read into settings and can defeat the advertised loading-size cap.  This vulnerability is fixed in 2.14.2.
    </Details>
    <Details xml:lang="en:us" source="Red Hat">
A flaw was found in the `pydantic-settings` component. When configured to handle nested secrets, this vulnerability allows an attacker to read sensitive files from outside the designated secrets directory. By placing a specially crafted symbolic link within the secrets directory, an attacker can trick the system into accessing unauthorized files. This issue also bypasses a safeguard designed to limit the size of loaded secrets, potentially leading to unexpected resource usage. This vulnerability requires an attacker to have the ability to modify entries within the secrets directory.
    </Details>
    <Statement xml:lang="en:us">
Moderate: This flaw in `pydantic-settings` allows for local file disclosure and bypass of size restrictions when `NestedSecretsSettingsSource` is used with `secrets_nested_subdir=True` and an attacker can influence entries in the configured `secrets_dir`. This is due to inconsistent directory traversal implementations that follow symbolic links outside the intended directory, enabling unauthorized reading of local files.
    </Statement>
    <Mitigation xml:lang="en:us">
To mitigate this issue, ensure that the `secrets_dir` used by `pydantic-settings` with `NestedSecretsSettingsSource` is exclusively controlled by the application, preventing any unauthorized modifications or symlink placements. Alternatively, disable the `secrets_nested_subdir=True` option if nested secret subdirectories are not essential for your application's functionality.
    </Mitigation>
    <PackageState cpe="cpe:/a:redhat:exploit_intelligence:0">
        <ProductName>Exploit Intelligence</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>exploit-intelligence-tech-preview/vulnerability-analysis-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:lightspeed_core">
        <ProductName>Lightspeed Core</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>lightspeed-core/lightspeed-stack-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:migration_toolkit_applications:8">
        <ProductName>Migration Toolkit for Applications 8</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>mta/mta-solution-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_lightspeed">
        <ProductName>OpenShift Lightspeed</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>openshift-lightspeed/lightspeed-agentic-sandbox-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_lightspeed">
        <ProductName>OpenShift Lightspeed</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>openshift-lightspeed/lightspeed-service-api-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/model-opt-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaiis/vllm-cpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaiis/vllm-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaiis/vllm-neuron-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaiis/vllm-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaiis/vllm-spyre-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaiis/vllm-tpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-cpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-gaudi-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-neuron-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-spyre-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ai_inference_server:3">
        <ProductName>Red Hat AI Inference Server</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhaii/vllm-tpu-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Out of support scope</FixState>
        <PackageName>ansible-automation-platform-25/lightspeed-chatbot-rhel8</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>ansible-automation-platform-26/lightspeed-chatbot-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>ansible-automation-platform-26/mcp-tools-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>ansible-automation-platform-27/lightspeed-chatbot-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:ansible_automation_platform:2">
        <ProductName>Red Hat Ansible Automation Platform 2</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>ansible-automation-platform-27/mcp-tools-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-aws-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-azure-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-azure-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-gaudi-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-gcp-cuda-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:enterprise_linux_ai:3">
        <ProductName>Red Hat Enterprise Linux AI (RHEL AI) 3</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhelai3/bootc-rocm-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:rhel_cla:1">
        <ProductName>Red Hat Enterprise Linux command line assistant</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>rhel-cla/rhel-knowledge-bridge-rhel10</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:hummingbird:1">
        <ProductName>Red Hat Hardened Images</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>jaeger</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-autorag-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-caikit-nlp-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-caikit-tgis-serving-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-feature-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-kserve-agent-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-kserve-controller-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-kserve-router-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-kserve-storage-initializer-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-llama-stack-core-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-llm-d-kv-cache-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-mlserver-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-ta-lmes-job-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-trustyai-nemo-guardrails-server-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-vllm-gaudi-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:openshift_ai">
        <ProductName>Red Hat OpenShift AI (RHOAI)</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:container_native_virtualization:4">
        <ProductName>Red Hat OpenShift Virtualization 4</ProductName>
        <FixState>Fix deferred</FixState>
        <PackageName>container-native-virtualization/ocp-virt-validation-checkup-rhel9</PackageName>
    </PackageState>
    <PackageState cpe="cpe:/a:redhat:satellite:6">
        <ProductName>Red Hat Satellite 6</ProductName>
        <FixState>Not affected</FixState>
        <PackageName>satellite/foreman-mcp-server-rhel9</PackageName>
    </PackageState>
    <References xml:lang="en:us">
https://www.cve.org/CVERecord?id=CVE-2026-58203
https://nvd.nist.gov/vuln/detail/CVE-2026-58203
https://github.com/pydantic/pydantic-settings/security/advisories/GHSA-4xgf-cpjx-pc3j
    </References>
</Vulnerability>