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Full vulnerability report · 2026
CVE-2026-28684High confidence

python-dotenv: Symlink following in set_key allows arbitrary file overwrite via cross-device rename fallback

theskumar · python-dotenv

Official source article: GitHub GHSA-MF9W-MJ56-HR94 ↗. Check the applicable product and release in the original source.

6.6MediumCVSS 3.1
Recommended action
Patch only the product branches with a verified fix

Medium technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance. Verified remediation exists for at least one product or source, but 4 structured product or package states remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Fix availability varies by product
R
Operational reassessment

Published severity in operational context

Open reassessment dashboard →
Published severityMediumOperational priority:Medium, unchanged from published severity.unchanged

Evidence used

  • No CISA KEV confirmation is currently recorded.
  • A structured source references public exploit or proof-of-concept material.
  • Exploitation requires an existing local or physical foothold with privileges.
  • EPSS is 0.19% for the current model date.

Compensating controls

  • Validate the affected product branch and deploy the verified fixed release.
  • Restrict local access and enforce least privilege on affected hosts.
  • Increase monitoring for the attack path and post-exploitation behaviour described in the report.

Verification

  1. Confirm that the asset runs theskumar python-dotenv and falls inside the recorded affected range.
  2. Verify the installed build against the product-specific fixed version after deployment.
  3. Validate exposure, authentication requirements and compensating controls in the actual environment.
  4. Reopen this reassessment when CVSS, KEV, EPSS, exploit evidence or remediation changes.
Mitigation target: As exposure requiresRemediation target: Within 365 days

This automated reassessment organises public evidence. It does not know asset exposure, business impact or control effectiveness and does not replace CVSS or a human risk decision.

Cross-source reconciliation

Remediation availability differs by product scope

Verified remediation exists for at least one product or source, but 4 structured product or package states remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Distribution package intelligence

Release-specific package status

Debian, ubuntu findings are scoped to the named distribution, release and source package. An absent finding does not mean a package is unaffected.

5 package states
Package result overrides the generic status

BlackTree has verified remediation for at least one product or source, but the relevant distribution still reports no fixed package for 4 affected package states shown here. Treat those rows as affected with no fix until that distribution publishes a fixed version.

Repository candidate not checked

A published vendor fix does not prove that a matching update is enabled and installable on a particular asset. Confirm the local package candidate before scheduling remediation.

Distribution releaseSource packageVendor stateFixed versionEvidence
Debian trixietrixie · sourcepython-dotenvAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 6 Oct 2026
Debian bookwormbookworm · sourcepython-dotenvAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 6 Oct 2026
Debian forkyforky · sourcepython-dotenvAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 6 Oct 2026
Debian sidsid · sourcepython-dotenvAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 6 Oct 2026
Ubuntu 24.04 LTSnoble · standard archivepython-dotenvUnder evaluationCanonical reports that the package might be affected and still needs evaluation or fixing.Not published in this feedCanonical Ubuntu Security ↗Source updated 5 Oct 2026
Open-source package ranges2 source-attributed ranges

These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.

Ecosystem and packageAffected rangeFirst fixed versionEvidence
PyPIpython-dotenvECOSYSTEM: introduced 0; fixed 1.2.21.2.2OSV record ↗aggregator derived · 10 Sep 2026
pippython-dotenv< 1.2.21.2.2GitHub advisory ↗upstream repository advisory · 21 Apr 2026
Direct vendor intelligence

Authoritative vendor CSAF and VEX advisories

Structured product status and remediation from the issuing vendor. Product-state explanations are always visible; large lists can be searched or downloaded.

1 current
CVE-2026-28684 · CSAF 2.0 · revision 3 · finalRed Hat Product Securitypython-dotenv: python-dotenv: Arbitrary file overwrite via symbolic link following
30 known affected

The vendor explicitly identifies these products as affected by this CVE.

  • lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core
  • lightspeed-core/rag-tool-rhel9 as a component of Lightspeed Core
  • openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed
  • rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-spyre-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server
  • ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2
  • ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2
  • rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3
Summary
A flaw was found in python-dotenv. A local attacker can exploit this by crafting a symbolic link, which the `set_key()` and `unset_key()` functions in python-dotenv follow when rewriting `.env` files. This can lead to the overwriting of arbitrary files on the system.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2026:61628
Optional official sources

National CERT insights
?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.

Choose official national sources for this report. Each advisory shows its original language. Your selection is remembered on this device and included in shared links.

Official European source

ENISA European Vulnerability Database

Official EUVD identifiers, advisory evidence and known-exploited context. Missing fields are not treated as evidence of low risk.

1 current
ENISA EUVD identifier

EUVD-2026-23901

No EUVD known-exploited evidence

ENISA has published the identifier mapping but no EUVD description has been stored yet.

EUVD state
Present in the current official mapping
Known exploitation
Not present in the current ENISA EUVD known-exploited dataset. This is not proof of no exploitation.
ENISA score
Not supplied in the stored EUVD record
Advisory evidence
No linked advisory details stored yet
Recommended actionPatch only the product branches with a verified fix

Medium technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance. Verified remediation exists for at least one product or source, but 4 structured product or package states remain unresolved. Apply remediation only to the exact product branch confirmed by its source.

Fix availability varies by product
01

What, why and how

python-dotenv reads key-value pairs from a .env file and can set them as environment variables. Prior to version 1.2.2, `set_key()` and `unset_key()` in python-dotenv follow symbolic links when rewriting `.env` files, allowing a local attacker to overwrite arbitrary files via a crafted symlink when a cross-device rename fallback is triggered. Users should upgrade to v.1.2.2 or, as a workaround, apply the patch manually.

What

python-dotenv reads key-value pairs from a .env file and can set them as environment variables. Prior to version 1.2.2, `set_key()` and `unset_key()` in python-dotenv follow symbolic links when rewriting `.env` files, allowing a local attacker to overwrite arbitrary files via a crafted symlink when a cross-device rename fallback is triggered. Users should upgrade to v.1.2.2 or, as a workaround, apply the patch manually.

Why

The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource.

How

An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.

What

python-dotenv reads key-value pairs from a .env file and can set them as environment variables. Prior to version 1.2.2, `set_key()` and `unset_key()` in python-dotenv follow symbolic links when rewriting `.env` files, allowing a local attacker to overwrite arbitrary files via a crafted symlink when a cross-device rename fallback is triggered. Users should upgrade to v.1.2.2 or, as a workaround, apply the patch manually.

Why

The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource.

How

An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.

02

Exploit reality and attack path

CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.

Observed exploitation
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
No confirmed evidence

No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.

Public PoC / exploit material
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
Reference recorded

A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.

Likely attack path
local access → Improper Link Resolution Before File Access ('Link Following') → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Local
Privileges required
Low: a basic authenticated account is required
User interaction
Required interaction required
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Unchanged: impact remains within the vulnerable component's security authority
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-59 ↗

CWE-59: Improper Link Resolution Before File Access ('Link Following'). The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:H/A:H

Common Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.

AVLocalAttack vector: The attacker needs local access to the vulnerable system.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.PRLowPrivileges required: The attacker needs basic user-level privileges.UIRequiredUser interaction: Another user must perform an action for exploitation to succeed.SUnchangedScope: The security impact remains within the vulnerable component's authority.CNoneConfidentiality impact: No direct loss is represented by this metric.IHighIntegrity impact: A successful attack can cause a major loss.AHighAvailability impact: A successful attack can cause a major loss.
Post-exploitation / living off the land
The issue can support a local privilege or sandbox boundary transition; normal system utilities may then be available in the gained context.
CWE-59Public exploit reference
A

Official authority intelligence

Only matched European and national findings are included. Language selectors and unavailable sources are omitted.

BSI · German · WID-SEC-2026-3046IBM Concert: Mehrere Schwachstellen

Ein Angreifer kann mehrere Schwachstellen in IBM Concert ausnutzen, um beliebigen Programmcode auszuführen, um einen Denial of Service Angriff durchzuführen, um Informationen offenzulegen, um Dateien zu manipulieren, um einen Cross-Site Scripting Angriff durchzuführen, um einen SQL-Injection Angriff durchzuführen und um Sicherheitsvorkehrungen zu umgehen.

Official advisory ↗
BSI · German · WID-SEC-2026-2933Splunk SOAR: Mehrere Schwachstellen

Ein Angreifer kann mehrere Schwachstellen in Splunk SOAR ausnutzen, um Sicherheitsvorkehrungen zu umgehen, um Informationen offenzulegen, um Dateien zu manipulieren, um einen SQL-Injection Angriff durchzuführen, um einen Cross-Site Scripting Angriff durchzuführen, und um beliebigen Programmcode auszuführen.

Official advisory ↗
BSI · German · WID-SEC-2026-1407IBM App Connect Enterprise Certified Container: Mehrere Schwachstellen

Ein Angreifer kann mehrere Schwachstellen in IBM App Connect Enterprise Certified Container ausnutzen, um beliebigen Code auszuführen, Sicherheitsmaßnahmen zu umgehen, Cross-Site-Scripting-Angriffe durchzuführen, Daten zu manipulieren, vertrauliche Informationen offenzulegen oder einen Denial-of-Service-Zustand zu verursachen.

Official advisory ↗
Cyber Security Agency of Singapore · English · CSA-SB-20260422Security Bulletin 22 April 2026

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 22 April 2026, published on 22 April 2026. Open the linked bulletin for the product, severity and reference information published in that issue.

Official advisory ↗
CERT-FR · French · CERTFR-2026-AVI-1056Multiples vulnérabilités dans les produits Splunk

rd?id=CVE-2026-2739 Référence CVE CVE-2026-27651 https://www.cve.org/CVERecord?id=CVE-2026-27651 Référence CVE CVE-2026-27654 https://www.cve.org/CVERecord?id=CVE-2026-27654 Référence CVE CVE-2026-27784 https://www.cve.org/CVERecord?id=CVE-2026-27784 Référence CVE CVE-2026-27959 https://www.cve.org/CVERecord?id=CVE-2026-27959 Référence CVE CVE-2026-28277 https://www.cve.org/CVERecord?id=CVE-2026-28277 Référence CVE CVE-2026-28388 https://www.cve.org/CVERecord?id=CVE-2026-28388 Référence CVE CVE-2026-28389 https://www.cve.org/CVERecord?id=CVE-2026-28389 Référence CVE CVE-2026-28390 https://www.cve.org/CVERecord?id=CVE-2026-28390 Référence CVE CVE-2026-28684 https://www.cve.org/CVERecord?id=CVE-2026-28684 Référence CVE CVE-2026-28753 https://www.cve.org/CVERecord?id=CVE-2026-28753 Référence CVE CVE-2026-28755 https://www.cve.org/CVERecord?id=CVE-2026-28755 Référence CVE CVE-2026-29063 https://www.cve.org/CVERecord?id=CVE-2026-29063 Référence CVE CVE-2026-29181 https://www.cve.org/CVERecord?id=CVE-2026-29181 Référence CVE CVE-2026-2950 https://www.cve.org/CVERecord?id=CVE-2026-2950 Référence CVE CVE-2026-30922 https://www.cve.org/CVERecord?id=CVE-2026-30922 Référence CVE CVE-2026-31789 https://www.cve.org/CVERecord?id=CVE-2026-31789 Référence CVE CVE-2026-31790 https://www.cve.org/CVERecord?id=CV

Official advisory ↗
CERT-FR · French · CERTFR-2026-AVI-0901Multiples vulnérabilités dans les produits IBM

ord?id=CVE-2026-27136 Référence CVE CVE-2026-27199 https://www.cve.org/CVERecord?id=CVE-2026-27199 Référence CVE CVE-2026-27205 https://www.cve.org/CVERecord?id=CVE-2026-27205 Référence CVE CVE-2026-2739 https://www.cve.org/CVERecord?id=CVE-2026-2739 Référence CVE CVE-2026-27448 https://www.cve.org/CVERecord?id=CVE-2026-27448 Référence CVE CVE-2026-27459 https://www.cve.org/CVERecord?id=CVE-2026-27459 Référence CVE CVE-2026-27903 https://www.cve.org/CVERecord?id=CVE-2026-27903 Référence CVE CVE-2026-27904 https://www.cve.org/CVERecord?id=CVE-2026-27904 Référence CVE CVE-2026-27980 https://www.cve.org/CVERecord?id=CVE-2026-27980 Référence CVE CVE-2026-28684 https://www.cve.org/CVERecord?id=CVE-2026-28684 Référence CVE CVE-2026-29057 https://www.cve.org/CVERecord?id=CVE-2026-29057 Référence CVE CVE-2026-29063 https://www.cve.org/CVERecord?id=CVE-2026-29063 Référence CVE CVE-2026-2950 https://www.cve.org/CVERecord?id=CVE-2026-2950 Référence CVE CVE-2026-29786 https://www.cve.org/CVERecord?id=CVE-2026-29786 Référence CVE CVE-2026-30922 https://www.cve.org/CVERecord?id=CVE-2026-30922 Référence CVE CVE-2026-31802 https://www.cve.org/CVERecord?id=CVE-2026-31802 Référence CVE CVE-2026-31958 https://www.cve.org/CVERecord?id=CVE-2026-31958 Référence CVE CVE-2026-3304 https://www.cve.org/CVERecord?id=CVE

Official advisory ↗
JVN iPedia · Japanese · JVNDB-2026-013004Saurabh Kumarのpython-dotenvにおける複数の脆弱性

python-dotenvは.envファイルからキーと値のペアを読み取り、それらを環境変数として設定できます。バージョン1.2.2以前のpython-dotenvでは、`set_key()`および`unset_key()`が.envファイルを書き換える際にシンボリックリンクをたどってしまいました。そのため、クロスデバイスのリネームフォールバックが発生した場合に、ローカルの攻撃者が細工したシンボリックリンクを介して任意のファイルを上書きできる可能性がありました。ユーザーにはバージョン1.2.2にアップグレードすること、または回避策としてパッチを手動で適用することを推奨します。

Official advisory ↗
03

Patch and workaround

Operational remediation based on structured source evidence.

Status
?Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change.
Fix availability varies by product
Affected
Fixed
Action
Use the product-specific evidence above. Patch only products with a verified fixed release, and keep every affected or under-investigation state without a matching fix in the remediation queue.
Workaround
No verified workaround is recorded. Limit untrusted access and use least privilege until authoritative guidance is available.
04

Evidence and provenance

Published 20 Apr 2026 · Last source change 20 Apr 2026, 17:43 UTC · CWE-59 · Improper Link Resolution Before File Access ('Link Following')

CVE recordCVE.org · 5.2
CVSS sourceCNA
EPSS source
?The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.
FIRST · tracked since 2026-08-14
European sourceENISA EUVD · EUVD-2026-23901
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD enriched

Core structured fields are present and their contributing authorities are shown above.

Material change intelligence

What changed after publication

View recent updates ↗
  1. Affected versionsThe structured affected or fixed version information changed.
    Before
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-rhel9 as a component of Lightspeed Core; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-spyre-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/disk-image-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-vllm-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-vllm-rocm-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 11 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:264726e334c529ad8a6e8f0fb1591cff3360fc57b9bfec4d937852e8c636547a_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:4f334f34591be73a659548d4f2f3f59bff8ba7e2c76863d9eb81ed67c3c78e75_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:c14363d97da2591ea16578d2825ac7841102bcd205f0d014bc04697257b9c907_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:e66798c501870aded1197e33098b181135d7465275f7b18969ac73846db2ae6b_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:295002a40f4e50912d15e5e101306f2281be8dbf6440c4573d56098ad35745d5_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:93b09e8400609e2507c4909d446e00f709d3c1e1c2f5f18f0e9d83f215c5e7b6_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:b332d45519f1d5ea72c3e0ad5cfa2c182a8f9fbba682bd3a86734999e33519e4_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:bb17450a5a8ff1ff4b364523e0b19cd2913f560f10e0214a0405ee18d2a36fd1_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/mta/mta-solution-server-rhel9@sha256:21fab4b77580795980fd60b24ab1d6a3cc159a9246beccd1c19938bca94edd23_amd64 as a component of Red Hat Migration Toolkit for Applications 8.2; registry.redhat.io/mta/mta-solution-server-rhel9@sha256:f8c8651cc5fa016003ef4105f28775e0b225472d2c3135e5f37d1e1f748c515e_arm64 as a component of Red Hat Migration Toolkit for Applications 8.2; registry.redhat.io/rhoai/odh-caikit-tgis-serving-rhel9@sha256:a0c8ff589a81bc631bd3adda0788b97aab32de3c63db56e18ae133dba0e8ebf6_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-caikit-tgis-serving-rhel9@sha256:e48f70c613cc800604db3e2d3f373a7916936d89c9bcf69ca974eaace824edb2_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:c510b7c774ea1af28f87bc6fcde10d9cf850fa758bffbc8d7b8059d607265134_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:d81343eddb16f8557b2602f4c155185418f586288c6c408bb8526b45fdb41a81_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:e7ce8f715192fca89c84448d1777f9f399bf86fac2268718863362742c8bf11e_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:41fd37da638abc828640099d168a6119ee2bef46aef17a7ae00b19d9055a9458_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:63ff2c748fb815bb272563a95823018ed7db8dc32029a658508d6be8807915ef_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:a0e792ee85851455eccdd6f5f103de9f8f2bedb767d14b5faea98939c57d291e_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:c875d79ee43156aeb79f02402d31024f551ae5691283f64ddfc974af4f9f451e_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-llama-stack-core-rhel9@sha256:513923c7b5f7dcfb80be58476429560ea167f7ef95e5f92add823602508643ae_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-llama-stack-core-rhel9@sha256:c2c09ca156aa93f4c435de49bfdce6bf31530515cc77b1b2e0020f34551c5cae_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-vllm-gaudi-rhel9@sha256:281b9d7c85e6dcac3f06dd21c70a691767a62eee485e83ed0d5ef9785d630c3e_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:41f5165833f8ab076d365853684060f5844162e1476aff93e8fb7bffc7f8d44c_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:d33eaa27707972bdc372121f04178475b6baf417d96b59e5dbc55c7f5fb4489d_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:fd4f43e5c4df97bf945ff72c08fe561eac6dd27545a75ecd37139a53844a3854_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlserver-rhel9@sha256:c90698f7a11bef7be3b369e154403766444640001a49fadb4fcd38e1a6b0fd3e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlserver-rhel9@sha256:e0f2fa113e210b4ff15c755ab1cfd429e1908bb229750af26ff66dab97676a82_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-training-cuda128-torch29-py312-rhel9@sha256:d019a56865201915b0f7d01bd07edf08db55349a09f7af611c3caec25a4d5a75_amd64 as a component of Red Hat OpenShift AI 3.3; and 8 more
    After
    lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-rhel9 as a component of Lightspeed Core; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-spyre-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhelai3/disk-image-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3; rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-vllm-cuda-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-vllm-rocm-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); python-dotenv.src as a component of Red Hat Satellite 6; satellite/foreman-mcp-server-rhel9 as a component of Red Hat Satellite 6 · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:7424dba120d55743add1b9ddad5290d8a5fbd01eb0e57321c996e562ef8416ed_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:c17e6f7e40e6de8a08799b65ce90092d09340dd7f92378ca26dd38cf8c2e870f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:264726e334c529ad8a6e8f0fb1591cff3360fc57b9bfec4d937852e8c636547a_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:4f334f34591be73a659548d4f2f3f59bff8ba7e2c76863d9eb81ed67c3c78e75_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:c14363d97da2591ea16578d2825ac7841102bcd205f0d014bc04697257b9c907_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/lightspeed-chatbot-rhel9@sha256:e66798c501870aded1197e33098b181135d7465275f7b18969ac73846db2ae6b_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:295002a40f4e50912d15e5e101306f2281be8dbf6440c4573d56098ad35745d5_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:93b09e8400609e2507c4909d446e00f709d3c1e1c2f5f18f0e9d83f215c5e7b6_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:b332d45519f1d5ea72c3e0ad5cfa2c182a8f9fbba682bd3a86734999e33519e4_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:bb17450a5a8ff1ff4b364523e0b19cd2913f560f10e0214a0405ee18d2a36fd1_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/mta/mta-solution-server-rhel9@sha256:21fab4b77580795980fd60b24ab1d6a3cc159a9246beccd1c19938bca94edd23_amd64 as a component of Red Hat Migration Toolkit for Applications 8.2; registry.redhat.io/mta/mta-solution-server-rhel9@sha256:f8c8651cc5fa016003ef4105f28775e0b225472d2c3135e5f37d1e1f748c515e_arm64 as a component of Red Hat Migration Toolkit for Applications 8.2; registry.redhat.io/rhoai/odh-caikit-tgis-serving-rhel9@sha256:a0c8ff589a81bc631bd3adda0788b97aab32de3c63db56e18ae133dba0e8ebf6_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-caikit-tgis-serving-rhel9@sha256:e48f70c613cc800604db3e2d3f373a7916936d89c9bcf69ca974eaace824edb2_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:c510b7c774ea1af28f87bc6fcde10d9cf850fa758bffbc8d7b8059d607265134_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:d81343eddb16f8557b2602f4c155185418f586288c6c408bb8526b45fdb41a81_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:e7ce8f715192fca89c84448d1777f9f399bf86fac2268718863362742c8bf11e_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:41fd37da638abc828640099d168a6119ee2bef46aef17a7ae00b19d9055a9458_s390x as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:63ff2c748fb815bb272563a95823018ed7db8dc32029a658508d6be8807915ef_ppc64le as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:a0e792ee85851455eccdd6f5f103de9f8f2bedb767d14b5faea98939c57d291e_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9@sha256:c875d79ee43156aeb79f02402d31024f551ae5691283f64ddfc974af4f9f451e_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-llama-stack-core-rhel9@sha256:513923c7b5f7dcfb80be58476429560ea167f7ef95e5f92add823602508643ae_arm64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-llama-stack-core-rhel9@sha256:c2c09ca156aa93f4c435de49bfdce6bf31530515cc77b1b2e0020f34551c5cae_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-vllm-gaudi-rhel9@sha256:281b9d7c85e6dcac3f06dd21c70a691767a62eee485e83ed0d5ef9785d630c3e_amd64 as a component of Red Hat OpenShift AI 2.25; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:41f5165833f8ab076d365853684060f5844162e1476aff93e8fb7bffc7f8d44c_ppc64le as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:d33eaa27707972bdc372121f04178475b6baf417d96b59e5dbc55c7f5fb4489d_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-feature-server-rhel9@sha256:fd4f43e5c4df97bf945ff72c08fe561eac6dd27545a75ecd37139a53844a3854_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlserver-rhel9@sha256:c90698f7a11bef7be3b369e154403766444640001a49fadb4fcd38e1a6b0fd3e_amd64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-mlserver-rhel9@sha256:e0f2fa113e210b4ff15c755ab1cfd429e1908bb229750af26ff66dab97676a82_arm64 as a component of Red Hat OpenShift AI 3.3; registry.redhat.io/rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9@sha256:677738b64782907315094e23056ec589e30fc4b2ef631cac7603c5b442dad40c_s390x as a component of Red Hat OpenShift AI 3.3; and 30 more
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    < 1.2.2 · Fixed: An authoritative update reference is available, but the fixed version is not recorded in the structured CVE fields. Check the linked vendor advisory for the applicable release.
    After
    < 1.2.2 · Fixed: For more information visit https://access.redhat.com/errata/RHSA-2026:61628
    Red Hat Product Security ↗
Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
CVE published
Fixed release or patch reference recorded
Fixed release recorded from official guidance
Fixed release recorded from official guidance
ENISA EUVD · EUVD-2026-23901↗Red Hat Product Security security advisory↗CISA Vulnrichment SSVC evidence↗Public exploit reference · GitHub GHSA-MF9W-MJ56-HR94↗Patch or update reference↗Official CVE record (CNA and ADP data)↗NVD record↗
Technical terms and abbreviations used in this report
CVE
Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
CVSS
Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
EPSS
Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
CWE
Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
CNA
CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
CISA ADP
Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
NVD
National Vulnerability Database: NIST's enrichment service for CVE records.
CERT / CSIRT
A computer security incident response team that publishes warnings or coordinates incident response.
PoC
Proof of concept: public material that demonstrates or helps reproduce exploitation.
CSAF
Common Security Advisory Framework: a machine-readable format for security advisories.
LoTL
Living off the land: abuse of legitimate tools or system functions during an attack.
Free version - for non-commercial use only.CVE-2026-28684 · cve.blacktree.nl