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Full vulnerability report · 2026
CVE-2026-59881High confidence

AIOHTTP: WebSocket client accepts compressed frames without negotiated permessage-deflate

aio-libs · aiohttp

Official source article: GitHub GHSA-MQ44-7P77-Q5H7 ↗. Check the applicable product and release in the original source.

6.9MediumCVSS 4.0
Recommended action
Patch only the product branches with a verified fix

Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority. Verified remediation exists for at least one product or source, but 2 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.
  • The selected CVSS metric records a network-reachable, unauthenticated path with no user interaction.
  • EPSS is 0.52% for the current model date.

Compensating controls

  • Validate the affected product branch and deploy the verified fixed release.
  • Restrict the affected network interface to trusted sources where business-safe.
  • Monitor vendor guidance and exploitation sources for a material change.

Verification

  1. Confirm that the asset runs aio-libs aiohttp 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 2 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 2 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-aiohttpAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 7 Oct 2026
Debian bookwormbookworm · sourcepython-aiohttpAffected, no fix publishedDebian currently tracks this release as open.Not published in this feedDebian Security Tracker ↗Source updated 7 Oct 2026
Debian forkyforky · sourcepython-aiohttpVendor fix publishedDebian records a fixed source-package version for this release.3.14.3-1Debian Security Tracker ↗Source updated 7 Oct 2026
Debian sidsid · sourcepython-aiohttpVendor fix publishedDebian records a fixed source-package version for this release.3.14.3-1Debian Security Tracker ↗Source updated 7 Oct 2026
Ubuntu 24.04 LTSnoble · esm-appspython-aiohttpUnder evaluationCanonical reports that the package might be affected and still needs evaluation or fixing.Not published in this feedCanonical Ubuntu Security ↗Source updated 6 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
PyPIaiohttpECOSYSTEM: introduced 0; fixed 3.14.23.14.2OSV record ↗aggregator derived · 10 Sep 2026
pipaiohttp<= 3.14.13.14.2GitHub advisory ↗upstream repository advisory · 3 Aug 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-2026-59881 · CSAF 2.0 · revision 3 · finalRed Hat Product Securityaiohttp: AIOHTTP: Denial of Service via unnegotiated WebSocket compression
129 known affected

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

  • exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence
  • lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core
  • lightspeed-core/rag-tool-cpu-rhel9 as a component of Lightspeed Core
  • lightspeed-core/rag-tool-cuda-12.9-rhel9 as a component of Lightspeed Core
  • mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8
  • openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed
  • openshift-lightspeed/lightspeed-ocp-rag-rhel9 as a component of OpenShift Lightspeed
  • openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed
  • rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server
  • rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server
  • rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server
Summary
A flaw was found in AIOHTTP. The WebSocket client in AIOHTTP processes compressed data frames even when the compression mechanism, known as permessage-deflate, has not been properly negotiated. A malicious server can exploit this by sending specially crafted compressed frames. This can lead to unexpected and excessive consumption of the system's central processing unit (CPU) and memory, potentially resulting in a denial of service (DoS) for legitimate users.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2026:73859
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-2026-51257

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 no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority. Verified remediation exists for at least one product or source, but 2 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

AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.2, the WebSocket client accepts and decompresses frames with the RSV1 bit set even when the permessage-deflate extension was not negotiated, allowing a malicious server to cause unexpected CPU and memory consumption. This issue is fixed in version 3.14.2.

What

AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.2, the WebSocket client accepts and decompresses frames with the RSV1 bit set even when the permessage-deflate extension was not negotiated, allowing a malicious server to cause unexpected CPU and memory consumption. This issue is fixed in version 3.14.2.

Why

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.

What

AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to 3.14.2, the WebSocket client accepts and decompresses frames with the RSV1 bit set even when the permessage-deflate extension was not negotiated, allowing a malicious server to cause unexpected CPU and memory consumption. This issue is fixed in version 3.14.2.

Why

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. 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.
None recorded

No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.

Likely attack path
a network path → Improper Input Validation → cause the confidentiality, integrity or availability impact described by the vendor
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Not a CVSS 4.0 base metric
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-20 ↗

CWE-20: Improper Input Validation. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Common Vulnerability Scoring System 4.0: the compact vector below is decoded into plain language.

AVNetworkAttack vector: The vulnerable component can be reached over a network.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.ATNoneAttack requirements: No additional deployment or execution condition is required.PRNonePrivileges required: The attacker does not need an account or existing privileges.UINoneUser interaction: No action by another user is required.VCNoneVulnerable-system confidentiality: No direct loss is represented by this metric.VINoneVulnerable-system integrity: No direct loss is represented by this metric.VALowVulnerable-system availability: A successful attack can cause a limited loss.SCNoneSubsequent-system confidentiality: No direct loss is represented by this metric.SINoneSubsequent-system integrity: No direct loss is represented by this metric.SANoneSubsequent-system availability: No direct loss is represented by this metric.
Post-exploitation / living off the land
No specific living-off-the-land technique is confirmed in the structured sources. Monitor normal administration tools for activity inconsistent with the affected service's baseline.
NetworkUnauthenticatedCWE-20
A

Official authority intelligence

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

Cyber Security Agency of Singapore · English · CSA-SB-20260805Security Bulletin 5 Aug 2026

The Cyber Security Agency of Singapore included this CVE in its official Security Bulletin 5 Aug 2026, published on 5 August 2026. Open the linked bulletin for the product, severity and reference information published in that issue.

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. If business-safe, reduce exposure to the affected interface and allow only trusted sources until authoritative guidance is available.
04

Evidence and provenance

Published 30 Jul 2026 · Last source change 30 Jul 2026, 18:35 UTC · CWE-20 · Improper Input Validation

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-2026-51257
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD not scheduled

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

Material change intelligence

What changed after publication

View recent updates ↗
  1. Vendor guidanceAuthoritative vendor guidance changed from remediation: access.redhat.com/CVE-2026-59881 to remediation: access.redhat.com/CVE-2026-59881.
    Before
    remediation: access.redhat.com/CVE-2026-59881
    After
    remediation: access.redhat.com/CVE-2026-59881
    Red Hat Product Security ↗
  2. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cpu-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cuda-12.9-rhel9 as a component of Lightspeed Core; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-ocp-rag-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/model-opt-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/model-opt-cuda-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-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; and 101 more · Fixed: registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:81c5994dc20321f8bd3969099eade78ef127cbd79f2d0ccea101c773e4c7fa4d_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:0d22e2301ce26ef68effda5d3a4a20381ad0ea34d1240e159e245bd44c2e125b_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:e491c3b169ec77c37dbe0eb9c2b35dd976ca6e968f43b5d72ad5c4095f48d2ed_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:1a30359d6ca5d0891e403b9b0a23c0ae1ad6e30a2429b9b42e246b874fe8859a_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:11ad6e13c41728944d933c7abe01d1d10ecb3f8e8b4f0da50ec53b7df6f036a8_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:340cecbac6b168cb0414f242832f153e6f3655052bfd98252f9e2d507509cabf_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:40c5ed966b693ab9b6f1e71455c04eb42c5c0010c356ab5526218ab3034bede2_s390x as a component of Red Hat AI Inference Server 3.4
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cpu-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cuda-12.9-rhel9 as a component of Lightspeed Core; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-ocp-rag-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-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-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-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; and 99 more · Fixed: registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:21b442fe95dad818d3f64febb182c094561da7b1beaf9fe45af6f98acd677415_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/model-opt-cuda-rhel9@sha256:6d8b2315d788ea84133545e073a7c5fe75307536fe775653ea52f692b9e4629d_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:48c3099bf3d2f7df4cd0ba7ad48671ffa5b871cac158a3172b6a5b6ab6c9e6ae_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:80e44bc4e668045aaff6c5e2271c17c2fe2b2a34407915ed05ad9769fa37f6e7_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:65a8e8621aed5efaf029f04a7a3501c3a451113dc2ca8ec7295557f9e8e6916b_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:81c5994dc20321f8bd3969099eade78ef127cbd79f2d0ccea101c773e4c7fa4d_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:0d22e2301ce26ef68effda5d3a4a20381ad0ea34d1240e159e245bd44c2e125b_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:e491c3b169ec77c37dbe0eb9c2b35dd976ca6e968f43b5d72ad5c4095f48d2ed_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:1a30359d6ca5d0891e403b9b0a23c0ae1ad6e30a2429b9b42e246b874fe8859a_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:11ad6e13c41728944d933c7abe01d1d10ecb3f8e8b4f0da50ec53b7df6f036a8_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:340cecbac6b168cb0414f242832f153e6f3655052bfd98252f9e2d507509cabf_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:40c5ed966b693ab9b6f1e71455c04eb42c5c0010c356ab5526218ab3034bede2_s390x as a component of Red Hat AI Inference Server 3.4
    Red Hat Product Security ↗
  3. Vendor guidanceAuthoritative vendor guidance changed from remediation: access.redhat.com/CVE-2026-59881 to remediation: access.redhat.com/CVE-2026-59881.
    Before
    remediation: access.redhat.com/CVE-2026-59881
    After
    remediation: access.redhat.com/CVE-2026-59881
    Red Hat Product Security ↗
  4. Remediation statusRemediation status changed from Mitigation available to Patch available.
    Before
    Mitigation available
    After
    Patch available
    Red Hat Product Security ↗
  5. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cpu-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cuda-12.9-rhel9 as a component of Lightspeed Core; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-ocp-rag-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/model-opt-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-spyre-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/model-opt-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/vllm-cuda-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/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; and 108 more
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; lightspeed-core/lightspeed-stack-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cpu-rhel9 as a component of Lightspeed Core; lightspeed-core/rag-tool-cuda-12.9-rhel9 as a component of Lightspeed Core; mta/mta-solution-server-rhel9 as a component of Migration Toolkit for Applications 8; openshift-lightspeed-tech-preview/lightspeed-rag-tool-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-ocp-rag-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/model-opt-cuda-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server; rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server; rhaiis/model-opt-cuda-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-tpu-rhel9 as a component of Red Hat AI Inference Server; ansible-automation-platform-24/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/de-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-24/lightspeed-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/controller-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/de-minimal-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/de-minimal-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/ee-supported-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-25/hub-rhel8 as a component of Red Hat Ansible Automation Platform 2; and 101 more · Fixed: registry.redhat.io/rhaii/vllm-cpu-rhel9@sha256:81c5994dc20321f8bd3969099eade78ef127cbd79f2d0ccea101c773e4c7fa4d_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:0d22e2301ce26ef68effda5d3a4a20381ad0ea34d1240e159e245bd44c2e125b_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-cuda-rhel9@sha256:e491c3b169ec77c37dbe0eb9c2b35dd976ca6e968f43b5d72ad5c4095f48d2ed_arm64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-rocm-rhel9@sha256:1a30359d6ca5d0891e403b9b0a23c0ae1ad6e30a2429b9b42e246b874fe8859a_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:11ad6e13c41728944d933c7abe01d1d10ecb3f8e8b4f0da50ec53b7df6f036a8_amd64 as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:340cecbac6b168cb0414f242832f153e6f3655052bfd98252f9e2d507509cabf_ppc64le as a component of Red Hat AI Inference Server 3.4; registry.redhat.io/rhaii/vllm-spyre-rhel9@sha256:40c5ed966b693ab9b6f1e71455c04eb42c5c0010c356ab5526218ab3034bede2_s390x as a component of Red Hat AI Inference Server 3.4
    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
ENISA EUVD · EUVD-2026-51257↗Vendor CSAF · Red Hat Product Security↗CVE authority or vendor reference · GitHub GHSA-MQ44-7P77-Q5H7↗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-2026-59881 · cve.blacktree.nl