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Full vulnerability report · 2026
CVE-2026-48746High confidence

vLLM: OpenAI auth bypass

vllm-project · vllm

9.1CriticalCVSS 3.1
Recommended action
Within 72 hours

Critical technical impact with a remotely reachable, unauthenticated path and a public exploit reference; no CISA KEV confirmation is currently recorded.

Patch available
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-2026-48746 · CSAF 2.0 · revision 3 · finalRed Hat Product Securityvllm: starlette: vLLM: Critical authentication bypass allows unauthorized API access
44 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
  • openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed
  • openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed
  • rhaii/vllm-cpu-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-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/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-spyre-rhel9 as a component of Red Hat AI Inference Server
  • rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server
Summary
A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). This vulnerability, residing in ASGI web servers and Starlette's trust in them, allows an attacker to bypass the OpenAI API Authentication Middleware. This bypass enables unauthorized access to the API without requiring the configured VLLM_API_KEY or --api-key, leading to critical unauthorized operations.
Remediation
For more information visit https://access.redhat.com/errata/RHSA-2026:61627
Optional official sources

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

Select the national-authority views to include. The exact source language is shown on each matched advisory. Your choice is remembered on this device and encoded in the shareable URL.

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-2026-38401

No EUVD known-exploited evidence

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

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
9.1 · CVSS 3.1
Advisory evidence
No linked advisory details stored yet
Recommended actionWithin 72 hours

Critical technical impact with a remotely reachable, unauthenticated path and a public exploit reference; no CISA KEV confirmation is currently recorded.

Patch available
01

What, why and how

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

What

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

Why

The product acts as an intermediary HTTP agent (such as a proxy or firewall) in the data flow between two entities such as a client and server, but it does not interpret malformed HTTP requests or responses in ways that are consistent with how the messages will be processed by those entities that are at the ultimate destination.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may bypass an access boundary or take over an account.

What

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

Why

The product acts as an intermediary HTTP agent (such as a proxy or firewall) in the data flow between two entities such as a client and server, but it does not interpret malformed HTTP requests or responses in ways that are consistent with how the messages will be processed by those entities that are at the ultimate destination.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may bypass an access boundary or take over an account.

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

CISA Vulnrichment records proof-of-concept exploitation in its SSVC data. BlackTree has not independently executed or validated exploit material.

Likely attack path
a network path → Inconsistent Interpretation of HTTP Requests ('HTTP Request/Response Smuggling') → bypass an access boundary or take over an account
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
None
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-444

CWE-444: Inconsistent Interpretation of HTTP Requests ('HTTP Request/Response Smuggling'). The product acts as an intermediary HTTP agent (such as a proxy or firewall) in the data flow between two entities such as a client and server, but it does not interpret malformed HTTP requests or responses in ways that are consistent with how the messages will be processed by those entities that are at the ultimate destination.

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

Common Vulnerability Scoring System 3.1: 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.PRNonePrivileges required: The attacker does not need an account or existing privileges.UINoneUser interaction: No action by another user is required.SUnchangedScope: The security impact remains within the vulnerable component's authority.CHighConfidentiality impact: A successful attack can cause a major loss.INoneIntegrity impact: No direct loss is represented by this metric.AHighAvailability impact: A successful attack can cause a major loss.
Post-exploitation / living off the land
Stolen credentials, tokens and legitimate administration functions may provide continued access without deploying a large custom toolset.
NetworkUnauthenticatedCWE-444Public exploit reference
A

Official authority intelligence

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

ENISA EUVD · EUVD-2026-38401Official EUVD mapping

vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It allows to use the API without providing the configured VLLM_API_KEY or --api-key. This vulnerability is fixed in 0.22.0.

Official EUVD record
BSI · German · WID-SEC-W-2026-1974vllm: Schwachstelle ermöglicht Umgehen von Sicherheitsvorkehrungen

Ein entfernter, anonymer Angreifer kann eine Schwachstelle in vllm ausnutzen, um Sicherheitsvorkehrungen zu umgehen.

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.
Patch available
Affected
exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/vllm-cpu-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-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/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-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-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/lightspeed-chatbot-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/lightspeed-chatbot-rhel9 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-gaudi-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-built-in-detector-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-llm-d-kv-cache-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-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 14 more
Fixed
registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:993e84c73225a7c5e2df63756643a26b054b665eb6c15599d9decbbce91b6863_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:230ed627c49991f8052a3fa3f49edd50bd91b0d752853547d8a1c167aab88994_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:2a6bd5b5d8e10957da47dae35529483ec8cf154ef2f4f7b43776888342a79ffb_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:66e86e55356b24f41ba5eae706fc4b9e9037943e8b7492913066db05e3c61d6e_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:e4f69a82e8da2acceb2b109c953794d83c821f338c3b8de17246a7d24d94d33e_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:00f4047821293d2e2691f2c622ad5de474c983ed7d813b56c88d0d4c8b4f933b_amd64 as a component of Red Hat Ansible Automation Platform 2.7; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:e8bb3f309a346e7b0b6514c8ed8fd20ae364352bba2f56fcf3626ec14fe210c3_arm64 as a component of Red Hat Ansible Automation Platform 2.7; 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
Action
For more information visit https://access.redhat.com/errata/RHSA-2026:61627
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 22 Jun 2026 · Last source change 1 Sept 2026, 12:04 UTC · CWE-444 · Inconsistent Interpretation of HTTP Requests ('HTTP Request/Response Smuggling')

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-2026-38401
Product sourceVendor CSAF · Red Hat Product Security
Remediation sourceVendor CSAF · Red Hat Product Security
CWE sourceCNA
NVD statusNVD modified after enrichment

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 vendor advisory to no authoritative guidance recorded.
    Before
    vendor advisory
    After
    no authoritative guidance recorded
    CNA
  2. Vendor guidanceAuthoritative vendor guidance changed from no authoritative guidance recorded to vendor advisory.
    Before
    no authoritative guidance recorded
    After
    vendor advisory
    0b0ca135-0b70-47e7-9f44-1890c2a1c46c
  3. Vendor guidanceAuthoritative vendor guidance changed from authoritative remediation link to authoritative remediation link.
    Before
    authoritative remediation link
    After
    authoritative remediation link
    Red Hat Product Security
  4. Affected versionsThe structured affected or fixed version information changed.
    Before
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/vllm-cpu-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-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/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-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-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/lightspeed-chatbot-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/lightspeed-chatbot-rhel9 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-gaudi-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-built-in-detector-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-llm-d-kv-cache-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-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 14 more · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:993e84c73225a7c5e2df63756643a26b054b665eb6c15599d9decbbce91b6863_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:230ed627c49991f8052a3fa3f49edd50bd91b0d752853547d8a1c167aab88994_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:2a6bd5b5d8e10957da47dae35529483ec8cf154ef2f4f7b43776888342a79ffb_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:66e86e55356b24f41ba5eae706fc4b9e9037943e8b7492913066db05e3c61d6e_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:e4f69a82e8da2acceb2b109c953794d83c821f338c3b8de17246a7d24d94d33e_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:00f4047821293d2e2691f2c622ad5de474c983ed7d813b56c88d0d4c8b4f933b_amd64 as a component of Red Hat Ansible Automation Platform 2.7; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:e8bb3f309a346e7b0b6514c8ed8fd20ae364352bba2f56fcf3626ec14fe210c3_arm64 as a component of Red Hat Ansible Automation Platform 2.7; 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
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/vllm-cpu-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-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/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-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-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/lightspeed-chatbot-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/lightspeed-chatbot-rhel9 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-gaudi-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-built-in-detector-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-llm-d-kv-cache-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-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 14 more · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:44224455142130c9594b4361fd21494c88244acb59b242f31ecb66019a5238dd_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:e2a077acf23766ef900942296ce963a624d2c4b45ff22ca77cadeb94c051fd95_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7536efb184e4161d6b8a11477392b93613408c7d68daebb5cbad73b57a985e26_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:993e84c73225a7c5e2df63756643a26b054b665eb6c15599d9decbbce91b6863_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:230ed627c49991f8052a3fa3f49edd50bd91b0d752853547d8a1c167aab88994_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:2a6bd5b5d8e10957da47dae35529483ec8cf154ef2f4f7b43776888342a79ffb_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:66e86e55356b24f41ba5eae706fc4b9e9037943e8b7492913066db05e3c61d6e_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:e4f69a82e8da2acceb2b109c953794d83c821f338c3b8de17246a7d24d94d33e_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:00f4047821293d2e2691f2c622ad5de474c983ed7d813b56c88d0d4c8b4f933b_amd64 as a component of Red Hat Ansible Automation Platform 2.7; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:e8bb3f309a346e7b0b6514c8ed8fd20ae364352bba2f56fcf3626ec14fe210c3_arm64 as a component of Red Hat Ansible Automation Platform 2.7; 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
    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; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/vllm-cpu-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-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/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-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-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/lightspeed-chatbot-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/lightspeed-chatbot-rhel9 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-gaudi-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-built-in-detector-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-llm-d-kv-cache-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); and 15 more · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:993e84c73225a7c5e2df63756643a26b054b665eb6c15599d9decbbce91b6863_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:230ed627c49991f8052a3fa3f49edd50bd91b0d752853547d8a1c167aab88994_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:2a6bd5b5d8e10957da47dae35529483ec8cf154ef2f4f7b43776888342a79ffb_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:66e86e55356b24f41ba5eae706fc4b9e9037943e8b7492913066db05e3c61d6e_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:e4f69a82e8da2acceb2b109c953794d83c821f338c3b8de17246a7d24d94d33e_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:00f4047821293d2e2691f2c622ad5de474c983ed7d813b56c88d0d4c8b4f933b_amd64 as a component of Red Hat Ansible Automation Platform 2.7; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:e8bb3f309a346e7b0b6514c8ed8fd20ae364352bba2f56fcf3626ec14fe210c3_arm64 as a component of Red Hat Ansible Automation Platform 2.7; 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
    After
    exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 as a component of Exploit Intelligence; openshift-lightspeed/lightspeed-agentic-sandbox-rhel9 as a component of OpenShift Lightspeed; openshift-lightspeed/lightspeed-service-api-rhel9 as a component of OpenShift Lightspeed; rhaii/vllm-cpu-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-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/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-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-25/lightspeed-chatbot-rhel8 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-26/lightspeed-chatbot-rhel9 as a component of Red Hat Ansible Automation Platform 2; ansible-automation-platform-27/lightspeed-chatbot-rhel9 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-gaudi-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-built-in-detector-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-caikit-nlp-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-feature-server-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-guardrails-detector-huggingface-runtime-rhel9 as a component of Red Hat OpenShift AI (RHOAI); rhoai/odh-llm-d-kv-cache-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-pytorch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI); and 14 more · Fixed: registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:6b93986199cc8e02e9672374938a2aac7b7452d1bf7d1a8a6445bfe1940f6328_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9533230dd9b2ab392c96f4e8a556ddbebf0be308befdf92691dc7e228da361bf_arm64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:7e61f6b8bbdf8c1e0b04de9ee6cfe0b6ff493a5bd4ad5dc52de2c308d2389d0f_amd64 as a component of Red Hat AI Inference Server 3.2; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:9165ca6c4f41ed4f5cdf5c590bfad74e22abe23737adfdc40a4c4b340b10e309_arm64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:d869df392f711437069fa0c808428694c945d4b79e5dd77c718f68403cd71629_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:993e84c73225a7c5e2df63756643a26b054b665eb6c15599d9decbbce91b6863_amd64 as a component of Red Hat AI Inference Server 3.3; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:230ed627c49991f8052a3fa3f49edd50bd91b0d752853547d8a1c167aab88994_amd64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:2a6bd5b5d8e10957da47dae35529483ec8cf154ef2f4f7b43776888342a79ffb_ppc64le as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:66e86e55356b24f41ba5eae706fc4b9e9037943e8b7492913066db05e3c61d6e_s390x as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-26/mcp-tools-rhel9@sha256:e4f69a82e8da2acceb2b109c953794d83c821f338c3b8de17246a7d24d94d33e_arm64 as a component of Red Hat Ansible Automation Platform 2.6; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:00f4047821293d2e2691f2c622ad5de474c983ed7d813b56c88d0d4c8b4f933b_amd64 as a component of Red Hat Ansible Automation Platform 2.7; registry.redhat.io/ansible-automation-platform-27/mcp-tools-rhel9@sha256:e8bb3f309a346e7b0b6514c8ed8fd20ae364352bba2f56fcf3626ec14fe210c3_arm64 as a component of Red Hat Ansible Automation Platform 2.7; 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
    Red Hat Product Security
Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
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-2026-48746 · cve.blacktree.nl