You are viewing this page in an unauthorized frame window.
This is a potential security issue, you are being redirected to
https://nvd.nist.gov
An official website of the United States government
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock () or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.
This CVE record has been updated after NVD enrichment efforts were completed. Enrichment data supplied by the NVD may require amendment due to these changes.
Description
AI Tensor Engine for ROCm (AITER) through 0.1.14 contains an unauthenticated remote code execution vulnerability in the MessageQueue.recv() function within shm_broadcast.py that allows unauthenticated remote attackers to execute arbitrary code by sending a malicious pickle payload to a ZMQ SUB socket with no authentication, HMAC, or format validation. Attackers who can reach the writer XPUB endpoint on the cluster network or supply a forged Handle with an attacker-controlled remote_subscribe_addr can deliver a crafted pickle payload that executes arbitrary code simultaneously as the inference worker process on every remote reader worker.
Metrics
NVD enrichment efforts reference publicly available information to associate
vector strings. CVSS information contributed by other sources is also
displayed.
By selecting these links, you will be leaving NIST webspace.
We have provided these links to other web sites because they
may have information that would be of interest to you. No
inferences should be drawn on account of other sites being
referenced, or not, from this page. There may be other web
sites that are more appropriate for your purpose. NIST does
not necessarily endorse the views expressed, or concur with
the facts presented on these sites. Further, NIST does not
endorse any commercial products that may be mentioned on
these sites. Please address comments about this page to [email protected].
[{"vendor":"Red Hat","product":"Red Hat AI Inference Server","defaultStatus":"affected","cpes":["cpe:/a:redhat:ai_inference_server:3"]},{"vendor":"Red Hat","product":"Red Hat Enterprise Linux AI (RHEL AI) 3","defaultStatus":"affected","cpes":["cpe:/a:redhat:enterprise_linux_ai:3"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","cpes":["cpe:/a:redhat:openshift_ai"]}]
[{"vendor":"Red Hat","product":"Red Hat AI Inference Server","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhaiis/vllm-rocm-rhel9","cpes":["cpe:/a:redhat:ai_inference_server:3"]},{"vendor":"Red Hat","product":"Red Hat AI Inference Server","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhaii/vllm-rocm-rhel9","cpes":["cpe:/a:redhat:ai_inference_server:3"]},{"vendor":"Red Hat","product":"Red Hat Enterprise Linux AI (RHEL AI) 3","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhelai3/bootc-azure-rocm-rhel9","cpes":["cpe:/a:redhat:enterprise_linux_ai:3"]},{"vendor":"Red Hat","product":"Red Hat Enterprise Linux AI (RHEL AI) 3","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhelai3/bootc-rocm-rhel9","cpes":["cpe:/a:redhat:enterprise_linux_ai:3"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","collectionURL":"https://access.redhat.com/downloads/content/package-browser/","packageName":"rhoai/odh-vllm-rocm-rhel9","cpes":["cpe:/a:redhat:openshift_ai"]}]
[{"vendor":"Red Hat","product":"Red Hat AI Inference Server","defaultStatus":"affected","cpes":["cpe:/a:redhat:ai_inference_server:3"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","cpes":["cpe:/a:redhat:openshift_ai"]}]
[{"vendor":"Red Hat","product":"Red Hat AI Inference Server","defaultStatus":"affected","cpes":["cpe:/a:redhat:ai_inference_server:3"]},{"vendor":"Red Hat","product":"Red Hat Enterprise Linux AI (RHEL AI) 3","defaultStatus":"affected","cpes":["cpe:/a:redhat:enterprise_linux_ai:3"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","cpes":["cpe:/a:redhat:openshift_ai"]}]
[{"vendor":"Red Hat","product":"Red Hat AI Inference Server","defaultStatus":"affected","cpes":["cpe:/a:redhat:ai_inference_server:3"]},{"vendor":"Red Hat","product":"Red Hat OpenShift AI (RHOAI)","defaultStatus":"affected","cpes":["cpe:/a:redhat:openshift_ai"]}]
VulnCheck: https://www.vulncheck.com/advisories/ai-tensor-engine-for-rocm-aiter-unauthenticated-rce-via-messagequeue-recv-pickle-deserialization Types: Third Party Advisory
CVE Modified by CISA-ADP6/02/2026 4:16:39 PM
Action
Type
Old Value
New Value
Added
Reference
https://github.com/ROCm/aiter/issues/3076
New CVE Received from VulnCheck6/01/2026 3:16:54 PM
Action
Type
Old Value
New Value
Added
Description
AI Tensor Engine for ROCm (AITER) through 0.1.14 contains an unauthenticated remote code execution vulnerability in the MessageQueue.recv() function within shm_broadcast.py that allows unauthenticated remote attackers to execute arbitrary code by sending a malicious pickle payload to a ZMQ SUB socket with no authentication, HMAC, or format validation. Attackers who can reach the writer XPUB endpoint on the cluster network or supply a forged Handle with an attacker-controlled remote_subscribe_addr can deliver a crafted pickle payload that executes arbitrary code simultaneously as the inference worker process on every remote reader worker.