CVE-2026-49121: Deserialization of Untrusted Data in ROCm aiter
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.
AI Analysis
Technical Summary
CVE-2026-49121 is a critical unauthenticated remote code execution vulnerability in ROCm's AI Tensor Engine (AITER) through version 0.1.14. The flaw exists in the MessageQueue.recv() function within shm_broadcast.py, where attackers can send a malicious pickle payload to a ZeroMQ SUB socket that lacks authentication, HMAC, or format validation. By reaching the writer XPUB endpoint or supplying a forged Handle with a controlled remote_subscribe_addr, attackers can execute arbitrary code simultaneously on all remote reader inference worker processes. The vulnerability is classified under CWE-502 (Deserialization of Untrusted Data) and has a CVSS 4.0 score of 9.2, indicating critical severity. No official patch or remediation level is currently stated in the vendor advisory, and no known exploits are reported in the wild.
Potential Impact
Successful exploitation allows unauthenticated remote attackers to execute arbitrary code on inference worker processes across the cluster network, potentially compromising confidentiality, integrity, and availability of the affected systems. This can lead to full system compromise of the AI inference environment running AITER versions up to 0.1.14.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory at https://access.redhat.com/security/cve/CVE-2026-49121 for current remediation guidance. Until an official fix is available, restrict network access to the writer XPUB endpoint and ensure that untrusted users cannot send data to the ZMQ SUB socket. Implement network-level controls to prevent unauthorized access to the cluster network components involved. Monitor vendor communications for updates on patches or official mitigations.
CVE-2026-49121: Deserialization of Untrusted Data in ROCm aiter
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.
CVSS v4.0
Score 9.2critical
Affected software
Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-49121 is a critical unauthenticated remote code execution vulnerability in ROCm's AI Tensor Engine (AITER) through version 0.1.14. The flaw exists in the MessageQueue.recv() function within shm_broadcast.py, where attackers can send a malicious pickle payload to a ZeroMQ SUB socket that lacks authentication, HMAC, or format validation. By reaching the writer XPUB endpoint or supplying a forged Handle with a controlled remote_subscribe_addr, attackers can execute arbitrary code simultaneously on all remote reader inference worker processes. The vulnerability is classified under CWE-502 (Deserialization of Untrusted Data) and has a CVSS 4.0 score of 9.2, indicating critical severity. No official patch or remediation level is currently stated in the vendor advisory, and no known exploits are reported in the wild.
Potential Impact
Successful exploitation allows unauthenticated remote attackers to execute arbitrary code on inference worker processes across the cluster network, potentially compromising confidentiality, integrity, and availability of the affected systems. This can lead to full system compromise of the AI inference environment running AITER versions up to 0.1.14.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory at https://access.redhat.com/security/cve/CVE-2026-49121 for current remediation guidance. Until an official fix is available, restrict network access to the writer XPUB endpoint and ensure that untrusted users cannot send data to the ZMQ SUB socket. Implement network-level controls to prevent unauthorized access to the cluster network components involved. Monitor vendor communications for updates on patches or official mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-05-27T17:40:12.737Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
- Vendor Advisory Urls
- [{"url":"https://access.redhat.com/security/cve/CVE-2026-49121","vendor":"Red Hat"}]
Threat ID: 6a1de30be29bf47b503a571d
Added to database: 06/01/2026, 19:52:43 UTC
Last enriched: 07/16/2026, 09:04:50 UTC
Last updated: 07/31/2026, 19:22:59 UTC
Views: 113
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.