{"id":36156,"date":"2025-05-07T23:38:58","date_gmt":"2025-05-07T23:38:58","guid":{"rendered":""},"modified":"2025-09-03T04:05:59","modified_gmt":"2025-09-03T10:05:59","slug":"cve-2025-23254-nvidia-tensorrt-llm-python-executor-data-validation-vulnerability","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-23254-nvidia-tensorrt-llm-python-executor-data-validation-vulnerability\/","title":{"rendered":"CVE-2025-23254: NVIDIA TensorRT-LLM Python Executor Data Validation Vulnerability<\/strong>"},"content":{"rendered":"

Overview<\/strong><\/p>\n

A critical vulnerability has been identified in NVIDIA’s TensorRT-LLM platform, specifically affecting its python executor. This vulnerability, designated as CVE-2025-23254, presents a significant risk to businesses and individuals utilizing NVIDIA TensorRT-LLM. The vulnerability enables an attacker with local<\/a> access to the TRTLLM server to exploit a data validation flaw, leading to potential compromise of the system and potential data leakage.
\nThe severity of this vulnerability<\/a> cannot be understated. As it may lead to code execution<\/a>, information disclosure, and data tampering, it poses a serious threat to the integrity of systems and data. Therefore, swift action is needed to mitigate the risks associated with CVE-2025-23254.<\/p>\n

Vulnerability Summary<\/strong><\/p>\n

CVE ID: CVE-2025-23254
\nSeverity: Critical (CVSS 8.8)
\nAttack Vector: Local
\nPrivileges Required: Low
\nUser Interaction: None
\nImpact: System compromise<\/a>, information disclosure, and data tampering<\/p>\n

Affected Products<\/strong><\/p>\n

Product | Affected Versions<\/p>\n

NVIDIA TensorRT-LLM | All versions prior<\/a> to the patch<\/p>\n

How the Exploit Works<\/strong><\/p>\n

The vulnerability lies in the Python<\/a> executor of NVIDIA’s TensorRT-LLM. An attacker with local access can trigger a data validation issue, causing the system to execute malicious code<\/a> or disclose sensitive information. This is likely due to a flaw in how the Python executor handles certain types of data or requests, allowing unexpected and potentially<\/a> harmful input to be processed.<\/p>\n

Conceptual Example Code<\/strong><\/p>\n

The following is a conceptual example of how this vulnerability<\/a> might be exploited:<\/p>\n

# Connect to local TRTLLM server\nconnection = connect_to_trtllm_server()\n# Craft malicious payload\nmalicious_payload = create_malicious_payload()\n# Send the payload to the Python executor\nresponse = connection.send_payload_to_python_executor(malicious_payload)\n# If the exploit is successful, the response will contain sensitive data or grant control of the system\nif exploit_successful(response):\nprint(\"Exploit successful!\")<\/code><\/pre>\n
In this example, `connect_to_trtllm_server()`, `create_malicious_payload()`, and `exploit_successful()` are placeholders for functions that an attacker might use to connect to the server, craft a malicious payload, and verify the success of the exploit<\/a>, respectively. This is a hypothetical example and does not represent an actual exploit.<\/p>\n
Mitigation and Remediation<\/strong><\/p>\n
Users of NVIDIA’s TensorRT-LLM<\/a> should immediately apply the vendor’s patch to mitigate the vulnerability. If the patch cannot be applied immediately, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can serve as temporary mitigation. However, these are not long-term solutions and the vendor’s patch should be applied as soon as possible.<\/p>\n","protected":false},"excerpt":{"rendered":"
Overview A critical vulnerability has been identified in NVIDIA’s TensorRT-LLM platform, specifically affecting its python executor. This vulnerability, designated as CVE-2025-23254, presents a significant risk to businesses and individuals utilizing NVIDIA TensorRT-LLM. The vulnerability enables an attacker with local access to the TRTLLM server to exploit a data validation flaw, leading to potential compromise of […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"vendor":[83],"product":[],"attack_vector":[],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-36156","post","type-post","status-publish","format-standard","hentry","category-uncategorized","vendor-nvidia"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t