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| Reporter | Title | Published | Views | Family All 14 |
|---|---|---|---|---|
 | The vulnerability of the library for working with large language models NVIDIA TensorRT-LLM, related to deficiencies in the deserialization mechanism, allows attackers to gain access to the TRTLLM server. | 27 Aug 202500:00 | – | bdu_fstec |
 | CVE-2025-23254 | 1 May 202514:15 | – | circl |
 | NVIDIA TensorRT-LLM 代码问题漏洞 | 1 May 202500:00 | – | cnnvd |
 | NVIDIA TensorRT-LLM python executor code issue vulnerability | 7 May 202500:00 | – | cnvd |
 | CVE-2025-23254 | 1 May 202514:05 | – | cve |
 | CVE-2025-23254 | 1 May 202514:05 | – | cvelist |
 | CVE-2025-23254 | 1 May 202514:15 | – | nvd |
 | Security Bulletin: NVIDIA TensorRT LLM - April 2025 | 29 Apr 202500:00 | – | nvidia |
 | PT-2025-18651 | 1 May 202500:00 | – | ptsecurity |
 | CVE-2025-23254 | 9 Jan 202608:48 | – | redhatcve |
10
[
{
"enisaIdVendor": [
{
"id": "dbb25f50-99d6-3e16-91fb-ca75a28414bc",
"vendor": {
"name": "NVIDIA"
}
}
],
"enisaIdProduct": [
{
"id": "af123c84-9348-352d-8416-d30aa4cd4dd3",
"product": {
"name": "TensorRT-LLM"
},
"product_version": "All versions prior to 0.18.2"
}
]
}
]Data
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03 Oct 2025 20:07Current
8.7High risk
Vulners AI Score8.7
CVSS 3.18.8
EPSS0.00249
SSVC