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"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
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]
}
]
},
{
"acknowledgments": [
{
"names": [
"Vitaly Simonovich"
]
}
],
"cve": "CVE-2026-24226",
"cwe": {
"id": "CWE-829",
"name": "Inclusion of Functionality from Untrusted Control Sphere"
},
"notes": [
{
"category": "summary",
"text": "NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.",
"title": "Vulnerability description"
},
{
"category": "details",
"text": "code execution, data tampering, information disclosure",
"title": "Impacts"
},
{
"category": "details",
"text": "5813192",
"title": "defect"
}
],
"product_status": {
"fixed": [
"all_tensorrtllm_v1_3_0_rc13"
],
"known_affected": [
"all_tensorrtllm_0_0_to_v1_3_0_rc12"
]
},
"references": [
{
"category": "self",
"summary": "NVD",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24226"
},
{
"category": "self",
"summary": "Mitre",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-24226"
}
],
"release_date": "2026-07-14T00:00:00Z",
"scores": [
{
"cvss_v3": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"products": [
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]
}
]
},
{
"cve": "CVE-2026-47470",
"cwe": {
"id": "CWE-20",
"name": "Improper Input Validation"
},
"notes": [
{
"category": "summary",
"text": "NVIDIA TensorRT-LLM for any platform contains a vulnerability in the gRPC server chat API endpoint, where an attacker could cause improper input validation by local attack. A successful exploit of this vulnerability might lead to denial of service.",
"title": "Vulnerability description"
},
{
"category": "details",
"text": "denial of service",
"title": "Impacts"
},
{
"category": "details",
"text": "5923456",
"title": "defect"
}
],
"product_status": {
"fixed": [
"all_tensorrtllm_v1_3_0_rc15"
],
"known_affected": [
"all_tensorrtllm_0_0_to_v1_3_0_rc14"
]
},
"references": [
{
"category": "self",
"summary": "NVD",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-47470"
},
{
"category": "self",
"summary": "Mitre",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47470"
}
],
"release_date": "2026-07-14T00:00:00Z",
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
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]
}
]
},
{
"acknowledgments": [
{
"names": [
"Facundo Fernandez"
]
}
],
"cve": "CVE-2026-47475",
"cwe": {
"id": "CWE-617",
"name": "Reachable Assertion"
},
"notes": [
{
"category": "summary",
"text": "NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API where an attacker could trigger a reachable assertion in the sampler thread. A successful exploit of this vulnerability might lead to denial of service.",
"title": "Vulnerability description"
},
{
"category": "details",
"text": "denial of service",
"title": "Impacts"
},
{
"category": "details",
"text": "5914391",
"title": "defect"
}
],
"product_status": {
"fixed": [
"all_tensorrtllm_v1_3_0_rc16"
],
"known_affected": [
"all_tensorrtllm_0_0_to_v1_3_0_rc15"
]
},
"references": [
{
"category": "self",
"summary": "NVD",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-47475"
},
{
"category": "self",
"summary": "Mitre",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-47475"
}
],
"release_date": "2026-07-14T00:00:00Z",
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
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]
}
]
},
{
"acknowledgments": [
{
"names": [
"Facundo Fernandez"
]
}
],
"cve": "CVE-2026-24271",
"cwe": {
"id": "CWE-770",
"name": "Allocation of Resources Without Limits or Throttling"
},
"notes": [
{
"category": "summary",
"text": "NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API, where an attacker could cause allocation of GPU resources without limits or throttling. A successful exploit of this vulnerability might lead to denial of service.",
"title": "Vulnerability description"
},
{
"category": "details",
"text": "denial of service",
"title": "Impacts"
},
{
"category": "details",
"text": "5944731",
"title": "defect"
}
],
"product_status": {
"fixed": [
"all_tensorrtllm_v1_3_0_rc15"
],
"known_affected": [
"all_tensorrtllm_0_0_to_v1_3_0_rc14"
]
},
"references": [
{
"category": "self",
"summary": "NVD",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24271"
},
{
"category": "self",
"summary": "Mitre",
"url": "https://www.cve.org/CVERecord?id=CVE-2026-24271"
}
],
"release_date": "2026-07-14T00:00:00Z",
"scores": [
{
"cvss_v3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"products": [
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]
}
]
}
]
}