Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain local access to TensorRT-LLM input interface
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ExploitSubmit crafted URL/endpoint to server
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ExecutionServer issues attacker-controlled outbound request
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ImpactDisclose internal/subsequent-system data
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V4 - API and Web Service URL allowlisting, SSRF prevention
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Credential Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | The available sources do not describe the specific feature, protocol, or configuration that triggers the SSRF - the trigger is not described in the available sources, so the exact prerequisite input path cannot be named. What is confirmed is that NVIDIA assigned AV:L, meaning exploitation requires access to a local input vector (an on-host interface, library invocation, or locally reachable API) rather than direct remote network access - this is the primary limiting factor and meaningfully constrains real-world exploitability versus a network-facing SSRF. PR:N indicates no authentication is required once that local vector is reached, and no user interaction is needed (UI:N). The only version identified as affected in the input is TensorRT-LLM 1.3.0rc24; applicability to other versions is not confirmed in the provided data. |
| Impact | This is a moderate-severity SSRF (CWE-918) in NVIDIA TensorRT-LLM, scored 7.1 by NVIDIA with vector CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N. The signals are mixed and some are notably absent. Exploitation status is 'no public exploit identified at time of analysis' - there is no CISA KEV listing, no EPSS score in the input, and the only references are the NVD/CVE.org records and NVIDIA's own product-security advisory page (an advisory, not exploit code). The vuln.today priority is 'this_week', indicating a near-term but not emergency remediation posture, consistent with the absence of KEV/active-exploitation signals. A significant internal tension exists in the data: the weakness class is SSRF, which is conventionally a network-reachable issue, yet NVIDIA (the reporter) assigned AV:L (local attack vector) - this strongly implies the attacker-controlled input reaches the server through a local interface, library call, or on-host API rather than over the open network; verify the exact exposure with NVIDIA's advisory. The scope change (S:C) with C:H/I:N/A:N correctly reflects SSRF's hallmark: no direct compromise of the vulnerable host, but confidential information from other reachable systems (e.g., internal services, cloud instance metadata) can be disclosed. Net assessment: a credible 'this_week' patch candidate for teams running the affected build, but the AV:L vector materially lowers real-world urgency versus a network-facing SSRF, and the lack of EPSS/KEV/PoC suggests no evidence of widespread or active exploitation. |
| Exploit ScenarioDerived | An attacker with access to the local input vector of a TensorRT-LLM deployment supplies a crafted URL or endpoint reference that the server-side process fetches on their behalf. The forged request reaches an internal or otherwise non-public resource (such as a metadata service or internal API), and the response data is returned to or inferred by the attacker, yielding information disclosure. No public exploit code or working PoC is identified in the provided data, and the specific triggering input is not described in the available sources. |
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Alert meAnalysisAIv1 – Oct 28, 2026
Server-side request forgery (SSRF) in NVIDIA TensorRT-LLM 1.3.0rc24 allows an attacker who can reach a local input vector to influence server-side requests and potentially disclose information. NVIDIA rates the issue CVSS 7.1 with a local attack vector (AV:L), no authentication required once that vector is reached, no user interaction, changed scope, and high confidentiality impact only. No public exploit code or active exploitation is identified in the available intelligence, and applicability to versions other than 1.3.0rc24 is not confirmed.
RemediationAI
No vendor-released patch or fixed version is identified in the provided data; consult the NVIDIA product-security advisory at https://github.com/NVIDIA/product-security/tree/main/2026/5883 and the NVD entry at https://nvd.nist.gov/vuln/detail/CVE-2026-65120 for updated remediation information and any confirmed fixed release. Because the trigger is not described, no specific feature can be confirmed as safe to disable; the practical compensating controls are to restrict access to the local input vector required for AV:L and to apply egress allowlisting or filtering for the TensorRT-LLM process, blocking loopback, link-local/metadata, and internal RFC1918 destinations unless explicitly required. These controls can break legitimate integrations that need to call internal or external services and do not correct the underlying SSRF flaw; upgrading to a vendor-fixed release when published is the complete remediation.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
The flaw is CWE-918 server-side request forgery: a server-side request destination is not adequately restricted, so an attacker can influence where the request goes and potentially access information reachable from the TensorRT-LLM environment. The supplied sources do not name the affected feature, input path, or protocol that controls the request destination; the trigger is not described in the available sources. The CVSS vector clarifies the access model: AV:L means the attacker needs a local input vector rather than direct remote network access, PR:N means no authentication is required once that vector is reached, UI:N means no user interaction, S:C indicates a scope change between security authorities, and C:H/I:N/A:N indicates information disclosure without integrity or availability impact. The CPE cpe:2.3:a:nvidia:tensorrt-llm:*:*:*:*:*:*:*:* is a wildcard, while the only version identified as affected in the supplied data is TensorRT-LLM 1.3.0rc24.
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Severity by source
AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N
Retain vendor AV:L as the reporter indicates a local input path; S:C and C:H/I:N/A:N fit SSRF disclosing other-system data with no integrity or availability impact.
Primary rating from Vendor (nvidia).
CVSS VectorVendor: nvidia
DescriptionCVE.org
NVIDIA TensorRT-LLM contains a vulnerability where an attacker could cause a server-side request forgery. A successful exploit of this vulnerability might lead to information disclosure.
Executive ViewAI
NVIDIA TensorRT-LLM 1.3.0rc24, an AI inference framework, contains a high-severity server-side request forgery flaw that could allow an attacker with local access to reach internal systems and disclose sensitive information. Leadership should care because this affects AI infrastructure integrity and could lead to data exposure, though no active exploitation has been observed and the attack requires local access.
No vendor-released patch identified at time of analysis; implement network segmentation, egress filtering, and restrict local access to trusted users.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
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EUVD-2026-110822
GHSA-4fm3-85vf-fh23
NVD
CVE.org
EPSS
Exploit-DB