Description

NVIDIA OpenShell for Linux contains a vulnerability in its inference proxy, where an attacker could cause an improper encoding or escaping of output. A successful exploit of this vulnerability might lead to information disclosure and data tampering.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "5.2",
  "pubDate": "2026-08-25T21:17:28.307Z",
  "pubdate": "2026-08-25T21:17:28.307Z",
  "executiveSummary": "The vulnerability identified in NVIDIA OpenShell for Linux resides within the inference proxy component, specifically concerning improper encoding or escaping mechanisms. This flaw allows an attacker to manipulate data streams handled by the proxy, leading to potential information disclosure and unauthorized data tampering.\nThe security risk is significant as the inference proxy serves as a critical intermediary in data transmission. By exploiting the failure to correctly sanitize or escape outgoing data, an adversary can bypass security controls to retrieve sensitive information or inject malicious content into the data stream.\nThe vulnerability affects systems running NVIDIA OpenShell for Linux. Successful exploitation necessitates the ability to influence input processed by the proxy, potentially allowing for cross-site scripting (XSS), injection-style attacks, or the leakage of protected data depending on the downstream consumer of the proxy's output.\nRisk implications include a compromise of data integrity and confidentiality. Attackers do not necessarily require specialized privileges if the proxy is accessible via the network, making this a high-priority concern for infrastructure relying on NVIDIA OpenShell for secure model inference or API-driven data processing.",
  "technicalDetails": "The root cause of this vulnerability lies in the improper sanitization or encoding logic within the NVIDIA OpenShell inference proxy's output generation module. When the proxy processes requests and prepares responses for clients or downstream services, it fails to sufficiently escape or encode specific character sequences that carry functional significance in the rendering or parsing environment.\nThe exploitation method involves the injection of malicious payloads into the inference input parameters, which the proxy subsequently reflects or forwards without proper transformation. Because the proxy does not effectively neutralize these sequences, the injected characters break out of the intended data context, allowing the attacker to execute arbitrary logic, manipulate the structure of the data response, or force the proxy to leak internal state information.\nThe attack flow typically follows a predictable pattern: first, the attacker identifies an input vector handled by the inference proxy that is included in the proxy's output. Second, the attacker crafts a payload containing control characters or markup sequences designed to exploit the specific encoding failure. Third, the proxy, operating under the assumption that the content is safe, forwards this payload to the end-user or an internal system component.\nThe vulnerable component is the inference proxy logic responsible for translating internal representations of inference results into the wire-format required for communication. The failure to maintain context-aware encoding means that the proxy treats malicious input as legitimate data, effectively acting as a conduit for injection. This behavior persists across the communication protocols utilized by the proxy to interface with client systems.\nRegarding authentication and privileges, the impact is governed by the network reachability of the inference proxy. If the proxy is exposed to an untrusted network, an unauthenticated attacker may trigger this vulnerability. Post-exploitation, the impact is severe: an adversary may achieve unauthorized information disclosure, such as leaking session tokens, environment variables, or sensitive inference parameters, and data tampering, where the proxy's output is modified to deceive downstream applications or end-users. The lack of robust encoding serves as a failure of boundary validation, turning a standard inference processing step into an attack vector."
}