Overview
A critical vulnerability, identified as CVE-2025-33201, has been discovered in the NVIDIA Triton Inference Server. This vulnerability allows an attacker to potentially trigger a denial-of-service (DoS) condition by sending excessively large payloads to the server. This could disrupt service availability and impact applications relying on the inference server.
Technical Details
CVE-2025-33201 stems from an improper check for unusual or exceptional conditions when processing incoming requests. An attacker can exploit this flaw by sending a carefully crafted, extremely large payload to the Triton Inference Server. This oversized payload can overwhelm the server’s resources, leading to a crash or unresponsiveness, effectively denying service to legitimate users.
CVSS Analysis
- CVE ID: CVE-2025-33201
- Published: 2025-12-03T19:15:55.710
- Severity: HIGH
- CVSS Score: 7.5
A CVSS score of 7.5 indicates a high-severity vulnerability. While the vulnerability requires an attacker to send a specific payload, the potential impact on service availability justifies the high severity rating.
Possible Impact
A successful exploit of CVE-2025-33201 can lead to a denial-of-service (DoS) condition. This means:
- Service Disruption: Applications relying on the Triton Inference Server may become unavailable.
- Reputational Damage: Extended downtime can damage an organization’s reputation.
- Financial Loss: Service outages can lead to direct or indirect financial losses.
Mitigation and Patch Steps
To mitigate the risk posed by CVE-2025-33201, it is strongly recommended to apply the latest security patches provided by NVIDIA. Refer to the NVIDIA security advisory for specific instructions on patching your Triton Inference Server installation. In addition to patching, consider implementing the following preventative measures:
- Input Validation: Implement strict input validation to limit the size and format of incoming requests.
- Rate Limiting: Implement rate limiting to restrict the number of requests from a single source within a specific timeframe.
- Resource Monitoring: Monitor server resource utilization (CPU, memory) to detect potential DoS attacks early.
