Summary
NVIDIA Dynamo for Linux contains a server-side request forgery vulnerability in multimodal request handling. An attacker who can submit a crafted URL may cause the server to make unintended outbound requests, potentially disclosing information reachable from the server's network position.
Affected context
The vulnerability occurs in NVIDIA Dynamo for Linux when multimodal requests accept URLs that are processed by the server. Risk increases when those URLs are insufficiently restricted and the server can reach internal services, protected endpoints, or other network resources that are not directly accessible to the requester.
Exploit preconditions
- Attack surface: Multimodal request handling that accepts a user-influenced URL
- Required access: Ability to submit or influence a multimodal request
- Trigger point: Server-side retrieval or processing of the supplied URL
- Why exploitation is possible: The server may perform outbound requests without adequately restricting destinations, allowing attacker-controlled requests to reach unintended resources
Why this happens
The underlying issue is insufficient validation and destination control for URLs supplied through multimodal requests. When application logic retrieves attacker-influenced URLs from the server, it can act as a proxy into internal or otherwise restricted network locations. This behavior maps to CWE-918: Server-Side Request Forgery, in which untrusted input controls server-side network requests.
Potential impact
- The server may disclose responses from internal or protected services
- An attacker could learn network topology or service metadata
- Credentials, tokens, or configuration data may be exposed if reachable through the server
- Internal endpoints could receive unintended requests
General mitigation guidance
Mitigation generally focuses on reducing trust in user-supplied URLs and enforcing explicit outbound network boundaries.
Common defensive patterns include:
- Allowlisting permitted URL schemes, hosts, ports, and destinations
- Blocking loopback, link-local, private, and other reserved address ranges
- Validating resolved IP addresses and rechecking them across redirects
- Disabling or tightly restricting redirects and nonessential outbound requests
- Isolating request-processing services from sensitive internal networks
- Applying least-privilege network policies and limiting access to cloud metadata services
- Returning only the minimum required remote content to the requester
How teams detect issues like this
Organizations can detect SSRF risks through:
- Static analysis rules for HTTP clients whose destinations derive from request parameters
- Code review checks for unrestricted URL fetching, redirects, DNS rebinding exposure, and weak IP filtering
- Runtime monitoring of outbound requests from application services
- Egress policies that alert on or block access to private, reserved, and metadata-service addresses
- Automated security testing using controlled internal endpoints and representative URL-validation cases
