GHSA-RJR4-V43M-PXQ6 Triton VM has a Soundness Vulnerability due to Improper Sampling of Randomness

In affected versions of Triton VM, the verifier failed to correctly sample randomness in the FRI sub-protocol. Malicious provers can exploit this to craft proofs for arbitrary statements that this verifier accepts as valid, undermining soundness. Protocols that rely on proofs and the supplied...

Triton VM Soundness Vulnerability due to Improper Sampling of Randomness

In affected versions of Triton VM, the verifier failed to correctly sample randomness in the FRI sub-protocol. Malicious provers can exploit this to craft proofs for arbitrary statements that this verifier accepts as valid, undermining soundness. Protocols that rely on proofs and the supplied...

RUSTSEC-2026-0004 Triton VM Soundness Vulnerability due to Improper Sampling of Randomness

In affected versions of Triton VM, the verifier failed to correctly sample randomness in the FRI sub-protocol. Malicious provers can exploit this to craft proofs for arbitrary statements that this verifier accepts as valid, undermining soundness. Protocols that rely on proofs and the supplied...

CVE-2025-23335

NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23336

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause a denial of service by loading a misconfigured model. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23328

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an out-of-bounds write through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23311

NVIDIA Triton Inference Server contains a vulnerability where an attacker could cause a stack overflow through specially crafted HTTP requests. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, or data tampering...

CVE-2025-23320

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause the shared memory limit to be exceeded by sending a very large request. A successful exploit of this vulnerability might lead to information disclosure...

CVE-2025-23331

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a memory allocation with excessive size value, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23322

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where multiple requests could cause a double free when a stream is cancelled before it is processed. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23317

NVIDIA Triton Inference Server contains a vulnerability in the HTTP server, where an attacker could start a reverse shell by sending a specially crafted HTTP request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information...

CVE-2025-23326

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an integer overflow through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23268

NVIDIA Triton Inference Server contains a vulnerability in the DALI backend where an attacker may cause an improper input validation issue. A successful exploit of this vulnerability may lead to code execution...

CVE-2025-23323

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause an integer overflow or wraparound, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23327

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an integer overflow through specially crafted inputs. A successful exploit of this vulnerability might lead to denial of service and data tampering...

CVE-2025-23318

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure...

CVE-2025-23310

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause stack buffer overflow by specially crafted inputs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, and data...

CVE-2025-23329

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause memory corruption by identifying and accessing the shared memory region used by the Python backend. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23321

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero issue by issuing an invalid request. A successful exploit of this vulnerability might lead to denial of service...

CVE-2024-2363

UNSUPPORTED WHEN ASSIGNED A vulnerability was found in AOL AIM Triton 1.0.4. It has been declared as problematic. This vulnerability affects unknown code of the component Invite Handler. The manipulation of the argument CSeq leads to denial of service. The attack can be initiated remotely. The...