Security Vulnerabilities
- CVEs Published In September 2025
Memory corruption when passing parameters to the Trusted Virtual Machine during the handshake.
Memory corruption while performing private key encryption in trusted application.
Cryptographic issue while performing RSA PKCS padding decoding.
Memory corruption when the UE receives an RTP packet from the network, during the reassembly of NALUs.
NVIDIA Megatron-LM for all platforms contains a vulnerability in the msdp preprocessing script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data tampering.
NVIDIA Megatron-LM for all platforms contains a vulnerability in the ensemble_classifer script where malicious data created by an attacker may cause an injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, Information disclosure, and data tampering.
Horilla is a free and open source Human Resource Management System (HRMS). An authenticated Remote Code Execution (RCE) vulnerability exists in Horilla 1.3.0 due to the unsafe use of Python’s eval() function on a user-controlled query parameter in the project_bulk_archive view. This allows privileged users (e.g., administrators) to execute arbitrary system commands on the server. While having Django’s DEBUG=True makes exploitation visibly easier by returning command output in the HTTP response, this is not required. The vulnerability can still be exploited in DEBUG=False mode by using blind payloads such as a reverse shell, leading to full remote code execution. This issue has been patched in version 1.3.1.
NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvdisasm where a user may cause an out-of-bounds write by running nvdisasm on a malicious ELF file. A successful exploit of this vulnerability may lead to denial of service.
NVIDIA CUDA Toolkit for all platforms contains a vulnerability in cuobjdump where an attacker may cause a stack-based buffer overflow by getting the user to run cuobjdump on a malicious ELF file. A successful exploit of this vulnerability may lead to arbitrary code execution at the privilege level of the user running
cuobjdump.
NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the nvdisasm binary where a user may cause an out-of-bounds read by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability may lead to a partial denial of service.