| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Integer Underflow (Wrap or Wraparound) vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Integer Overflow or Wraparound vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Improper Input Validation vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Improper Input Validation vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Improper Input Validation vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Integer Underflow (Wrap or Wraparound) vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Improper Input Validation vulnerability that could result in an application denial-of-service. An attacker could exploit this vulnerability to crash the application, leading to a denial-of-service condition. Exploitation of this issue does not require user interaction. |
| CAI Content Credentials versions 0.78.2, 0.7.0 and earlier are affected by an Uncontrolled Resource Consumption vulnerability that could lead to application denial-of-service. An attacker could exploit this vulnerability to exhaust system resources, resulting in an application denial-of-service condition. Exploitation of this issue does not require user interaction. |
| Timing limitations of the HRNG in RS9116 when power save mode is enabled results in predictable values |
| Stack exhaustion vulnerability in the MongoDB PHP driver can cause application crashes when processing deeply nested BSON documents in unusual circumstances when the source of these BSON documents is not MongoDB Server. |
| Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts in S3 with a specially crafted pickle payload that is deserialized without verification. This issue requires a remote authenticated actor with S3 write access to the model artifact path.
To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any Triton models previously created with ModelBuilder using the updated SDK. |
| An improper input validation vulnerability within the AMD Platform Management Framework (PMF) Driver can allow a local attacker to write Out-of-Bounds, potentially resulting in privilege escalation. |
| An improper input validation vulnerability within the AMD Platform Management Framework (PMF) driver can allow a local attacker to read or write Out-of-Bounds, potentially resulting in privilege escalation |
| Cleartext storage of sensitive information in the ModelBuilder/Serve component in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to extract the HMAC signing key from SageMaker API responses and forge valid integrity signatures for specially crafted model artifacts, achieving code execution in inference containers. This issue requires a remote authenticated actor with permissions to call SageMaker describe APIs and S3 write access to the model artifact path.
To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any models previously created with ModelBuilder using the updated SDK. |
| Incorrect default permissions in the installation directory for the AMD general-purpose input/output controller (GPIO) could allow an attacker to achieve privilege escalation resulting in arbitrary code execution. |
| Improper input validation in the AMD Secure Processor (ASP) PCI driver could allow a local attacker to trigger a Use-After-Free (UAF) condition, potentially resulting in a loss of platform integrity or crash. |
| Improper Input validation in the AMD Secure Processor (ASP) PCI driver may allow a local attacker to create a buffer overflow condition, potentially resulting in a crash or denial of service |
| A compromised Trusted OS (TOS) driver could issue a malformed call that could potentially allow memory access outside the intended range resulting in loss of integrity. |
| A TOCTOU (Time-Of-Check to Time-Of-Use) in the graphics interface may allow an attacker to load registers repeatedly creating a race condition potentially leading to a loss of integrity. |
| An out of bounds read within the AMD Platform Management Framework (PMF) could allow an attacker to trigger a read of an arbitrary memory location potentially resulting in loss of availability or confidentiality. |
