Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by a Heap-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Substance 3D Stager versions 2.0.0 (and earlier) are affected by a Use After Free vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be…
Certain Stimulsoft GmbH products are affected by: Remote Code Execution. This affects Stimulsoft Designer (Desktop) 2023.1.4 and Stimulsoft Designer (Web) 2023.1.3 and Stimulsoft Viewer (Web) 2023.1.3. Access to the local file system is not prohibited in any way. Therefore, an attacker may include source code which reads or writes local directories and files. It is also possible for the attacker to prepare a report which has a variable that holds the gathered data and render it in the report.
In Stimulsoft Designer (Desktop) 2023.1.5, and 2023.1.4, once an attacker decompiles the Stimulsoft.report.dll the attacker is able to decrypt any connectionstring stored in .mrt files since a static secret is used. The secret does not differ between the tested versions and different operating systems.