Adobe Acrobat and Reader versions 2018.009.20050 and earlier, 2017.011.30070 and earlier, 2015.006.30394 and earlier have an exploitable out-of-bounds write vulnerability. Successful exploitation could lead to arbitrary code execution in the context of the current user.

Adobe Acrobat and Reader versions 2018.009.20050 and earlier, 2017.011.30070 and earlier, 2015.006.30394 and earlier have an exploitable heap overflow vulnerability. Successful exploitation could lead to arbitrary code execution in the context of the current user.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. The vulnerability is caused by the computation that writes data past the end of the intended buffer; the computation is part of the image conversion module that handless TIFF data. An attacker can potentially leverage the vulnerability to corrupt sensitive data or execute arbitrary code.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. The vulnerability is caused by the computation that writes data past the end of the intended buffer; the computation is part of the JavaScript API related to color conversion. An attacker can potentially leverage the vulnerability to corrupt sensitive data or execute arbitrary code.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the TIFF processing in the XPS engine. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability is an instance of a use after free vulnerability in the XFA engine, related to DOM manipulation. The vulnerability is triggered by crafted XFA script definitions in a PDF file. Successful exploitation could lead to arbitrary code execution.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the image conversion module that handles JPEG 2000 data. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability is an instance of a use after free vulnerability in the JavaScript API related to bookmark functionality. The vulnerability is triggered by crafted JavaScript code embedded within a PDF file. A successful attack can lead to code corruption, control-flow hijack, or a code re-use attack.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability is an instance of a heap overflow vulnerability in the JavaScript engine. The vulnerability is triggered by a PDF file with crafted JavaScript code that manipulates the optional content group (OCG). A successful attack can lead to code corruption, control-flow hijack, or a code re-use attack.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the image conversion module when processing metadata in JPEG images. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the TTF font processing in the XPS module. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the TIFF processing in the XPS module. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the image conversion module that handles Enhanced Metafile Format Plus (EMF+) data related to graphic object image attributes. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of TIFF processing within the XPS module. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability is an instance of a heap overflow vulnerability. The vulnerability is triggered by crafted TIFF data within an XPS file, which causes an out of bounds memory access. An attacker can potentially leverage the vulnerability to corrupt sensitive data or execute arbitrary code.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the TIFF processing within the XPS module. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability is an instance of a use after free vulnerability in the rendering engine. The vulnerability is triggered by a crafted PDF file containing a video annotation (and corresponding media files) that is activated by the embedded JavaScript. Successful exploitation could lead to arbitrary code execution.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. The vulnerability is caused by the computation that writes data past the end of the intended buffer; the computation is part of the document identity representation. An attacker can potentially leverage the vulnerability to corrupt sensitive data or execute arbitrary code.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of JavaScript manipulation of an Annotation object. A successful attack can lead to sensitive data exposure.

An issue was discovered in Adobe Acrobat Reader 2018.009.20050 and earlier versions, 2017.011.30070 and earlier versions, 2015.006.30394 and earlier versions. This vulnerability occurs as a result of computation that reads data that is past the end of the target buffer; the computation is part of the initial XPS page processing. A successful attack can lead to sensitive data exposure.