Vulnerabilities (CVE)

Filtered by vendor Adobe Subscribe
Filtered by product Acrobat Dc
Total 1686 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2018-4960 3 Adobe, Apple, Microsoft 4 Acrobat Dc, Acrobat Reader Dc, Mac Os X and 1 more 2024-02-04 5.0 MEDIUM 7.5 HIGH
Adobe Acrobat and Reader versions 2018.011.20038 and earlier, 2017.011.30079 and earlier, and 2015.006.30417 and earlier have an Out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.
CVE-2018-4908 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 4.3 MEDIUM 6.5 MEDIUM
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.
CVE-2018-4888 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 6.8 MEDIUM 8.8 HIGH
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. The vulnerability is triggered by a crafted PDF file that can cause a memory access violation exception in the XFA engine because of a dangling reference left as a consequence of freeing an object in the computation that manipulates internal nodes in a graph representation of a document object model used in XFA. Successful exploitation could lead to arbitrary code execution.
CVE-2018-4956 3 Adobe, Apple, Microsoft 4 Acrobat Dc, Acrobat Reader Dc, Mac Os X and 1 more 2024-02-04 5.0 MEDIUM 7.5 HIGH
Adobe Acrobat and Reader versions 2018.011.20038 and earlier, 2017.011.30079 and earlier, and 2015.006.30417 and earlier have an Out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.
CVE-2018-4995 3 Adobe, Apple, Microsoft 4 Acrobat Dc, Acrobat Reader Dc, Mac Os X and 1 more 2024-02-04 7.5 HIGH 9.8 CRITICAL
Adobe Acrobat and Reader versions 2018.011.20038 and earlier, 2017.011.30079 and earlier, and 2015.006.30417 and earlier have an XFA '\n' POST injection vulnerability. Successful exploitation could lead to a security bypass.
CVE-2017-16386 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 9.3 HIGH 8.8 HIGH
An issue was discovered in Adobe Acrobat and Reader: 2017.012.20098 and earlier versions, 2017.011.30066 and earlier versions, 2015.006.30355 and earlier versions, and 11.0.22 and earlier versions. This vulnerability occurs as a result of a computation that reads data that is past the end of the target buffer; the computation is part of the XPS2PDF conversion engine. The use of an invalid (out-of-range) pointer offset during access of internal data structure fields causes the vulnerability. A successful attack can lead to sensitive data exposure.
CVE-2017-16420 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 9.3 HIGH 8.8 HIGH
An issue was discovered in Adobe Acrobat and Reader: 2017.012.20098 and earlier versions, 2017.011.30066 and earlier versions, 2015.006.30355 and earlier versions, and 11.0.22 and earlier versions. This vulnerability occurs as a result of a computation that reads data that is past the end of the target buffer; the computation is in the part of the JavaScript engine that handles annotation abstraction. The use of an invalid (out-of-range) pointer offset during access of internal data structure fields causes the vulnerability. A successful attack can lead to sensitive data exposure.
CVE-2017-3115 3 Adobe, Apple, Microsoft 6 Acrobat, Acrobat Dc, Acrobat Reader Dc and 3 more 2024-02-04 4.3 MEDIUM 6.5 MEDIUM
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an information disclosure vulnerability when handling links in a PDF document.
CVE-2017-3123 3 Adobe, Apple, Microsoft 6 Acrobat, Acrobat Dc, Acrobat Reader Dc and 3 more 2024-02-04 9.3 HIGH 8.8 HIGH
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable memory corruption vulnerability in the image conversion engine when processing Enhanced Metafile Format (EMF) data drawing position definition. Successful exploitation could lead to arbitrary code execution.
CVE-2017-11241 3 Adobe, Apple, Microsoft 7 Acrobat, Acrobat Dc, Acrobat Reader and 4 more 2024-02-04 9.3 HIGH 8.8 HIGH
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable heap overflow vulnerability in the image conversion engine when processing Enhanced Metafile Format (EMF) data related to polygons. Successful exploitation could lead to arbitrary code execution.
CVE-2017-11223 3 Adobe, Apple, Microsoft 7 Acrobat, Acrobat Dc, Acrobat Reader and 4 more 2024-02-04 9.3 HIGH 8.8 HIGH
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable use after free vulnerability in the core of the XFA engine. Successful exploitation could lead to arbitrary code execution.
CVE-2017-11221 3 Adobe, Apple, Microsoft 7 Acrobat, Acrobat Dc, Acrobat Reader and 4 more 2024-02-04 9.3 HIGH 8.8 HIGH
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable type confusion vulnerability in the annotation functionality. Successful exploitation could lead to arbitrary code execution.
CVE-2017-3124 3 Adobe, Apple, Microsoft 6 Acrobat, Acrobat Dc, Acrobat Reader Dc and 3 more 2024-02-04 10.0 HIGH 9.8 CRITICAL
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable memory corruption vulnerability in the picture exchange (PCX) file format parsing module. Successful exploitation could lead to arbitrary code execution.
CVE-2017-16417 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 9.3 HIGH 8.8 HIGH
An issue was discovered in Adobe Acrobat and Reader: 2017.012.20098 and earlier versions, 2017.011.30066 and earlier versions, 2015.006.30355 and earlier versions, and 11.0.22 and earlier versions. This vulnerability occurs as a result of a computation that reads data that is past the end of the target buffer; the computation is a part of the font parsing module. The use of an invalid (out-of-range) pointer offset during access of internal data structure fields causes the vulnerability. A successful attack can lead to sensitive data exposure.
CVE-2017-16381 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 9.3 HIGH 8.8 HIGH
An issue was discovered in Adobe Acrobat and Reader: 2017.012.20098 and earlier versions, 2017.011.30066 and earlier versions, 2015.006.30355 and earlier versions, and 11.0.22 and earlier versions. The vulnerability is caused by a buffer access with an incorrect length value when processing TIFF files embedded within an XPS document. Crafted TIFF image input causes a mismatch between allocated buffer size and the access allowed by the computation. If an attacker can adequately control the accessible memory then this vulnerability can be leveraged to achieve arbitrary code execution.
CVE-2017-3113 3 Adobe, Apple, Microsoft 6 Acrobat, Acrobat Dc, Acrobat Reader Dc and 3 more 2024-02-04 9.3 HIGH 8.8 HIGH
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable use after free vulnerability in JavaScript engine when creating large strings. Successful exploitation could lead to arbitrary code execution.
CVE-2017-11216 3 Adobe, Apple, Microsoft 7 Acrobat, Acrobat Dc, Acrobat Reader and 4 more 2024-02-04 9.3 HIGH 8.8 HIGH
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable memory corruption vulnerability in the image conversion engine when processing Enhanced Metafile Format (EMF) data related to bitmap transformations. Successful exploitation could lead to arbitrary code execution.
CVE-2017-16392 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 9.3 HIGH 8.8 HIGH
An issue was discovered in Adobe Acrobat and Reader: 2017.012.20098 and earlier versions, 2017.011.30066 and earlier versions, 2015.006.30355 and earlier versions, and 11.0.22 and earlier versions. The vulnerability is caused by a buffer access with an incorrect length value in the JPEG processing module. Crafted input with an unexpected JPEG file segment size causes a mismatch between allocated buffer size and the access allowed by the computation. If an attacker can adequately control the accessible memory then this vulnerability can be leveraged to achieve arbitrary code execution.
CVE-2017-11233 3 Adobe, Apple, Microsoft 7 Acrobat, Acrobat Dc, Acrobat Reader and 4 more 2024-02-04 4.3 MEDIUM 6.5 MEDIUM
Adobe Acrobat Reader 2017.009.20058 and earlier, 2017.008.30051 and earlier, 2015.006.30306 and earlier, and 11.0.20 and earlier has an exploitable memory corruption vulnerability in the image conversion engine when processing Enhanced Metafile Format (EMF) data related to block transfer of pixels. Successful exploitation could lead to arbitrary code execution.
CVE-2017-16399 1 Adobe 4 Acrobat, Acrobat Dc, Acrobat Reader and 1 more 2024-02-04 9.3 HIGH 8.8 HIGH
An issue was discovered in Adobe Acrobat and Reader: 2017.012.20098 and earlier versions, 2017.011.30066 and earlier versions, 2015.006.30355 and earlier versions, and 11.0.22 and earlier versions. This issue is due to an untrusted pointer dereference in the XPS parsing module. In this scenario, the input is crafted in a way that the computation results in pointers to memory locations that do not belong to the relevant process address space. The dereferencing operation is a read operation, and an attack can result in sensitive data exposure.