CVE Vulnerabilities


Out-of-bounds Read

Published: Dec 09, 2017 | Modified: Dec 15, 2017
CVSS 3.x
CVSS 2.x
9.3 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 JPEG 2000 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.


The product reads data past the end, or before the beginning, of the intended buffer.

Affected Software

Name Vendor Start Version End Version
Acrobat Adobe * 11.0.22 (including)
Acrobat Adobe 17.0 (including) 17.011.30066 (including)
Acrobat_dc Adobe - (including) 17.012.20098 (including)
Acrobat_dc Adobe 15.0 (including) 15.006.30355 (including)
Acrobat_reader Adobe * 11.0.22 (including)
Acrobat_reader Adobe 17.0 (including) 17.011.30066 (including)
Acrobat_reader_dc Adobe - (including) 17.012.20098 (including)
Acrobat_reader_dc Adobe 15.0 (including) 15.006.30355 (including)

Potential Mitigations

  • Assume all input is malicious. Use an “accept known good” input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, “boat” may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as “red” or “blue.”
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code’s environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.