CVE Vulnerabilities

CVE-2020-27757

Integer Overflow or Wraparound

Published: Dec 08, 2020 | Modified: Mar 11, 2023
CVSS 3.x
3.3
LOW
Source:
NVD
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
CVSS 2.x
4.3 MEDIUM
AV:N/AC:M/Au:N/C:N/I:N/A:P
RedHat/V2
RedHat/V3
3.3 LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
Ubuntu
LOW

A floating point math calculation in ScaleAnyToQuantum() of /MagickCore/quantum-private.h could lead to undefined behavior in the form of a value outside the range of type unsigned long long. The flaw could be triggered by a crafted input file under certain conditions when it is processed by ImageMagick. Red Hat Product Security marked this as Low because although it could potentially lead to an impact to application availability, no specific impact was shown in this case. This flaw affects ImageMagick versions prior to 7.0.8-68.

Weakness

The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.

Affected Software

Name Vendor Start Version End Version
Imagemagick Imagemagick * 6.9.10-68 (excluding)
Imagemagick Imagemagick 7.0.0-0 (including) 7.0.8-68 (excluding)
Imagemagick Ubuntu bionic *
Imagemagick Ubuntu esm-infra-legacy/trusty *
Imagemagick Ubuntu esm-infra/xenial *
Imagemagick Ubuntu focal *
Imagemagick Ubuntu groovy *
Imagemagick Ubuntu trusty *
Imagemagick Ubuntu trusty/esm *
Imagemagick Ubuntu upstream *
Imagemagick Ubuntu xenial *

Potential Mitigations

  • Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • If possible, choose a language or compiler that performs automatic bounds checking.
  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • Use libraries or frameworks that make it easier to handle numbers without unexpected consequences.
  • Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++). [REF-106]
  • Perform input validation on any numeric input by ensuring that it is within the expected range. Enforce that the input meets both the minimum and maximum requirements for the expected range.
  • Use unsigned integers where possible. This makes it easier to perform validation for integer overflows. When signed integers are required, ensure that the range check includes minimum values as well as maximum values.
  • Understand the programming language’s underlying representation and how it interacts with numeric calculation (CWE-681). Pay close attention to byte size discrepancies, precision, signed/unsigned distinctions, truncation, conversion and casting between types, “not-a-number” calculations, and how the language handles numbers that are too large or too small for its underlying representation. [REF-7]
  • Also be careful to account for 32-bit, 64-bit, and other potential differences that may affect the numeric representation.

References