CVE-2019-13295

ImageMagick 7.0.8-50 Q16 has a heap-based buffer over-read at MagickCore/threshold.c in AdaptiveThresholdImage because a width of zero is mishandled.

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

Name	Vendor	Start Version	End Version
Imagemagick	Imagemagick	7.0.8-50-q16 (including)	7.0.8-50-q16 (including)
Red Hat Enterprise Linux 7	RedHat	autotrace-0:0.31.1-38.el7	*
Red Hat Enterprise Linux 7	RedHat	emacs-1:24.3-23.el7	*
Red Hat Enterprise Linux 7	RedHat	ImageMagick-0:6.9.10.68-3.el7	*
Red Hat Enterprise Linux 7	RedHat	inkscape-0:0.92.2-3.el7	*
Imagemagick	Ubuntu	bionic	*
Imagemagick	Ubuntu	cosmic	*
Imagemagick	Ubuntu	devel	*
Imagemagick	Ubuntu	disco	*
Imagemagick	Ubuntu	eoan	*
Imagemagick	Ubuntu	esm-apps/focal	*
Imagemagick	Ubuntu	esm-apps/jammy	*
Imagemagick	Ubuntu	esm-apps/noble	*
Imagemagick	Ubuntu	focal	*
Imagemagick	Ubuntu	jammy	*
Imagemagick	Ubuntu	kinetic	*
Imagemagick	Ubuntu	lunar	*
Imagemagick	Ubuntu	mantic	*
Imagemagick	Ubuntu	noble	*
Imagemagick	Ubuntu	oracular	*
Imagemagick	Ubuntu	trusty	*
Imagemagick	Ubuntu	trusty/esm	*
Imagemagick	Ubuntu	upstream	*
Imagemagick	Ubuntu	xenial	*

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.

NVD	https://nvd.nist.gov/vuln/detail/CVE-2019-13295
CWE	https://cwe.mitre.org/data/definitions/125.html

Out-of-bounds Read