CVE Vulnerabilities

CVE-2018-16842

Out-of-bounds Read

Published: Oct 31, 2018 | Modified: Aug 06, 2019
CVSS 3.x
9.1
CRITICAL
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H
CVSS 2.x
6.4 MEDIUM
AV:N/AC:L/Au:N/C:P/I:N/A:P
RedHat/V2
RedHat/V3
3.6 LOW
CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:L
Ubuntu
MEDIUM

Curl versions 7.14.1 through 7.61.1 are vulnerable to a heap-based buffer over-read in the tool_msgs.c:voutf() function that may result in information exposure and denial of service.

Weakness

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

Affected Software

Name Vendor Start Version End Version
Curl Haxx 7.14.1 (including) 7.61.1 (including)
JBoss Core Services Apache HTTP Server 2.4.29 SP2 RedHat *
Red Hat Ansible Tower 3.4 for RHEL 7 RedHat ansible-tower-34/ansible-tower-memcached:1.4.15-28 *
Red Hat Ansible Tower 3.4 for RHEL 7 RedHat ansible-tower-35/ansible-tower-memcached:1.4.15-28 *
Red Hat Ansible Tower 3.4 for RHEL 7 RedHat ansible-tower-37/ansible-tower-memcached-rhel7:1.4.15-28 *
Red Hat Enterprise Linux 7 RedHat curl-0:7.29.0-54.el7 *
Curl Ubuntu bionic *
Curl Ubuntu cosmic *
Curl Ubuntu devel *
Curl Ubuntu trusty *
Curl Ubuntu upstream *
Curl Ubuntu xenial *

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.

References