CVE Vulnerabilities

CVE-2018-10932

Improper Output Neutralization for Logs

Published: Aug 21, 2018 | Modified: Nov 21, 2024
CVSS 3.x
4.3
MEDIUM
Source:
NVD
CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CVSS 2.x
3.3 LOW
AV:A/AC:L/Au:N/C:N/I:P/A:N
RedHat/V2
RedHat/V3
4.3 LOW
CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Ubuntu
MEDIUM

lldptool version 1.0.1 and older can print a raw, unsanitized attacker controlled buffer when mngAddr information is displayed. This may allow an attacker to inject shell control characters into the buffer and impact the behavior of the terminal.

Weakness

The product does not neutralize or incorrectly neutralizes output that is written to logs.

Affected Software

Name Vendor Start Version End Version
Lldptool Intel * 1.0.1 (including)
Red Hat Enterprise Linux 7 RedHat lldpad-0:1.0.1-5.git036e314.el7 *
Red Hat Enterprise Linux 8 RedHat lldpad-0:1.0.1-13.git036e314.el8 *
Lldpad Ubuntu bionic *
Lldpad Ubuntu cosmic *
Lldpad Ubuntu esm-apps/bionic *
Lldpad Ubuntu esm-apps/xenial *
Lldpad Ubuntu trusty *
Lldpad Ubuntu xenial *

Extended Description

This can allow an attacker to forge log entries or inject malicious content into logs. Log forging vulnerabilities occur when:

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.

References