CVE Vulnerabilities

CVE-2021-43410

Improper Output Neutralization for Logs

Published: Dec 09, 2021 | Modified: Nov 21, 2024
CVSS 3.x
5.3
MEDIUM
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CVSS 2.x
5 MEDIUM
AV:N/AC:L/Au:N/C:N/I:P/A:N
RedHat/V2
RedHat/V3
Ubuntu

Apache Airavata Django Portal allows CRLF log injection because of lack of escaping log statements. In particular, some HTTP request parameters are logged without first being escaped. Versions affected: master branch before commit 3c5d8c7 [1] of airavata-django-portal [1] https://github.com/apache/airavata-django-portal/commit/3c5d8c72bfc3eb0af8693a655a5d60f9273f8170

Weakness

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

Affected Software

Name Vendor Start Version End Version
Airavata_django_portal Apache * 2021-12-06 (excluding)

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