CVE Vulnerabilities

CVE-2024-6923

Improper Control of Generation of Code ('Code Injection')

Published: Aug 01, 2024 | Modified: Sep 04, 2024
CVSS 3.x
N/A
Source:
NVD
CVSS 2.x
RedHat/V2
RedHat/V3
6.8 MODERATE
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N
Ubuntu
MEDIUM

There is a MEDIUM severity vulnerability affecting CPython.

The email module didn’t properly quote newlines for email headers when serializing an email message allowing for header injection when an email is serialized.

Weakness

The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

Affected Software

Name Vendor Start Version End Version
Red Hat Enterprise Linux 8 RedHat python39:3.9-8100020240826142629.d47b87a4 *
Red Hat Enterprise Linux 8 RedHat python39-devel:3.9-8100020240826142629.d47b87a4 *
Red Hat Enterprise Linux 8 RedHat python3.12-0:3.12.5-2.el8_10 *
Red Hat Enterprise Linux 8 RedHat python3.11-0:3.11.9-7.el8_10 *
Red Hat Enterprise Linux 8 RedHat python3-0:3.6.8-67.el8_10 *
Red Hat Enterprise Linux 8 RedHat python3-0:3.6.8-67.el8_10 *
Red Hat Enterprise Linux 8.4 Advanced Mission Critical Update Support RedHat python39:3.9-8040020240902080505.63cd9eba *
Red Hat Enterprise Linux 8.4 Telecommunications Update Service RedHat python39:3.9-8040020240902080505.63cd9eba *
Red Hat Enterprise Linux 8.4 Update Services for SAP Solutions RedHat python39:3.9-8040020240902080505.63cd9eba *
Red Hat Enterprise Linux 8.6 Advanced Mission Critical Update Support RedHat python39:3.9-8060020240916062113.6a631399 *
Red Hat Enterprise Linux 8.6 Telecommunications Update Service RedHat python39:3.9-8060020240916062113.6a631399 *
Red Hat Enterprise Linux 8.6 Update Services for SAP Solutions RedHat python39:3.9-8060020240916062113.6a631399 *
Red Hat Enterprise Linux 8.8 Extended Update Support RedHat python39:3.9-8080020240911100614.93c2fc2f *
Red Hat Enterprise Linux 9 RedHat python3.12-0:3.12.1-4.el9_4.3 *
Red Hat Enterprise Linux 9 RedHat python3.9-0:3.9.18-3.el9_4.5 *
Red Hat Enterprise Linux 9 RedHat python3.11-0:3.11.7-1.el9_4.5 *
Red Hat Enterprise Linux 9 RedHat python3.9-0:3.9.18-3.el9_4.5 *
Red Hat Enterprise Linux 9.2 Extended Update Support RedHat python3.9-0:3.9.16-1.el9_2.8 *
Red Hat Enterprise Linux 9.2 Extended Update Support RedHat python3.11-0:3.11.2-2.el9_2.6 *
Service Interconnect 1.4 for RHEL 9 RedHat service-interconnect/skupper-config-sync-rhel9:1.4.7-2 *
Service Interconnect 1.4 for RHEL 9 RedHat service-interconnect/skupper-flow-collector-rhel9:1.4.7-2 *
Service Interconnect 1.4 for RHEL 9 RedHat service-interconnect/skupper-operator-bundle:1.4.7-2 *
Service Interconnect 1.4 for RHEL 9 RedHat service-interconnect/skupper-router-rhel9:2.4.3-6 *
Service Interconnect 1.4 for RHEL 9 RedHat service-interconnect/skupper-service-controller-rhel9:1.4.7-2 *
Service Interconnect 1.4 for RHEL 9 RedHat service-interconnect/skupper-site-controller-rhel9:1.4.7-2 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-config-sync-rhel9:1.5.5-3 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-controller-podman-container-rhel9:1.5.5-3 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-controller-podman-rhel9:1.5.5-3 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-flow-collector-rhel9:1.5.5-3 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-operator-bundle:1.5.5-3 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-router-rhel9:2.5.3-5 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-service-controller-rhel9:1.5.5-3 *
Service Interconnect 1 for RHEL 9 RedHat service-interconnect/skupper-site-controller-rhel9:1.5.5-3 *
Python2.7 Ubuntu bionic *
Python2.7 Ubuntu trusty *
Python2.7 Ubuntu xenial *
Python3.10 Ubuntu jammy *
Python3.12 Ubuntu noble *
Python3.12 Ubuntu upstream *
Python3.13 Ubuntu upstream *
Python3.4 Ubuntu trusty *
Python3.5 Ubuntu trusty *
Python3.5 Ubuntu xenial *
Python3.6 Ubuntu bionic *
Python3.7 Ubuntu bionic *
Python3.8 Ubuntu bionic *
Python3.8 Ubuntu focal *

Extended Description

When a product allows a user’s input to contain code syntax, it might be possible for an attacker to craft the code in such a way that it will alter the intended control flow of the product. Such an alteration could lead to arbitrary code execution. Injection problems encompass a wide variety of issues – all mitigated in very different ways. For this reason, the most effective way to discuss these weaknesses is to note the distinct features which classify them as injection weaknesses. The most important issue to note is that all injection problems share one thing in common – i.e., they allow for the injection of control plane data into the user-controlled data plane. This means that the execution of the process may be altered by sending code in through legitimate data channels, using no other mechanism. While buffer overflows, and many other flaws, involve the use of some further issue to gain execution, injection problems need only for the data to be parsed. The most classic instantiations of this category of weakness are SQL injection and format string vulnerabilities.

Potential Mitigations

  • Run your code in a “jail” or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product.
  • Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection.
  • This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise.
  • Be careful to avoid CWE-243 and other weaknesses related to jails.
  • 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 code injection, use stringent allowlists that limit which constructs are allowed. If you are dynamically constructing code that invokes a function, then verifying that the input is alphanumeric might be insufficient. An attacker might still be able to reference a dangerous function that you did not intend to allow, such as system(), exec(), or exit().

References