CVE Vulnerabilities

CVE-2018-6499

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

Published: Aug 30, 2018 | Modified: Nov 07, 2023
CVSS 3.x
9.8
CRITICAL
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
7.5 HIGH
AV:N/AC:L/Au:N/C:P/I:P/A:P
RedHat/V2
RedHat/V3
Ubuntu

Remote Code Execution in the following products Hybrid Cloud Management Containerized Suite HCM2017.11, HCM2018.02, HCM2018.05, Operations Bridge Containerized Suite 2017.11, 2018.02, 2018.05, Data Center Automation Containerized Suite 2017.01 until 2018.05, Service Management Automation Suite 2017.11, 2018.02, 2018.05, Service Virtualization (SV) with floating licenses using Any version using APLS older than 10.7, Unified Functional Testing (UFT) with floating licenses using Any version using APLS older than 10.7, Network Virtualization (NV) with floating licenses using Any version using APLS older than 10.7 and Network Operations Management (NOM) Suite CDF 2017.11, 2018.02, 2018.05 will allow Remote Code Execution.

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
Data_center_automation Microfocus 2017.01 (including) 2017.01 (including)
Data_center_automation Microfocus 2017.05 (including) 2017.05 (including)
Data_center_automation Microfocus 2017.08 (including) 2017.08 (including)
Data_center_automation Microfocus 2017.09 (including) 2017.09 (including)
Data_center_automation Microfocus 2017.11 (including) 2017.11 (including)
Data_center_automation Microfocus 2018.02 (including) 2018.02 (including)
Data_center_automation Microfocus 2018.05 (including) 2018.05 (including)
Hybrid_cloud_management Microfocus 2017.11 (including) 2017.11 (including)
Hybrid_cloud_management Microfocus 2018.02 (including) 2018.02 (including)
Hybrid_cloud_management Microfocus 2018.05 (including) 2018.05 (including)
Network_operations_management Microfocus 2017.11 (including) 2017.11 (including)
Network_operations_management Microfocus 2018.02 (including) 2018.02 (including)
Network_operations_management Microfocus 2018.05 (including) 2018.05 (including)
Operations_bridge Microfocus 2017.11 (including) 2017.11 (including)
Operations_bridge Microfocus 2018.02 (including) 2018.02 (including)
Operations_bridge Microfocus 2018.05 (including) 2018.05 (including)
Service_management_automation Microfocus 2017.11 (including) 2017.11 (including)
Service_management_automation Microfocus 2018.02 (including) 2018.02 (including)
Service_management_automation Microfocus 2018.05 (including) 2018.05 (including)

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