CVE-2025-49013

WilderForge is a Wildermyth coremodding API. A critical vulnerability has been identified in multiple projects across the WilderForge organization. The issue arises from unsafe usage of ${{ github.event.review.body }} and other user controlled variables directly inside shell script contexts in GitHub Actions workflows. This introduces a code injection vulnerability: a malicious actor submitting a crafted pull request review containing shell metacharacters or commands could execute arbitrary shell code on the GitHub Actions runner. This can lead to arbitrary command execution with the permissions of the workflow, potentially compromising CI infrastructure, secrets, and build outputs. Developers who maintain or contribute to the repos WilderForge/WilderForge, WilderForge/ExampleMod, WilderForge/WilderWorkspace, WilderForge/WildermythGameProvider, WilderForge/AutoSplitter, WilderForge/SpASM, WilderForge/thrixlvault, WilderForge/MassHash, and/or WilderForge/DLC_Disabler; as well as users who fork any of the above repositories and reuse affected GitHub Actions workflows, are affected. End users of any the above software and users who only install pre-built releases or artifacts are not affected. This vulnerability does not impact runtime behavior of the software or compiled outputs unless those outputs were produced during exploitation of this vulnerability. A current workaround is to disable GitHub Actions in affected repositories, or remove the affected workflows.

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.

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().

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/242.html
• https://cwe.mitre.org/data/definitions/35.html
• https://cwe.mitre.org/data/definitions/77.html

References

• https://codeql.github.com/codeql-query-help/javascript/js-actions-command-injection
• https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#preventing-script-injection
• https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#understanding-the-risk-of-script-injection
• https://github.com/WilderForge/WilderForge/security/advisories/GHSA-m6r3-c73x-8fw5
• https://securitylab.github.com/research/github-actions-untrusted-input