GHSA-884p-74jh-xrg2 CVE-2019-15599

Command Injection in tree-kill

High npm

Severity: High; The publisher's own rating, not a CVSS score
Exploit chance (EPSS): 2.74%; Chance of exploitation in the next 30 days. Higher than 86.17% of scored vulnerabilities.
Known exploited: No; Not in CISA's catalog
Weakness: CWE-94 Improper Control of Generation of Code ('Code Injection')
Fix: 1.2.2; Upgrade tree-kill to this version or later

Description

Versions of tree-kill prior to 1.2.2 are vulnerable to Command Injection. The package fails to sanitize values passed to the kill function. If this value is user-controlled it may allow attackers to run arbitrary commands in the server. The issue only affects Windows systems.

Recommendation

Upgrade to version 1.2.2 or later.

Affected versions

npm

Package	Vulnerable	Fixed in
tree-kill	`< 1.2.2`	`1.2.2`

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

tree-kill npm → `1.2.2`

npm

npm install tree-kill@1.2.2

yarn

yarn add tree-kill@1.2.2

pnpm

pnpm add tree-kill@1.2.2

Weakness

CWE-94: Improper Control of Generation of Code ('Code Injection')

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.

How to prevent it

Architecture and Design: Refactor your program so that you do not have to dynamically generate code.
Architecture and Design: 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.
Implementation: 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().
Testing: Use dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
Operation: Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Operation: Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Implementation: For Python programs, it is frequently encouraged to use the ast.literal_eval() function instead of eval, since it is intentionally designed to avoid executing code. However, an adversary could still cause excessive memory or stack consumption via deeply nested structures [REF-1372], so the python documentation discourages use of ast.literal_eval() on untrusted data [REF-1373].

References

Advisories

nvd.nist.gov/vuln/detail/CVE-2019-15599

Packages

github.com/pkrumins/node-tree-kill

Timeline

Sep 4, 2020 Published
Nov 8, 2023 Last updated by the source
Oct 31, 2026 Latest EPSS score

Advisory	Severity	Why it's related
GHSA-j7fq-p9q7-5wfv Treekill Enables OS Command Injection	Critical	Also affects tree-kill
GHSA-26p8-2jq9-3vq9 MLflow vulnerable to remote code execution on unauthenticated servers via third-party scorer deserialization importing caller-placed artifact modules	Critical	Same weakness, CWE-94
GHSA-h3rc-6mm3-gc2m vLLM: Request-controlled mm_processor_kwargs.code_revision allows remote code execution	Critical	Same weakness, CWE-94
GHSA-qxg6-89mg-rqv8 Vitest: Code injection via unauthenticated manual mock registration	Medium	Same weakness, CWE-94
CVE-2026-0322 A remote code execution (RCE) vulnerability in the management interface of Palo Alto Networks PAN-OS® software enables an authenticated attacker with network…	High Known exploited	Same weakness, CWE-94
GHSA-p393-cf76-4jmr Nginx UI: Authenticated Remote Code Execution via Backup Restore App Config Overwrite	High	Same weakness, CWE-94
GHSA-8r5x-fm3f-whwj Handlebars: JavaScript Injection via AST Type Confusion in compile (bypass of CVE-2026-33937)	Critical	Same weakness, CWE-94
GHSA-97rh-rhh2-7vjv Payload: Remote Code Execution through first-register	High	Same weakness, CWE-94

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