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GHSA-3f84-vwv5-r42g

Duplicate Advisory: vm2: GHSA-m283-3h24-438v fix bypass leads to host RCE via call/apply indirection

Critical Withdrawn Oct 1, 2026 npm
Severity
0.0 / 10
Critical · CVSS 4.0
Exploit chance (EPSS)
—
No score published
Known exploited
No
Not in CISA's catalog
Weakness
CWE-94 Improper Control of Generation of Code ('Code Injection')
Fix
None yet
No fixed version published

Description

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-647f-g98j-qq25. This link is maintained to preserve external references.

Original Description

vm2 3.11.6 is vulnerable to a sandbox escape leading to remote code execution in the host Node.js process. The fix for GHSA-m283-3h24-438v is incomplete: the bridge gate at lib/bridge.js:1624 identity-checks only the direct call target when deciding whether to rebuild/sanitise a rejected host Promise value. Registering the rejection handler through Function.prototype.call or .apply indirection (e.g., p.then.call(p, undefined, cb)) makes the intercepted target host Function.prototype.call, so the sanitiser never runs and the raw host error reaches sandbox code with its own properties intact. If an embedder exposes a host-realm Promise to the sandbox (an async host function bridged via the sandbox option, or a NodeVM external module's async method) and that Promise rejects with an Error carrying a non-primitive own property referencing a host object (for example err.detail = process), untrusted code in the sandbox obtains a fully functional proxy to that host object and can execute arbitrary commands with the privileges of the host process (e.g., e.detail.mainModule.require('child_process').execSync(...)). The direct p.then(undefined, cb), bind, and Reflect.apply forms are correctly sanitised. Fixed in vm2 3.11.7.

Affected versions

npm

PackageVulnerableFixed in
vm2 1 listed versions No fix yet

How to fix

No fixed version has been published yet. Until one is, remove or replace the package, or turn off or isolate the affected feature. This page updates when a fix ships.

Severity breakdown

CVSS 4.0 0.0

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Attack vector
Network
Attack complexity
Low
Attack requirements
None
Privileges required
None
User interaction
None
Confidentiality (vulnerable system)
High
Integrity (vulnerable system)
High
Availability (vulnerable system)
High
Confidentiality (subsequent systems)
High
Integrity (subsequent systems)
High
Availability (subsequent systems)
High
Exploit maturity
Not defined
Scope
X

CVSS 3.1 10.0

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

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

Timeline

  1. Published
  2. Withdrawn
  3. Last updated by the source
AdvisorySeverityWhy it's related
GHSA-489w-w794-jq94
vm2: NodeVM zlib Buffers expose pooled host memory across the VM boundary
High Also affects vm2
GHSA-2v2p-6j97-cjg9
vm2: Host Promise rejection from an exposed constructor can terminate the vm2 host process
Medium Also affects vm2
GHSA-5h3f-q97h-ccvc
vm2: NodeVM custom resolution bypasses external path boundaries
Critical Also affects vm2
GHSA-pq68-rvw4-xp4r
vm2 contains a sandbox escape vulnerability
Critical Also affects vm2
GHSA-f8gf-w286-fmq2
vm2: `allowAsync: false` can be bypassed through Promise thenable assimilation in VM and NodeVM
High Also affects vm2
GHSA-6rh5-qq4q-97xh
vm2: NodeVM builtin denylist bypass via fs/promises despite -fs, allowing host filesystem writes
High Also affects vm2
GHSA-8686-vhfx-7r3j
vm2: NodeVM node:-prefixed negative builtin deny bypass exposes child_process
Critical Also affects vm2
GHSA-wjwh-qqvp-g4p4
vm2 sandbox escape via WebAssembly.compileStreaming Promise species bypass
Critical Also affects vm2
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