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GHSA-w757-4qv9-mghp CVE-2025-68271

openc3-api Vulnerable to Unauthenticated Remote Code Execution

Critical RubyGems
Severity
10.0 / 10
Critical · CVSS 3.1
Exploit chance (EPSS)
0.64%
Chance of exploitation in the next 30 days. Higher than 50.51% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-95 Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Fix
6.10.2
Upgrade openc3 to this version or later

Description

Summary

OpenC3 COSMOS contains a critical remote code execution vulnerability reachable through the JSON-RPC API. When a JSON-RPC request uses the string form of certain APIs, attacker-controlled parameter text is parsed into values using String#convert_to_value. For array-like inputs, convert_to_value executes eval().

Because the cmd code path parses the command string before calling authorize(), an unauthenticated attacker can trigger Ruby code execution even though the request ultimately fails authorization (401).

Affected versions

RubyGems

PackageVulnerableFixed in
openc3
>= 5.0.6, < 6.10.2
6.10.2

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.

openc3 RubyGems → 6.10.2

bundler
bundle update openc3 # Gemfile: gem "openc3", ">= 6.10.2"

Severity breakdown

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-95: Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')

The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before using the input in a dynamic evaluation call (e.g. "eval").

How to prevent it
  • Architecture and Design, Implementation: If possible, refactor your code so that it does not need to use eval() at all.
  • 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.
  • Implementation: Inputs should be decoded and canonicalized to the application's current internal representation before being validated (CWE-180, CWE-181). Make sure that your application does not inadvertently decode the same input twice (CWE-174). Such errors could be used to bypass allowlist schemes by introducing dangerous inputs after they have been checked. Use libraries such as the OWASP ESAPI Canonicalization control. Consider performing repeated canonicalization until your input does not change any more. This will avoid double-decoding and similar scenarios, but it might inadvertently modify inputs that are allowed to contain properly-encoded dangerous content.
  • 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. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-jjq7-m736-w977
OpenC3 COSMOS: Authenticated remote code execution via the user-writable config overlay (table definitions, cmd/tlm definitions, and script suites)
Critical Also affects openc3
GHSA-vp3w-52v9-q57f
OpenC3 COSMOS: Authenticated OS command injection via the `pypi_url` setting
High Also affects openc3
GHSA-2wvh-87g2-89hr
OpenC3 COSMOS: Permissions Bypass Provides User Access to Unassigned Administrative Actions via Script Runner Tool
High Also affects openc3
GHSA-v529-vhwc-wfc5
OpenC3 COSMOS has SQL Injection in QuestDB Time-Series Database
Critical Also affects openc3
GHSA-ffq5-qpvf-xq7x
OpenC3 COSMOS is Vulnerable to Self-XSS Through the Command Sender
Medium Also affects openc3
GHSA-4jvx-93h3-f45h
OpenC3 COSMOS allows arbitrary writes to plugins directory via path-traversed config filenames
Medium Also affects openc3
GHSA-wgx6-g857-jjf7
OpenC3 COSMOS: Hijacked session token can be used to reset password for persistence
High Also affects openc3
GHSA-4xqv-47rm-37mm
OpenC3 stores passwords in clear text (`GHSL-2024-129`)
Medium Also affects openc3
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