FKIE_CVE-2026-41507

Vulnerability from fkie_nvd - Published: 2026-05-08 14:16 - Updated: 2026-05-12 14:26
Summary
math-codegen generates code from mathematical expressions. Prior to version 0.4.3, string literal content passed to cg.parse() is injected verbatim into a new Function() body without sanitization. This allows an attacker to execute arbitrary system commands when user-controlled input reaches the parser. Any application exposing a math evaluation endpoint where user input flows into cg.parse() is vulnerable to full RCE. This issue has been patched in version 0.4.3.
Impacted products
Vendor Product Version
mauriciopoppe math-codegen *

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:mauriciopoppe:math-codegen:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "8965334E-695A-4505-BADF-4FDDD9C14CC4",
              "versionEndExcluding": "0.4.3",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "math-codegen generates code from mathematical expressions. Prior to version 0.4.3, string literal content passed to cg.parse() is injected verbatim into a new Function() body without sanitization. This allows an attacker to execute arbitrary system commands when user-controlled input reaches the parser. Any application exposing a math evaluation endpoint where user input flows into cg.parse() is vulnerable to full RCE. This issue has been patched in version 0.4.3."
    }
  ],
  "id": "CVE-2026-41507",
  "lastModified": "2026-05-12T14:26:48.890",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2026-05-08T14:16:34.133",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/mauriciopoppe/math-codegen/commit/4bb52d3030683362b3559ee8dd91350555a05f6b"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Issue Tracking"
      ],
      "url": "https://github.com/mauriciopoppe/math-codegen/pull/11"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://github.com/mauriciopoppe/math-codegen/security/advisories/GHSA-p6x5-p4xf-cc4r"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Primary"
    }
  ]
}


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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