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Summary
code injection in remote (CVE-2026-41507). Successful exploitation can lead to full system takeover.
AI summary openai / gpt-4o
A critical issue has been found in certain versions of the math-codegen software, where user input can be exploited to execute arbitrary system commands. This could lead to the system being taken over by an attacker. Affected versions are those below 0.4.3, with a fix available in version 0.4.3. Immediate update is recommended.
The vulnerability arises in the cg.parse() method where user input is improperly sanitized, being directly injected into the body of a new Function(), allowing arbitrary code execution. The patch is available in version 0.4.3, affecting versions earlier than this. As a workaround, manually escape user inputs or utilize JSON.stringify() before processing. This vulnerability was reported by GitHub user hits3134.
❓ What is the problem
String literal content in cg.parse() is injected verbatim into new Function() body without sanitization, leading to RCE.
📍 Affected scope
In the math-codegen library, within the cg.parse() function.
🔥 Severity
Critical, allowing full remote code execution without prior authentication or user interaction.
🔧 How to fix
Upgrade to math-codegen version 0.4.3 or later.
🛡️ Workaround
Manually escape user inputs or use JSON.stringify() before passing inputs to cg.parse().
🔍 Detection
Check for instances where cg.parse() is called with user-provided inputs in versions before 0.4.3.
Related past incidents Similar incidents extracted from past CVEs
Similar RCE vulnerability due to unsanitized user input in a JavaScript library.
Another instance of RCE vulnerability through improper input sanitization in a code generation library.
Both vulnerabilities allow unintended code/data access but differ in technique.
If this happens at your company Expected impact per business scenario
📌 ECサイトの場合
攻撃者がサーバーに悪意のあるコードを実行し、顧客データにアクセスする可能性があります。
📌 金融機関のアプリケーション
不正な取引や顧客のプライバシー侵害が発生する可能性があります。
📌 社内開発環境
開発者の作業環境が不正に操作され、機密コードが盗まれる恐れがあります。
Recommended action
適切なパッチを適用しユーザー入力の削除処理を強化してください。
Response Actions (7 steps)
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
Audit SBOM/dependencies for affected components.依存マニフェストで影響コンポーネントを特定する。
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2Match against affected range verify
Confirm if version satisfies `< 0.4.3`Step 1 で見つかったバージョンが影響範囲 `< 0.4.3` に該当するか照合。本番で稼働中ならインシデント扱い。
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7Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番では Step 3 と同じログクエリでアラート再発が無いか継続監視。
References
- web [email protected]
- web [email protected]
- web [email protected]