Mitigation Strategy: 1. Pre-Parse Input Validation (Size/Depth Limits)
Description:
1. Size Limit: Before passing any data to simd-json
, calculate the size (in bytes) of the raw JSON input string. Reject any input exceeding a predefined maximum size (e.g., 1MB, 10MB – choose a value appropriate for your application). This is a pre-emptive check, done before simd-json
even sees the input.
2. Depth Limit (Estimation): Before parsing, estimate the maximum nesting depth of the JSON. This can be done with a simple recursive function that scans the input string, counting opening and closing brackets/braces ({
, [
, }
, ]
). Reject any input exceeding a predefined maximum depth (e.g., 10, 20). This is an estimation because a perfectly accurate depth calculation would essentially require parsing the JSON.
3. Key Length Validation: Iterate through the keys of the parsed JSON object and check their lengths against a predefined maximum (e.g., 256 characters).
* **Threats Mitigated:**
* **Resource Exhaustion (DoS):** (Severity: High) - Prevents `simd-json` from processing excessively large or deeply nested JSON that could consume excessive resources on the server, leading to a denial of service.
* **Key Length DoS:** (Severity: Medium) - Very long keys can consume excessive memory.
* **Impact:**
* **Resource Exhaustion:** Risk significantly reduced (from High to Low, assuming reasonable limits are set).
* **Key Length DoS:** Risk significantly reduced (from Medium to Low).
* **Currently Implemented:**
* Basic size limit check (in `input_handler.py`).
* **Missing Implementation:**
* Depth limit estimation (missing entirely). Should be added to `input_handler.py`.
* Key length validation (missing entirely). Should be added to `parser_module.py` after parsing.
Mitigation Strategy: 2. Input Padding (for Timing Attack Mitigation - Limited Effectiveness)
Description:
1. Determine Padding Size: Choose a fixed size for your JSON input. This size should be larger than the expected size of most valid inputs.
2. Pad Input: Before passing the JSON string to simd-json
, pad it with a consistent character (e.g., spaces or null bytes) to reach the predetermined fixed size. This padding should be done after any initial size checks (to avoid rejecting valid, but smaller, inputs). The padding character should be valid within the JSON context (e.g., whitespace).
3. Remove Padding (Potentially): If and only if your application logic requires the original, unpadded JSON data after parsing, you'll need to remove the padding. However, it's generally better to work with the parsed JSON object directly, rather than the raw string, so this step is often unnecessary.
* **Threats Mitigated:**
* **Timing Attacks (Information Leakage):** (Severity: Low to Medium) - Makes it *more difficult* (but not impossible) for an attacker to infer information about the JSON structure by measuring processing time variations. This is a *defense-in-depth* measure, not a primary defense.
* **Impact:**
* **Timing Attacks:** Risk reduced (from Low/Medium to Very Low). This is a weak mitigation on its own and should be combined with other security measures.
* **Currently Implemented:**
* None.
* **Missing Implementation:**
* Entirely missing. Could be added to `input_handler.py`, *before* the call to `simd-json`.
Mitigation Strategy: 3. Regular simd-json
Updates
Description:
1. Monitor for Updates: Regularly check the simd-json
GitHub repository (or your package manager's update notifications) for new releases and security advisories.
2. Automated Dependency Management: Use a dependency management system (e.g., npm
, pip
, Cargo
, Dependabot) to track simd-json
and its dependencies. Configure the system to automatically notify you of new versions or, ideally, to automatically create pull requests with updates.
3. Update and Test: When a new version of simd-json
is available (especially if it addresses a security vulnerability), update your project's dependency. After updating, thoroughly run your application's test suite (unit tests, integration tests, etc.) to ensure that the update hasn't introduced any regressions or compatibility problems.
* **Threats Mitigated:**
* **Known Vulnerabilities:** (Severity: Varies, from Low to Critical) - Addresses vulnerabilities that have been publicly disclosed and fixed in newer versions of `simd-json`.
* **Impact:**
* **Known Vulnerabilities:** Risk significantly reduced (reduces the risk of exploitation by known vulnerabilities to near zero, assuming prompt updates).
* **Currently Implemented:**
* Using a dependency management system (`pip`).
* **Missing Implementation:**
* Automated dependency update checks (e.g., Dependabot integration).
* A documented process for testing after updates.