### Key Information Summary #### Vulnerability Overview - **CVE ID**: Not assigned - **Vulnerability Type**: CWE-502: Deserialization of Untrusted Data - **Impact**: Remote Code Execution (RCE), Information Disclosure, Denial of Service, Privilege Escalation #### Vulnerability Details - **Affected Library**: `cryptidy` (Python Package Index) - **Affected Versions**: 1.2.4 or "all versions up to current" (unconfirmed) - **Component**: `cryptidy/symmetric_encryption.py` - vulnerable `decrypt_message()` function (uses `pickle.loads`) - **Attack Type**: Remote #### Attack Vector - Attackers can supply malicious encrypted data. Upon decryption and processing via `pickle.loads`, arbitrary code is executed. Example files `payload_malicioso.bin` and test script `ejecutar_exploit.py` are provided. #### Proof of Concept (PoC) - Included files: - `cve_report.md`: Technical report (in Spanish) - `payload_malicioso.bin`: Sample malicious payload (binary) - `ejecutar_exploit.py`: Script to run PoC locally - `exploit.txt`: Output log of PoC execution - `cve_hunter_advanced.log`: Test log - Security Note: `payload_malicioso.bin` and `payload_malicioso_cifrado.b64` only open the calculator when executed; should only be used in controlled environments. #### Mitigation / Patch Recommendations 1. Avoid using `pickle` with untrusted input; use secure formats like JSON or validated serialization libraries instead. 2. If binary serialization is required, enforce strict validation during deserialization and restrict the list of allowed classes. 3. Execute deserialization code with minimal privileges, adhering to the principle of least privilege. 4. Example quick fix: Replace original code with `pickle.loads` that includes restricted validation. #### References - Technical report file: `cve_report.md` - PoC files included in the repository