CVE-2023-24816
Published: 10 February 2023
Summary
CVE-2023-24816 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Ipython Ipython. Its CVSS base score is 4.5 (Medium).
Operationally, ranked in the top 36.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0099
Vulnerability details
IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language. Versions prior to 8.1.0 are subject to a command injection vulnerability with very specific prerequisites. This vulnerability requires that…
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the function `IPython.utils.terminal.set_term_title` be called on Windows in a Python environment where ctypes is not available. The dependency on `ctypes` in `IPython.utils._process_win32` prevents the vulnerable code from ever being reached in the ipython binary. However, as a library that could be used by another tool `set_term_title` could be called and hence introduce a vulnerability. Should an attacker get untrusted input to an instance of this function they would be able to inject shell commands as current process and limited to the scope of the current process. Users of ipython as a library are advised to upgrade. Users unable to upgrade should ensure that any calls to the `IPython.utils.terminal.set_term_title` function are done with trusted or filtered input.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Directly implements checks on information inputs to reject invalid data before processing.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Platform-independent apps typically execute inside a managed runtime or sandbox that restricts direct OS command execution, reducing the ability to exploit OS command injection.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.