CVE-2023-20102
Published: 05 April 2023
Summary
CVE-2023-20102 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Cisco Secure Network Analytics. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 18.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-24281
Vulnerability details
A vulnerability in the web-based management interface of Cisco Secure Network Analytics could allow an authenticated, remote attacker to execute arbitrary code on the underlying operating system. This vulnerability is due to insufficient sanitization of user-provided data that is parsed…
more
into system memory. An attacker could exploit this vulnerability by sending a crafted HTTP request to an affected device. A successful exploit could allow the attacker to execute arbitrary code on the underlying operating system as the administrator user.
- 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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.