CVE-2023-26067
Published: 10 April 2023
Summary
CVE-2023-26067 is a high-severity Improper Input Validation (CWE-20) vulnerability in Lexmark Cslbn Firmware. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 0.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
Certain Lexmark devices through February 2023 contain an input validation flaw tracked as CVE-2023-26067, the first of four related issues and assigned CWE-20. The vulnerability resides in the embedded web server component and carries a CVSS 3.1 score of 8.1 reflecting network attack vector, high attack complexity, and no required credentials or user interaction.
An unauthenticated remote attacker can supply crafted input to the affected devices and obtain remote code execution, resulting in full compromise of confidentiality, integrity, and availability. Public exploit code targeting the embedded web server has been published on Packet Storm.
Lexmark has published a dedicated security advisory (CVE-2023-26067.pdf) and maintains an alerts page at support.lexmark.com that address the issue for impacted models. The EPSS score has remained at 0.93 since disclosure, indicating sustained exploitation interest without a documented rise from a lower baseline.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-29941
Vulnerability details
Certain Lexmark devices through 2023-02-19 mishandle Input Validation (issue 1 of 4).
- 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.
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.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.