CVE-2023-26068
Published: 10 April 2023
Summary
CVE-2023-26068 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Lexmark Cslbn Firmware. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 0.8% 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-2023-26068, the second of four related issues affecting the embedded web server. The vulnerability is assigned CWE-20 and carries a CVSS 3.1 score of 9.8, reflecting a network-accessible attack with low complexity that requires no authentication or user interaction.
An unauthenticated remote attacker can supply crafted input to the affected devices and achieve full compromise of confidentiality, integrity, and availability. Public exploit code released on PacketStorm demonstrates remote code execution against the embedded web server, confirming that the flaw can be leveraged to run arbitrary commands on impacted printers and multifunction devices.
Lexmark has published official security alerts and a dedicated advisory PDF that describe the affected models and direct customers to firmware updates or configuration changes available through the vendor support portal. The current and peak EPSS score of 0.8134 indicates sustained exploitation interest following disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-29942
Vulnerability details
Certain Lexmark devices through 2023-02-19 mishandle Input Validation (issue 2 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.