CVE-2023-2914
Published: 17 August 2023
Summary
CVE-2023-2914 is a high-severity Improper Input Validation (CWE-20) vulnerability in Rockwellautomation Thinmanager Thinserver. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 3.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
The vulnerability CVE-2023-2914 is an improper input validation issue that produces an integer overflow in Rockwell Automation Thinmanager Thinserver. When the ThinManager component processes incoming messages, the flaw triggers a read access violation that terminates the process, resulting in a denial of service.
A remote attacker with no authentication or user interaction can exploit the condition by sending a specially crafted synchronization protocol message, achieving a high-impact availability loss as reflected in the CVSS 7.5 vector. The associated EPSS score has remained flat at its peak value of 0.2577 since disclosure.
Official guidance is available in the Rockwell Automation knowledge-base article at the referenced URL.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-34360
Vulnerability details
The Rockwell Automation Thinmanager Thinserver is impacted by an improper input validation vulnerability, an integer overflow condition exists in the affected products. When the ThinManager processes incoming messages, a read access violation occurs and terminates the process. A malicious user…
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could exploit this vulnerability by sending a crafted synchronization protocol message and causing a denial of service condition in the software.
- 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.