CVE-2026-9509

May 29, 2026, 3:39 p.m.

8.7
High

Description

An unhandled exception in Suprema BioStar 2 (Server), versions 2.9.8, 2.9.10, and 2.9.11, that allows an unauthenticated remote attacker to cause a denial of service (DoS) by sending HTTP POST requests to the ‘/api/migration’ endpoint. This request triggers a failure that halts critical processes, leaving the system offline until the services or server are manually restarted. As a result, access control readers cease to function, and potential failures may occur in third-party integrations. Since the exploit requires no privileges or user interaction and is trivial to automate, the impact on availability is high, and the effect extends to interconnected systems.

Product(s) Impacted

Vendor Product Versions
Suprema
  • Biostar
  • 2.9.8, 2.9.10, 2.9.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-248
Uncaught Exception
An exception is thrown from a function, but it is not caught.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a suprema biostar 2.9.8 / / / / / / /
a suprema biostar 2.9.10 / / / / / / /
a suprema biostar 2.9.11 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: May 29, 2026, 1:16 p.m.
Last Modified: May 29, 2026, 3:39 p.m.

Status : Deferred

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.