CVE-2026-47216

June 12, 2026, 6:16 p.m.

8.7
High

Description

Typesense is a fast, typo-tolerant search engine. Prior to versions 29.1 and 30.2, there is an unauthenticated denial-of-service vulnerability in the /multi_search endpoint. A specially crafted request can trigger an unhandled exception during request processing, causing the server process to terminate. This issue can be exploited over the network without authentication and results in service unavailability. The duration of impact may vary depending on system configuration and dataset size. This issue has been patched in versions 29.1 and 30.2.

Product(s) Impacted

Vendor Product Versions
Typesense
  • Typesense
  • <29.1, <30.2

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-754
Improper Check for Unusual or Exceptional Conditions
The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.

*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 typesense typesense <29.1 / / / / / /
a typesense typesense <30.2 / / / / / /

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: June 12, 2026, 6:16 p.m.
Last Modified: June 12, 2026, 6:16 p.m.

Status : Received

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.