CVE-2024-8297

Aug. 30, 2024, 3:28 p.m.

7.5
High

Description

A vulnerability was found in kitsada8621 Digital Library Management System 1.0. It has been classified as problematic. Affected is the function JwtRefreshAuth of the file middleware/jwt_refresh_token_middleware.go. The manipulation of the argument Authorization leads to improper output neutralization for logs. It is possible to launch the attack remotely. The name of the patch is 81b3336b4c9240f0bf50c13cb8375cf860d945f1. It is recommended to apply a patch to fix this issue.

Product(s) Impacted

Vendor Product Versions
Kitsada8621
  • Digital Library Management System
  • 1.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-116
Improper Encoding or Escaping of Output
The product prepares a structured message for communication with another component, but encoding or escaping of the data is either missing or done incorrectly. As a result, the intended structure of the message is not preserved.
CWE-117
Improper Output Neutralization for Logs
The product does not neutralize or incorrectly neutralizes output that is written to logs.

*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 kitsada8621 digital_library_management_system 1.0 / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N

    View Vector String

Timeline

Published: Aug. 29, 2024, 1:15 p.m.
Last Modified: Aug. 30, 2024, 3:28 p.m.

Status : Analyzed

CVE is currently being analyzed by NVD staff, this process results in association of reference link tags, CVSS scores, CWE association, and CPE applicability statements.

More info

Source

cna@vuldb.com

*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.