CVE-2025-48375

May 23, 2025, 4:15 p.m.

6.6
Medium

Description

Schule is open-source school management system software. Prior to version 1.0.1, the file forgot_password.php (or equivalent endpoint responsible for email-based OTP generation) lacks proper rate limiting controls, allowing attackers to abuse the OTP request functionality. This vulnerability can be exploited to send an excessive number of OTP emails, leading to potential denial-of-service (DoS) conditions or facilitating user harassment through email flooding. Version 1.0.1 fixes the issue.

Product(s) Impacted

Vendor Product Versions
Schule
  • Schule
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-770
Allocation of Resources Without Limits or Throttling
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.

*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 schule schule / / / / / / / /

CVSS Score

6.6 / 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: UNREPORTED
  • 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:U/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 23, 2025, 4:15 p.m.
Last Modified: May 23, 2025, 4:15 p.m.

Status : Received

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

More info

Source

security-advisories@github.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.