CVE-2025-13805

Dec. 1, 2025, 3:39 p.m.

6.3
Medium

Description

A weakness has been identified in nutzam NutzBoot up to 2.6.0-SNAPSHOT. This affects the function getInputStream of the file nutzcloud/nutzcloud-literpc/src/main/java/org/nutz/boot/starter/literpc/impl/endpoint/http/HttpServletRpcEndpoint.java of the component LiteRpc-Serializer. Executing manipulation can lead to deserialization. The attack may be launched remotely. This attack is characterized by high complexity. The exploitability is reported as difficult. The exploit has been made available to the public and could be exploited.

Product(s) Impacted

Vendor Product Versions
Nutzam
  • Nutzboot
  • 2.6.0-SNAPSHOT

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*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 nutzam nutzboot 2.6.0-SNAPSHOT / / / / / / /

CVSS Score

6.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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: Dec. 1, 2025, 4:16 a.m.
Last Modified: Dec. 1, 2025, 3:39 p.m.

Status : Awaiting Analysis

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

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.