CVE-2025-15222

Published: Dic 30, 2025 Last Modified: Dic 31, 2025
ExploitDB:
Other exploit source:
Google Dorks:
LOW 2,3
Attack Vector: network
Attack Complexity: high
Privileges Required: low
User Interaction: none
Confidentiality: N/A
Integrity: N/A
Availability: N/A
MEDIUM 5,0
Attack Vector: network
Attack Complexity: high
Privileges Required: low
User Interaction: none
Scope: unchanged
Confidentiality: low
Integrity: low
Availability: low
MEDIUM 4,6
Access Vector: network
Access Complexity: high
Authentication: single
Confidentiality: partial
Integrity: partial
Availability: partial

Description

AI Translation Available

A vulnerability has been found in Dromara Sa-Token up to 1.44.0. This issue affects the function ObjectInputStream.readObject of the file SaSerializerTemplateForJdkUseBase64.java. Such manipulation leads to deserialization. The attack can be executed remotely. This attack is characterized by high complexity. The exploitability is assessed as difficult. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0005
Percentile
0,1th
Updated

EPSS Score Trend (Last 76 Days)

20

Improper Input Validation

Stable
Common Consequences
Security Scopes Affected:
Availability Confidentiality Integrity
Potential Impacts:
Dos: Crash, Exit, Or Restart Dos: Resource Consumption (Cpu) Dos: Resource Consumption (Memory) Read Memory Read Files Or Directories Modify Memory Execute Unauthorized Code Or Commands
Applicable Platforms
All platforms may be affected
View CWE Details
502

Deserialization of Untrusted Data

Draft
Common Consequences
Security Scopes Affected:
Integrity Availability Other
Potential Impacts:
Modify Application Data Unexpected State Dos: Resource Consumption (Cpu) Varies By Context
Applicable Platforms
Languages: Java, JavaScript, PHP, Python, Ruby
Technologies: AI/ML, ICS/OT, Not Technology-Specific
View CWE Details
https://github.com/Yohane-Mashiro/satoken-deserialization
https://vuldb.com/?ctiid.338607
https://vuldb.com/?id.338607
https://vuldb.com/?submit.717703