Fastjson <1.2.48 JNDI Injection via @type Field (CVE-2025-70974)
CVE-2025-70974 Published on January 9, 2026

Fastjson before 1.2.48 mishandles autoType because, when an @type key is in a JSON document, and the value of that key is the name of a Java class, there may be calls to certain public methods of that class. Depending on the behavior of those methods, there may be JNDI injection with an attacker-supplied payload located elsewhere in that JSON document. This was exploited in the wild in 2023 through 2025. NOTE: this issue exists because of an incomplete fix for CVE-2017-18349. Also, a later bypass is covered by CVE-2022-25845.

NVD

Vulnerability Analysis

CVE-2025-70974 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. An automatable proof of concept (POC) exploit exists. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

Inclusion of Functionality from Untrusted Control Sphere

The software imports, requires, or includes executable functionality (such as a library) from a source that is outside of the intended control sphere.


Products Associated with CVE-2025-70974

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Red Hat Service Mesh
 
Red Hat Camel Spring Boot
 
Red Hat Debezium
 
Red Hat Jboss Fuse
 
Red Hat Jboss Enterprise Application Platform
 
Red Hat Jbosseapxp
 

Affected Versions

Alibaba Fastjson: Red Hat OpenShift Service Mesh 2: Red Hat build of Apache Camel for Spring Boot 4: Red Hat build of Debezium 2: Red Hat build of Debezium 3: Red Hat Fuse 7: Red Hat JBoss Enterprise Application Platform 8: Red Hat JBoss Enterprise Application Platform Expansion Pack:

Exploit Probability

EPSS
0.57%
Percentile
42.71%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.