Apache Fory <0.12.2: DoS via Insecure Deserialization
CVE-2025-59328 Published on September 15, 2025

Apache Fory: Denial of Service (DoS) due to Deserialization of Untrusted malicious large Data
A vulnerability in Apache Fory allows a remote attacker to cause a Denial of Service (DoS). The issue stems from the insecure deserialization of untrusted data. An attacker can supply a large, specially crafted data payload that, when processed, consumes an excessive amount of CPU resources during the deserialization process. This leads to CPU exhaustion, rendering the application or system using the Apache Fory library unresponsive and unavailable to legitimate users. Users of Apache Fory are strongly advised to upgrade to version 0.12.2 or later to mitigate this vulnerability. Developers of libraries and applications that depend on Apache Fory should update their dependency requirements to Apache Fory 0.12.2 or later and release new versions of their software.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-59328 is exploitable with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.

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

Weakness Type

What is a Marshaling, Unmarshaling Vulnerability?

The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

CVE-2025-59328 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.


Products Associated with CVE-2025-59328

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Apache Fory
 

Affected Versions

Apache Software Foundation Apache Fory:

Exploit Probability

EPSS
2.54%
Percentile
85.68%

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.