DoS via Excess Data in Stork UI v1.0.0-2.3.0
CVE-2025-8696 Published on September 10, 2025

DoS attack against the Stork UI from an unauthenticated user
If an unauthenticated user sends a large amount of data to the Stork UI, it may cause memory and disk use problems for the system running the Stork server. This issue affects Stork versions 1.0.0 through 2.3.0.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-8696 is exploitable with network access, and does not require authorization privileges or user interaction. 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:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Types

What is a Stack Exhaustion Vulnerability?

The product allocates memory based on an untrusted, large size value, but it does not ensure that the size is within expected limits, allowing arbitrary amounts of memory to be allocated.

CVE-2025-8696 has been classified to as a Stack Exhaustion vulnerability or weakness.

Logging of Excessive Data

The software logs too much information, making log files hard to process and possibly hindering recovery efforts or forensic analysis after an attack. While logging is a good practice in general, and very high levels of logging are appropriate for debugging stages of development, too much logging in a production environment might hinder a system administrator's ability to detect anomalous conditions. This can provide cover for an attacker while attempting to penetrate a system, clutter the audit trail for forensic analysis, or make it more difficult to debug problems in a production environment.


Affected Versions

ISC Stork:

Exploit Probability

EPSS
0.12%
Percentile
31.03%

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.