CVE-2023-34150: Apache Any23 vulnerable to excessive memory usage
6.5
CVSS Score
3.1
Basic Information
CVE ID
GHSA ID
EPSS Score
0.21222%
CWE
Published
7/5/2023
Updated
11/7/2023
KEV Status
No
Technology
Java
Technical Details
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
| Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
|---|---|---|---|
| org.apache.any23:apache-any23 | maven | <= 2.7 |
Vulnerability Intelligence
Miggo AI
Root Cause Analysis
The vulnerability stems directly from the use of TikaEncodingDetector for encoding detection, as stated in the advisory. The CWE-400 (Uncontrolled Resource Consumption) indicates a lack of safeguards against resource exhaustion. Since TikaEncodingDetector is designed to analyze byte streams for charset detection, its detect() method would be the logical entry point where input validation should occur. The absence of input size checks before processing would allow maliciously large inputs to trigger excessive memory allocation, aligning with the described vulnerability mechanism. Though no patch details are available, the component and attack pattern are explicitly identified in the advisory.