CVE-2025-14308: Robocode Buffer Overflow Vulnerability

CVE-2025-14308 Overview

An integer overflow vulnerability exists in the write method of the Buffer class in Robocode version 1.9.3.6. The method fails to properly validate the length of data being written, allowing attackers to cause an overflow that can potentially lead to buffer overflows and arbitrary code execution. This vulnerability can be exploited by submitting specially crafted inputs that manipulate the data length, resulting in potential unauthorized code execution on affected systems.

Critical Impact

This integer overflow vulnerability in Robocode's Buffer class can lead to arbitrary code execution via network-based attacks without requiring authentication or user interaction.

Affected Products

• Robocode version 1.9.3.6

Discovery Timeline

• 2025-12-09 - CVE-2025-14308 published to NVD
• 2026-01-05 - Last updated in NVD database

Technical Details for CVE-2025-14308

Vulnerability Analysis

This vulnerability is classified as CWE-190 (Integer Overflow or Wraparound). The core issue resides in the Buffer class's write method, which lacks proper bounds checking on the length parameter of incoming data. When an attacker supplies carefully crafted input with manipulated length values, the integer calculation overflows, causing the buffer to allocate less memory than required for the actual data being written.

The network-accessible attack surface allows remote exploitation without any authentication requirements. Successful exploitation could allow an attacker to corrupt memory structures, potentially achieving arbitrary code execution within the context of the application. The vulnerability is particularly dangerous because it requires no user interaction and can be triggered remotely.

Root Cause

The root cause of this vulnerability is improper validation of data length parameters in the write method of the Buffer class. When the length value is manipulated to cause an integer overflow, subsequent memory operations proceed with incorrect size calculations. This leads to a classic buffer overflow condition where data is written beyond the allocated buffer boundaries, corrupting adjacent memory structures.

Attack Vector

The attack is network-based and does not require authentication or privileges. An attacker can craft malicious input with a specially designed length parameter that causes the integer overflow condition. When this input is processed by the write method:

1. The attacker sends a request with a manipulated data length value designed to overflow integer boundaries
2. The Buffer class calculates an incorrect (smaller) allocation size due to the overflow
3. When the actual data is written, it exceeds the allocated buffer
4. This buffer overflow can corrupt memory, potentially allowing arbitrary code execution

The vulnerability mechanism involves integer overflow leading to buffer overflow. When the data length parameter overflows, the resulting small allocation cannot accommodate the actual data being written, causing memory corruption. Refer to the GitHub Pull Request #70 for technical details on the fix implementation.

Detection Methods for CVE-2025-14308

Indicators of Compromise

• Unexpected crashes or memory corruption errors in Robocode application logs
• Abnormal network traffic patterns with unusually large or malformed data length values targeting Robocode services
• Memory access violations or segmentation faults in the Buffer class operations
• Evidence of code execution attempts following application crashes

Detection Strategies

• Monitor application logs for exceptions related to buffer operations or memory access violations in the Buffer class
• Implement network intrusion detection rules to identify packets with anomalous length fields targeting Robocode services
• Deploy runtime application monitoring to detect integer overflow conditions in memory allocation operations
• Use memory protection tools to identify out-of-bounds write attempts

Monitoring Recommendations

• Enable detailed logging for the Robocode application to capture buffer operation anomalies
• Configure alerts for unexpected process crashes or memory corruption events
• Monitor network traffic for patterns consistent with exploitation attempts targeting the vulnerable endpoint
• Implement application-level integrity monitoring to detect unauthorized code execution

How to Mitigate CVE-2025-14308

Immediate Actions Required

• Upgrade Robocode to a version that includes the security fix referenced in Pull Request #70
• If immediate patching is not possible, restrict network access to Robocode services to trusted sources only
• Implement network-level controls to filter potentially malicious input before it reaches the application
• Monitor for exploitation attempts while preparing to apply the patch

Patch Information

A fix has been submitted via GitHub Pull Request #70. Organizations should review the pull request and apply the patched version as soon as it becomes available in an official release. The fix addresses the integer overflow by implementing proper bounds checking on the length parameter in the write method of the Buffer class.

Workarounds

• Implement network segmentation to limit exposure of Robocode services to untrusted networks
• Deploy a web application firewall or input validation proxy to filter requests with anomalous data length values
• Restrict access to the vulnerable service using firewall rules or access control lists
• Consider disabling the affected functionality if it is not critical to operations until the patch is applied

# Network restriction example - limit access to Robocode service
# Replace <robocode_port> with the actual port used by the service
iptables -A INPUT -p tcp --dport <robocode_port> -s <trusted_network> -j ACCEPT
iptables -A INPUT -p tcp --dport <robocode_port> -j DROP