Focus on baryhuang vulnerabilities and metrics.
Last updated: 16 Jan 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with baryhuang. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.
For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.
Total baryhuang CVEs: 1
Earliest CVE date: 18 Nov 2025, 16:15 UTC
Latest CVE date: 18 Nov 2025, 16:15 UTC
Latest CVE reference: CVE-2025-63604
30-day Count (Rolling): 0
365-day Count (Rolling): 1
Calendar-based Variation
Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.
Month Variation (Calendar): -100.0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): -100.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 0.0
Max CVSS: 0
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 1 |
| 4.0-6.9 | 0 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for baryhuang, sorted by severity first and recency.
A code injection vulnerability exists in baryhuang/mcp-server-aws-resources-python 0.1.0 that allows remote code execution through insufficient input validation in the execute_query method. The vulnerability stems from the exposure of dangerous Python built-in functions (__import__, getattr, hasattr) in the execution namespace and the direct use of exec() to execute user-supplied code. An attacker can craft malicious queries to execute arbitrary Python code, leading to AWS credential theft (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), file system access, environment variable disclosure, and potential system compromise. The vulnerability allows attackers to bypass intended security controls and gain unauthorized access to sensitive AWS resources and credentials stored in the server's environment.