CVE-2024-35060: n/a
An issue in the YAML Python library of NASA AIT-Core v2.5.2 allows attackers to execute arbitrary commands via supplying a crafted YAML file.
AI Analysis
Technical Summary
CVE-2024-35060 is a vulnerability identified in the YAML Python library integrated within NASA's AIT-Core version 2.5.2. This flaw allows remote attackers to execute arbitrary commands by crafting malicious YAML files that exploit unsafe deserialization or parsing mechanisms. The vulnerability arises because the YAML parser processes input without sufficient validation or sandboxing, enabling injection of commands during YAML deserialization. The CVSS 3.1 score of 7.5 reflects a high severity, with an attack vector over the network (AV:A), high attack complexity (AC:H), no privileges required (PR:N), and no user interaction needed (UI:N). The impact affects confidentiality, integrity, and availability (all rated high), meaning attackers can potentially gain full control over affected systems. Although no known exploits are currently reported in the wild, the vulnerability represents a significant risk due to the critical nature of NASA AIT-Core in aerospace and research environments. The CWE-319 tag indicates exposure of sensitive information through improper handling, which aligns with the arbitrary command execution risk. The absence of patches or mitigations in the report suggests that organizations must proactively implement defensive measures. This vulnerability highlights the risks of insecure YAML deserialization, a common vector for remote code execution in software that processes complex data formats without strict input validation.
Potential Impact
The potential impact of CVE-2024-35060 is severe for organizations using NASA AIT-Core v2.5.2 or similar YAML parsing libraries in critical aerospace, research, or industrial environments. Successful exploitation can lead to arbitrary command execution, allowing attackers to compromise system confidentiality by accessing sensitive data, integrity by modifying or injecting malicious data or commands, and availability by disrupting or disabling services. This could result in operational downtime, loss of critical mission data, unauthorized control over systems, and potential cascading effects in interconnected infrastructure. Given the high complexity and no requirement for user interaction or privileges, attackers with network access to vulnerable systems can exploit this remotely, increasing the attack surface. The lack of known exploits currently provides a window for mitigation, but the critical nature of affected systems elevates the urgency. Organizations in aerospace, defense, and research sectors could face espionage, sabotage, or data theft, impacting national security and commercial competitiveness.
Mitigation Recommendations
To mitigate CVE-2024-35060, organizations should: 1) Immediately audit and restrict sources of YAML input to trusted entities only, avoiding processing untrusted or unauthenticated YAML files. 2) Implement strict input validation and sanitization for all YAML data before parsing. 3) Use secure YAML parsing libraries or modes that disable unsafe deserialization features, such as disabling arbitrary object instantiation or command execution hooks. 4) Employ sandboxing or containerization to isolate YAML processing components, limiting the impact of potential exploits. 5) Monitor network traffic and system logs for unusual YAML parsing activity or command execution attempts. 6) Develop incident response plans specific to YAML-related exploits. 7) Engage with NASA or relevant vendors for patches or updates as they become available and apply them promptly. 8) Consider alternative data serialization formats with safer parsing characteristics if feasible. 9) Educate developers and system administrators about secure YAML handling best practices to prevent similar vulnerabilities.
Affected Countries
United States, France, Germany, Japan, Canada, United Kingdom, Australia, India, Russia, China
CVE-2024-35060: n/a
Description
An issue in the YAML Python library of NASA AIT-Core v2.5.2 allows attackers to execute arbitrary commands via supplying a crafted YAML file.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-35060 is a vulnerability identified in the YAML Python library integrated within NASA's AIT-Core version 2.5.2. This flaw allows remote attackers to execute arbitrary commands by crafting malicious YAML files that exploit unsafe deserialization or parsing mechanisms. The vulnerability arises because the YAML parser processes input without sufficient validation or sandboxing, enabling injection of commands during YAML deserialization. The CVSS 3.1 score of 7.5 reflects a high severity, with an attack vector over the network (AV:A), high attack complexity (AC:H), no privileges required (PR:N), and no user interaction needed (UI:N). The impact affects confidentiality, integrity, and availability (all rated high), meaning attackers can potentially gain full control over affected systems. Although no known exploits are currently reported in the wild, the vulnerability represents a significant risk due to the critical nature of NASA AIT-Core in aerospace and research environments. The CWE-319 tag indicates exposure of sensitive information through improper handling, which aligns with the arbitrary command execution risk. The absence of patches or mitigations in the report suggests that organizations must proactively implement defensive measures. This vulnerability highlights the risks of insecure YAML deserialization, a common vector for remote code execution in software that processes complex data formats without strict input validation.
Potential Impact
The potential impact of CVE-2024-35060 is severe for organizations using NASA AIT-Core v2.5.2 or similar YAML parsing libraries in critical aerospace, research, or industrial environments. Successful exploitation can lead to arbitrary command execution, allowing attackers to compromise system confidentiality by accessing sensitive data, integrity by modifying or injecting malicious data or commands, and availability by disrupting or disabling services. This could result in operational downtime, loss of critical mission data, unauthorized control over systems, and potential cascading effects in interconnected infrastructure. Given the high complexity and no requirement for user interaction or privileges, attackers with network access to vulnerable systems can exploit this remotely, increasing the attack surface. The lack of known exploits currently provides a window for mitigation, but the critical nature of affected systems elevates the urgency. Organizations in aerospace, defense, and research sectors could face espionage, sabotage, or data theft, impacting national security and commercial competitiveness.
Mitigation Recommendations
To mitigate CVE-2024-35060, organizations should: 1) Immediately audit and restrict sources of YAML input to trusted entities only, avoiding processing untrusted or unauthenticated YAML files. 2) Implement strict input validation and sanitization for all YAML data before parsing. 3) Use secure YAML parsing libraries or modes that disable unsafe deserialization features, such as disabling arbitrary object instantiation or command execution hooks. 4) Employ sandboxing or containerization to isolate YAML processing components, limiting the impact of potential exploits. 5) Monitor network traffic and system logs for unusual YAML parsing activity or command execution attempts. 6) Develop incident response plans specific to YAML-related exploits. 7) Engage with NASA or relevant vendors for patches or updates as they become available and apply them promptly. 8) Consider alternative data serialization formats with safer parsing characteristics if feasible. 9) Educate developers and system administrators about secure YAML handling best practices to prevent similar vulnerabilities.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-05-09T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6c56b7ef31ef0b5631e2
Added to database: 2/25/2026, 9:40:38 PM
Last enriched: 2/26/2026, 4:51:26 AM
Last updated: 4/12/2026, 7:55:45 AM
Views: 10
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