Description
Hugging Face smolagents Remote Python Executor Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face smolagents. Authentication is not required to exploit this vulnerability. The specific flaw exists within the parsing of pickle data. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-28312.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-204810
1. Vulnerability Assessment and Severity Evaluation
The vulnerability EUVD-2025-204810, also known as CVE-2025-14931, is a critical remote code execution (RCE) flaw in the Hugging Face smolagents software. The vulnerability arises from the deserialization of untrusted data during the parsing of pickle data, which lacks proper validation. This allows remote attackers to execute arbitrary code without requiring authentication.
Severity Evaluation:
- CVSS Base Score: 10.0 (Critical)
- CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
The high CVSS score indicates that this vulnerability is extremely severe. The attack vector is network-based (AV:N), requires low complexity (AC:L), does not need any privileges (PR:N) or user interaction (UI:N), and has a high impact on confidentiality, integrity, and availability (C:H/I:H/A:H).
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attacks: Since the vulnerability can be exploited over the network, attackers can target the affected systems remotely.
- Untrusted Data Deserialization: The primary attack vector involves sending specially crafted pickle data to the vulnerable component, which then deserializes and executes the malicious code.
Exploitation Methods:
- Crafting Malicious Pickle Data: Attackers can craft pickle data that, when deserialized, executes arbitrary code.
- Automated Exploitation: Given the low complexity and lack of authentication requirements, automated scripts can be used to scan for and exploit vulnerable systems.
3. Affected Systems and Software Versions
Affected Systems:
- Hugging Face smolagents version 1.22.0
Potential Impact:
- Any system running the affected version of Hugging Face smolagents is at risk. This includes servers, cloud instances, and any other environments where the software is deployed.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Apply the latest security patches provided by Hugging Face.
- Network Segmentation: Isolate affected systems from the network to prevent remote exploitation.
- Input Validation: Implement strict input validation and sanitization for any data that is deserialized.
Long-Term Strategies:
- Regular Audits: Conduct regular security audits and vulnerability assessments.
- Secure Coding Practices: Ensure that developers follow secure coding practices, especially when handling deserialization.
- Monitoring: Implement continuous monitoring and logging to detect any suspicious activities.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to organizations within the European Union that use Hugging Face smolagents. Given the critical nature of the flaw, it could lead to widespread exploitation, resulting in data breaches, service disruptions, and potential financial losses. The European Cybersecurity Competence Centre (ECCC) and national cybersecurity authorities should issue advisories and guidelines to mitigate the risk.
6. Technical Details for Security Professionals
Vulnerability Details:
- Root Cause: The vulnerability stems from the improper handling of pickle data, which allows for the deserialization of untrusted data.
- Exploitation: An attacker can send a specially crafted pickle payload to the vulnerable component, leading to arbitrary code execution.
Detection and Response:
- Intrusion Detection Systems (IDS): Configure IDS to detect and alert on suspicious network traffic related to pickle data deserialization.
- Log Analysis: Monitor logs for any unusual activities related to the deserialization process.
- Incident Response: Have an incident response plan in place to quickly address any detected exploitation attempts.
References:
Conclusion: EUVD-2025-204810 is a critical vulnerability that requires immediate attention from cybersecurity professionals. Organizations should prioritize patching affected systems, implementing robust input validation, and enhancing monitoring and response capabilities to mitigate the risk. The European cybersecurity community should collaborate to ensure widespread awareness and effective mitigation strategies.