CVE-2025-8917 in clearml
Summary
by MITRE • 10/05/2025
A vulnerability in allegroai/clearml version v2.0.1 allows for path traversal due to improper handling of symbolic and hard links in the `safe_extract` function. This flaw can lead to arbitrary file writes outside the intended directory, potentially resulting in remote code execution if critical files are overwritten.
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Analysis
by VulDB Data Team • 10/05/2025
The vulnerability identified as CVE-2025-8917 resides within the allegroai/clearml software version v2.0.1 and represents a critical path traversal flaw that stems from inadequate handling of symbolic and hard links during archive extraction operations. This issue manifests specifically within the `safe_extract` function which is designed to prevent unauthorized file access but fails to properly validate link types during the extraction process. The flaw enables attackers to manipulate the extraction behavior by leveraging symbolic or hard links that point to locations outside the intended extraction directory, thereby bypassing the security controls meant to contain file operations within designated boundaries.
The technical implementation of this vulnerability exploits the fundamental weakness in how the software processes file system metadata during archive extraction. When the `safe_extract` function encounters a symbolic link that points to a location outside the target directory, it fails to validate whether the link destination is within the allowed extraction scope. Similarly, hard links that reference files outside the intended directory are not properly filtered, creating a pathway for attackers to write files to arbitrary locations on the system. This behavior directly violates the principle of least privilege and undermines the security model designed to isolate extraction operations within controlled boundaries. The vulnerability is classified under CWE-22 Path Traversal and aligns with ATT&CK technique T1059.007 Command and Scripting Interpreter: PowerShell, as it enables potential remote code execution through file overwrite operations.
The operational impact of CVE-2025-8917 extends beyond simple unauthorized file access, as it creates a potential vector for remote code execution when attackers can identify and overwrite critical system files or application components. The vulnerability affects any environment where clearml processes untrusted archive files, particularly those used in machine learning pipeline management, automated testing environments, or continuous integration systems. Attackers could exploit this flaw by crafting malicious archives containing carefully placed symbolic or hard links that, when processed by the vulnerable software, result in the overwrite of configuration files, binary executables, or other critical system components. The severity is amplified by the fact that such operations often occur with elevated privileges, particularly in server environments where clearml is used for automated processing of user-uploaded content or third-party datasets.
Mitigation strategies for CVE-2025-8917 should focus on immediate software updates to patched versions of clearml that properly handle link validation during extraction operations. Organizations should implement strict input validation for all archive files processed by clearml, including signature verification and content scanning to detect potentially malicious link structures. Network segmentation and privilege separation should be enforced to limit the impact of potential exploitation, ensuring that extraction processes run with minimal required permissions. The implementation of automated monitoring systems to detect unusual file system modifications during extraction operations can provide early warning of potential exploitation attempts. Additionally, organizations should conduct comprehensive security assessments of their clearml deployment environments to identify and remediate any custom configurations that may inadvertently expose the system to this vulnerability. The remediation process should also include updating system-level security controls such as SELinux policies or AppArmor profiles to prevent unauthorized file system access patterns that could be leveraged by attackers exploiting this path traversal flaw.