CVE-2014-0485 in S3QL
Summary
by MITRE
S3QL 1.18.1 and earlier uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object in (1) common.py or (2) local.py in backends/.
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Analysis
by VulDB Data Team • 12/21/2024
The vulnerability identified as CVE-2014-0485 affects S3QL version 1.18.1 and earlier, representing a critical security flaw that stems from the unsafe usage of Python's pickle module. This issue exists within the backends directory of the software, specifically in two key files: common.py and local.py. The pickle module in Python is designed for serializing and deserializing Python object structures, but when used unsafely, it creates a significant attack surface that can be exploited by remote adversaries. The vulnerability manifests when the application processes serialized objects from untrusted sources, allowing attackers to craft malicious payloads that execute arbitrary code on the target system.
The technical flaw lies in the improper handling of serialized data within the S3QL storage backend implementation. When the application loads data using pickle.loads() or similar unsafe deserialization methods, it fails to validate or sanitize the incoming serialized objects before processing them. This creates a classic deserialization vulnerability that enables remote code execution. The attack vector is particularly dangerous because it can be triggered through network-based interactions with the S3QL service, making it exploitable from remote locations without requiring local access. The vulnerability operates at the application layer and can be classified under CWE-502, which specifically addresses deserialization of untrusted data.
The operational impact of this vulnerability is severe and far-reaching for any system running affected versions of S3QL. Remote attackers who successfully exploit this vulnerability can gain complete control over the affected system, potentially leading to data breaches, system compromise, and further lateral movement within network environments. The attack can result in unauthorized access to stored data, modification of critical system files, and establishment of persistent backdoors. Organizations using S3QL for cloud storage management face significant risk, as the vulnerability can be exploited to compromise their entire storage infrastructure. The implications extend beyond individual systems to affect entire cloud storage ecosystems that rely on S3QL for data management.
Mitigation strategies for CVE-2014-0485 should focus on immediate remediation through version updates, as the vulnerability has been addressed in subsequent releases of S3QL. Organizations must upgrade to versions that properly handle serialized data using safer alternatives to pickle or implement proper input validation and sanitization. The recommended approach involves replacing unsafe pickle operations with secure serialization methods such as JSON or XML, which do not execute code during deserialization. Additionally, network-level protections such as firewall rules and intrusion detection systems should be configured to monitor for suspicious deserialization activities. The ATT&CK framework categorizes this vulnerability under T1210 - Exploitation of Remote Services, highlighting the need for comprehensive network monitoring and access control measures. System administrators should also implement principle of least privilege, ensuring that S3QL processes run with minimal required permissions to limit potential damage from successful exploits.