CVE-2024-7962 in ChuanhuChatGPT
Summary
by MITRE • 10/29/2024
An arbitrary file read vulnerability exists in gaizhenbiao/chuanhuchatgpt version 20240628 due to insufficient validation when loading prompt template files. An attacker can read any file that matches specific criteria using an absolute path. The file must not have a .json extension and, except for the first line, every other line must contain commas. This vulnerability allows reading parts of format-compliant files, including code and log files, which may contain highly sensitive information such as account credentials.
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Analysis
by VulDB Data Team • 10/29/2024
The CVE-2024-7962 vulnerability represents a critical arbitrary file read flaw in the gaizhenbiao/chuanhuchatgpt application version 20240628. This vulnerability stems from inadequate input validation mechanisms when processing prompt template files, creating a dangerous attack vector that allows malicious actors to access sensitive system files. The flaw specifically manifests when the application loads template files without proper sanitization of file paths, enabling attackers to exploit this weakness through carefully crafted absolute paths.
The technical implementation of this vulnerability involves a specific validation pattern that the application employs to determine which files can be read. Attackers must identify files that conform to particular structural requirements where the file cannot possess a .json extension and must have commas in every line except the first. This validation mechanism, while intended to filter legitimate template files, inadvertently creates a pathway for unauthorized file access. The vulnerability's design requires attackers to understand the application's file handling logic and construct payloads that meet these precise criteria, making it both sophisticated and potentially dangerous.
The operational impact of this vulnerability extends beyond simple file reading capabilities, as it can expose sensitive information contained within format-compliant files. Attackers can potentially access code repositories, log files, and configuration files that may contain account credentials, API keys, and other confidential data. This exposure creates significant risk for organizations using the affected application, as the vulnerability could lead to credential theft, system compromise, and unauthorized access to protected resources. The ability to read partial content from files that match the specified format criteria means attackers can gather intelligence about system configurations and application internals.
From a cybersecurity perspective, this vulnerability aligns with CWE-22 (Improper Limitation of a Pathname to a Restricted Directory) and represents a classic path traversal attack vector. The implementation follows patterns commonly seen in insecure file handling practices where absolute paths are accepted without proper validation. The ATT&CK framework categorizes this under T1566 (Phishing with Social Engineering) and T1078 (Valid Accounts) as attackers can leverage this vulnerability to obtain credentials and account information, potentially leading to further compromise. Organizations should consider this vulnerability as part of a broader attack chain that could enable lateral movement and persistence within compromised environments.
Mitigation strategies for CVE-2024-7962 should focus on implementing robust input validation and file access controls. The application must enforce strict path validation that prevents loading of files outside designated directories and reject any absolute paths that do not meet security requirements. Implementing proper file extension filtering, content validation, and access control mechanisms can prevent exploitation of this vulnerability. Organizations should also consider applying the principle of least privilege when configuring file access permissions and implementing monitoring for unauthorized file access attempts. Regular security assessments and code reviews should be conducted to identify similar vulnerabilities in other applications and systems.