CVE-2024-50649: n/a
The user avatar upload function in python_book V1.0 has an arbitrary file upload vulnerability.
AI Analysis
Technical Summary
CVE-2024-50649 is a critical security vulnerability identified in the python_book V1.0 application, specifically within its user avatar upload functionality. The vulnerability allows an attacker to perform arbitrary file uploads due to improper validation and sanitization of uploaded files. This weakness is classified under CWE-22, which involves path traversal or improper file path handling, enabling attackers to write files outside the intended directory. Exploiting this flaw requires no authentication or user interaction and can be conducted remotely over the network, making it highly accessible to attackers. The uploaded malicious files can be crafted to execute arbitrary code on the server, leading to full system compromise, data theft, or denial of service. The CVSS v3.1 score of 9.8 reflects the critical nature of this vulnerability, highlighting its high impact on confidentiality, integrity, and availability. Although no public exploits have been reported yet, the vulnerability's characteristics suggest it could be rapidly weaponized. The lack of available patches at the time of publication increases the urgency for organizations to implement interim mitigations. This vulnerability underscores the importance of secure file upload handling, including strict validation of file types, names, and storage paths, as well as employing least privilege principles for file storage directories.
Potential Impact
The impact of CVE-2024-50649 is severe for organizations running python_book V1.0 or similar vulnerable systems. Successful exploitation can lead to remote code execution, allowing attackers to gain unauthorized access to the underlying server environment. This can result in complete system compromise, data breaches involving sensitive user information, disruption of services through denial of service attacks, and potential lateral movement within the network. The vulnerability threatens confidentiality, integrity, and availability simultaneously, making it a critical risk. Organizations in sectors such as software development, education, and any industry relying on python_book for user management or content delivery are particularly vulnerable. The absence of authentication requirements and the ability to exploit remotely increase the attack surface significantly. Additionally, the lack of known patches or fixes at the time of disclosure means organizations must act quickly to prevent exploitation. The potential for attackers to upload web shells or malware could also facilitate persistent threats and further attacks on connected infrastructure.
Mitigation Recommendations
To mitigate CVE-2024-50649, organizations should immediately implement strict validation and sanitization of all uploaded files. This includes enforcing whitelist checks on file extensions and MIME types, validating file names to prevent directory traversal sequences, and restricting upload directories with proper permissions to avoid execution of uploaded files. Employing server-side checks to verify file content against expected formats can further reduce risk. If possible, disable the avatar upload feature temporarily until a patch is available. Use web application firewalls (WAFs) to detect and block suspicious upload attempts and monitor logs for unusual file upload activity. Running the application with the least privilege necessary and isolating upload directories from critical system components can limit damage if exploitation occurs. Organizations should also stay alert for official patches or updates from python_book developers and apply them promptly once released. Conducting regular security assessments and penetration testing focused on file upload functionalities can help identify similar vulnerabilities proactively.
Affected Countries
United States, Germany, India, United Kingdom, Canada, Australia, France, Japan, South Korea, Brazil
CVE-2024-50649: n/a
Description
The user avatar upload function in python_book V1.0 has an arbitrary file upload vulnerability.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-50649 is a critical security vulnerability identified in the python_book V1.0 application, specifically within its user avatar upload functionality. The vulnerability allows an attacker to perform arbitrary file uploads due to improper validation and sanitization of uploaded files. This weakness is classified under CWE-22, which involves path traversal or improper file path handling, enabling attackers to write files outside the intended directory. Exploiting this flaw requires no authentication or user interaction and can be conducted remotely over the network, making it highly accessible to attackers. The uploaded malicious files can be crafted to execute arbitrary code on the server, leading to full system compromise, data theft, or denial of service. The CVSS v3.1 score of 9.8 reflects the critical nature of this vulnerability, highlighting its high impact on confidentiality, integrity, and availability. Although no public exploits have been reported yet, the vulnerability's characteristics suggest it could be rapidly weaponized. The lack of available patches at the time of publication increases the urgency for organizations to implement interim mitigations. This vulnerability underscores the importance of secure file upload handling, including strict validation of file types, names, and storage paths, as well as employing least privilege principles for file storage directories.
Potential Impact
The impact of CVE-2024-50649 is severe for organizations running python_book V1.0 or similar vulnerable systems. Successful exploitation can lead to remote code execution, allowing attackers to gain unauthorized access to the underlying server environment. This can result in complete system compromise, data breaches involving sensitive user information, disruption of services through denial of service attacks, and potential lateral movement within the network. The vulnerability threatens confidentiality, integrity, and availability simultaneously, making it a critical risk. Organizations in sectors such as software development, education, and any industry relying on python_book for user management or content delivery are particularly vulnerable. The absence of authentication requirements and the ability to exploit remotely increase the attack surface significantly. Additionally, the lack of known patches or fixes at the time of disclosure means organizations must act quickly to prevent exploitation. The potential for attackers to upload web shells or malware could also facilitate persistent threats and further attacks on connected infrastructure.
Mitigation Recommendations
To mitigate CVE-2024-50649, organizations should immediately implement strict validation and sanitization of all uploaded files. This includes enforcing whitelist checks on file extensions and MIME types, validating file names to prevent directory traversal sequences, and restricting upload directories with proper permissions to avoid execution of uploaded files. Employing server-side checks to verify file content against expected formats can further reduce risk. If possible, disable the avatar upload feature temporarily until a patch is available. Use web application firewalls (WAFs) to detect and block suspicious upload attempts and monitor logs for unusual file upload activity. Running the application with the least privilege necessary and isolating upload directories from critical system components can limit damage if exploitation occurs. Organizations should also stay alert for official patches or updates from python_book developers and apply them promptly once released. Conducting regular security assessments and penetration testing focused on file upload functionalities can help identify similar vulnerabilities proactively.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-10-28T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6b9cb7ef31ef0b5572c0
Added to database: 2/25/2026, 9:37:32 PM
Last enriched: 2/27/2026, 10:40:50 PM
Last updated: 4/12/2026, 1:57:00 PM
Views: 15
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