pyload up to 0.5.0b3.dev90 API /json/add_package add_links sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.0 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, was found in pyload up to 0.5.0b3.dev90. This impacts an unknown function of the file /json/add_package of the component API. The manipulation of the argument add_links results in sql injection. This vulnerability is reported as CVE-2025-55156. The attack can be launched remotely. No exploit exists. You should upgrade the affected component.
Details
A vulnerability classified as critical has been found in pyload up to 0.5.0b3.dev90. Affected is some unknown functionality of the file /json/add_package of the component API. The manipulation of the argument add_links with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
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.
The advisory is available at github.com. This vulnerability is traded as CVE-2025-55156 since 08/07/2025. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1505 by the MITRE ATT&CK project.
Upgrading to version 0.5.0b3.dev91 eliminates this vulnerability. Applying the patch 134edcdf6e2a10c393743c254da3d9d90b74258f is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Name
Version
License
Website
- Product: https://github.com/pyload/pyload/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pyload 0.5.0b3.dev91
Patch: 134edcdf6e2a10c393743c254da3d9d90b74258f
Timeline
08/07/2025 CVE reserved08/12/2025 Advisory disclosed
08/12/2025 VulDB entry created
08/12/2025 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-pwh4-6r3m-j2rf
Status: Confirmed
CVE: CVE-2025-55156 (🔒)
GCVE (CVE): GCVE-0-2025-55156
GCVE (VulDB): GCVE-100-319482
Entry
Created: 08/12/2025 07:04Updated: 08/12/2025 09:16
Changes: 08/12/2025 07:04 (71), 08/12/2025 09:16 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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