pyload up to 0.5.0b3.dev91 dykpy.evaljs jk resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in pyload up to 0.5.0b3.dev91. This vulnerability affects the function dykpy.evaljs. Performing a manipulation of the argument jk results in resource consumption.
This vulnerability is identified as CVE-2025-57751. The attack can be initiated remotely. There is not any exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, was found in pyload up to 0.5.0b3.dev91. This affects the function dykpy.evaljs. The manipulation of the argument jk with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:
pyLoad is the free and open-source Download Manager written in pure Python. The jk parameter is received in pyLoad CNL Blueprint. Due to the lack of jk parameter verification, the jk parameter input by the user is directly determined as dykpy.evaljs(), resulting in the server CPU being fully occupied and the web-ui becoming unresponsive. This vulnerability is fixed in 0.5.0b3.dev92.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2025-57751 since 08/19/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 0.5.0b3.dev92 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Name
Version
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: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
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: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pyload 0.5.0b3.dev92
Timeline
08/19/2025 CVE reserved08/21/2025 Advisory disclosed
08/21/2025 VulDB entry created
08/21/2025 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-9gjj-6gj7-c4wj
Status: Confirmed
CVE: CVE-2025-57751 (🔒)
GCVE (CVE): GCVE-0-2025-57751
GCVE (VulDB): GCVE-100-320961
Entry
Created: 08/21/2025 22:31Changes: 08/21/2025 22:31 (68)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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