pyLoad up to 0.4.20/0.5.0b3.dev97 ClickNLoad Feature local_check authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.17 |
Summary
A vulnerability marked as critical has been reported in pyLoad up to 0.4.20/0.5.0b3.dev97. This vulnerability affects the function local_check of the component ClickNLoad Feature. Performing a manipulation results in authorization.
This vulnerability is cataloged as CVE-2026-33511. It is possible to initiate the attack remotely. There is no exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in pyLoad up to 0.4.20/0.5.0b3.dev97. This affects the function local_check of the component ClickNLoad Feature. The manipulation with an unknown input leads to a authorization vulnerability. CWE is classifying the issue as CWE-639. The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
pyLoad is a free and open-source download manager written in Python. From version 0.4.20 to before version 0.5.0b3.dev97, the local_check decorator in pyLoad's ClickNLoad feature can be bypassed by any remote attacker through HTTP Host header spoofing. This allows unauthenticated remote users to access localhost-restricted endpoints, enabling them to inject arbitrary downloads, write files to the storage directory, and execute JavaScript code. This issue has been patched in version 0.5.0b3.dev97.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-33511 since 03/20/2026. 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 of the vulnerability are known, but there is no available exploit.
Upgrading to version 0.5.0b3.dev97 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
- 0.4.0
- 0.4.1
- 0.4.2
- 0.4.3
- 0.4.4
- 0.4.5
- 0.4.6
- 0.4.7
- 0.4.8
- 0.4.9
- 0.4.10
- 0.4.11
- 0.4.12
- 0.4.13
- 0.4.14
- 0.4.15
- 0.4.16
- 0.4.17
- 0.4.18
- 0.4.19
- 0.4.20
- 0.5.0b3.dev97
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: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔒
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: AuthorizationCWE: CWE-639 / CWE-285 / CWE-266
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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pyLoad 0.5.0b3.dev97
Timeline
03/20/2026 CVE reserved03/24/2026 Advisory disclosed
03/24/2026 VulDB entry created
03/29/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-33511 (🔒)
GCVE (CVE): GCVE-0-2026-33511
GCVE (VulDB): GCVE-100-352839
Entry
Created: 03/24/2026 20:48Updated: 03/29/2026 11:35
Changes: 03/24/2026 20:48 (66), 03/29/2026 11:35 (12)
Complete: 🔍
Cache ID: 216:0B8:103
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