pyLoad up to 0.4.20/0.5.0b3.dev97 ClickNLoad Feature local_check authorization

CVSS Meta Temp Score
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CTI Interest Score
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8.4$0-$5k0.17

Summaryinfo

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.

Detailsinfo

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.

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB 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: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Authorization
CWE: 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: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: pyLoad 0.5.0b3.dev97

Timelineinfo

03/20/2026 CVE reserved
03/24/2026 +4 days Advisory disclosed
03/24/2026 +0 days VulDB entry created
03/29/2026 +5 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-33511 (🔒)
GCVE (CVE): GCVE-0-2026-33511
GCVE (VulDB): GCVE-100-352839

Entryinfo

Created: 03/24/2026 20:48
Updated: 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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