CVE-2026-82834: Improper Access Controls in Doccano Open Source Annotation Tools for Machine Learning Practitioners
Description
A security flaw has been discovered in Doccano Open Source Annotation Tools for Machine Learning Practitioners and Auto Labeling Pipeline Module to Annotate a Document Automatically up to 1.8.5. This affects the function LabelList of the file /v1/projects/1/category-types of the component Bulk-Delete Endpoint. Performing a manipulation results in improper access controls. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.
CVSS v4.0
Score 5.3medium
Affected software
Doccano
Open Source Annotation Tools for Machine Learning Practitioners
Doccano
Auto Labeling Pipeline Module to Annotate a Document Automatically
cpe:2.3:a:doccano:open_source_annotation_tools_for_machine_learning_practitioners:*:*:*:*:*:*:*:*cpe:2.3:a:doccano:auto_labeling_pipeline_module_to_annotate_a_document_automatically:*:*:*:*:*:*:*:*AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability affects Doccano versions 1.8.0 through 1.8.5 inclusive. The issue is located in the LabelList function of the Bulk-Delete Endpoint (/v1/projects/1/category-types), where improper access controls allow unauthorized remote manipulation. The flaw enables attackers with limited privileges to bypass intended access restrictions. Public exploit code exists, increasing the risk of exploitation. The vendor has not provided a response or patch, and no remediation level is indicated in the available data.
Potential Impact
An attacker can remotely exploit this vulnerability to bypass access controls in the affected endpoint, potentially allowing unauthorized deletion or modification of category types in annotation projects. This could lead to unauthorized data manipulation within the Doccano platform. The CVSS 4.0 base score is 5.3 (medium), reflecting network attack vector, low attack complexity, no user interaction, and limited privileges required.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded and no official fix is available, users should consider restricting network access to the affected endpoints and monitoring for suspicious activity related to category-type deletions. Avoid exposing the vulnerable versions to untrusted networks until a fix is released.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-08-31T07:25:51.029Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6a95d485acd9273b497d9e2c
Added to database: 08/31/2026, 19:22:45 UTC
Last enriched: 09/07/2026, 13:55:27 UTC
Last updated: 10/14/2026, 06:48:21 UTC
Views: 96
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