Doccano Open Source Annotation Tools for Machine Learning Practitioners Project Example Detail Endpoint /v1/projects/1/examples/ ExampleDetail access control
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 1.25+ |
Summary
A vulnerability identified as critical has been detected 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 ExampleDetail of the file /v1/projects/1/examples/ of the component Project Example Detail Endpoint. Performing a manipulation results in access control.
This vulnerability is known as CVE-2026-82833. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability, which was classified as critical, was found 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 ExampleDetail of the file /v1/projects/1/examples/ of the component Project Example Detail Endpoint. The manipulation with an unknown input leads to a access control vulnerability. CWE is classifying the issue as CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. This is going to have an impact on confidentiality, integrity, and availability.
The advisory is shared at drive.google.com. This vulnerability is uniquely identified as CVE-2026-82833. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details and a public exploit are known. MITRE ATT&CK project uses the attack technique T1068 for this issue.
The exploit is shared for download at drive.google.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Vendor
Name
- Auto Labeling Pipeline Module to Annotate a Document Automatically
- Open Source Annotation Tools for Machine Learning Practitioners
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 5.7
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Access controlCWE: CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/31/2026 Advisory disclosed08/31/2026 VulDB entry created
08/31/2026 VulDB entry last update
Sources
Advisory: drive.google.comStatus: Not defined
CVE: CVE-2026-82833 (🔒)
GCVE (CVE): GCVE-0-2026-82833
GCVE (VulDB): GCVE-100-397245
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 08/31/2026 09:30Changes: 08/31/2026 09:30 (58)
Complete: 🔍
Submitter: Stephen Lin
Cache ID: 216::103
Submit
Accepted
- Submit #876617: doccano v1.8.5 Broken Access Control (by Stephen Lin)
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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