Doccano Open Source Annotation Tools for Machine Learning Practitioners privilege escalation
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $0-$5k | 0.00 |
Summary
A vulnerability 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. This vulnerability affects unknown code. The manipulation of the argument model_attribs results in Remote Privilege Escalation. This vulnerability is reported as CVE-2024-40441. The attack can be launched remotely. No exploit exists. Upgrading the affected component is advised.
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 (version unknown). Affected is an unknown function. The manipulation of the argument model_attribs with an unknown input leads to a remote privilege escalation vulnerability. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote attacker to escalate privileges via the model_attribs parameter.
The advisory is shared for download at github.com. This vulnerability is traded as CVE-2024-40441 since 07/05/2024. The exploitability is told to be easy. It is possible to launch the attack remotely. There are known technical details, but no exploit is available.
Upgrading eliminates this vulnerability. The upgrade is hosted for download at github.com.
Once again VulDB remains the best source for vulnerability data.
Product
Type
Vendor
Name
- Auto Labeling Pipeline Module to Annotate a Document Automatically
- Open Source Annotation Tools for Machine Learning Practitioners
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.0
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Privilege escalationCWE: Unknown
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: github.com
Timeline
07/05/2024 🔍09/23/2024 🔍
09/23/2024 🔍
09/23/2024 🔍
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2024-40441 (🔍)
GCVE (CVE): GCVE-0-2024-40441
GCVE (VulDB): GCVE-100-278292
Entry
Created: 09/23/2024 21:00Changes: 09/23/2024 21:00 (52), 09/23/2024 21:01 (1)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.
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