Doccano Open Source Annotation Tools for Machine Learning Practitioners REST Request privilege escalation
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.0 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Doccano Open Source Annotation Tools for Machine Learning Practitioners and Auto Labeling Pipeline Module to Annotate a Document Automatically. This issue affects some unknown processing of the component REST Request Handler. This manipulation causes Remote Privilege Escalation. This vulnerability appears as CVE-2024-40442. The attack may be initiated remotely. There is no available exploit. It is advisable to upgrade the affected component.
Details
A vulnerability has been found in Doccano Open Source Annotation Tools for Machine Learning Practitioners and Auto Labeling Pipeline Module to Annotate a Document Automatically (affected version unknown) and classified as critical. Affected by this vulnerability is an unknown functionality of the component REST Request Handler. The manipulation with an unknown input leads to a remote privilege escalation vulnerability. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
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 a crafted REST Request.
The advisory is shared at github.com. This vulnerability is known as CVE-2024-40442 since 07/05/2024. The exploitation appears to be easy. The attack can be launched remotely. Neither technical details nor an exploit are publicly available.
Upgrading eliminates this vulnerability.
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
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: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
07/05/2024 🔍09/23/2024 🔍
09/23/2024 🔍
09/23/2024 🔍
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2024-40442 (🔍)
GCVE (CVE): GCVE-0-2024-40442
GCVE (VulDB): GCVE-100-278293
Entry
Created: 09/23/2024 21:00Changes: 09/23/2024 21:00 (51)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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