flairNLP flair 0.14.0 Mode File Loader clustering.py ClusteringModel code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as critical has been discovered in flairNLP flair 0.14.0. This affects the function ClusteringModel of the file flair\models\clustering.py of the component Mode File Loader. The manipulation results in code injection.
This vulnerability is reported as CVE-2024-10073. The attack can be launched remotely. Moreover, an exploit is present.
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 flairNLP flair 0.14.0. Affected is the function ClusteringModel of the file flair\models\clustering.py of the component Mode File Loader. The manipulation with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability.
The advisory is available at github.com. This vulnerability is traded as CVE-2024-10073. The exploitability is told to be difficult. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Successful exploitation requires user interaction by the victim. Technical details and a public exploit are known. This vulnerability is assigned to T1059 by the MITRE ATT&CK project.
The exploit is shared for download at github.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 best quality of vulnerability data, you may have to visit VulDB.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.0VulDB Meta Temp Score: 4.6
VulDB Base Score: 5.0
VulDB Temp Score: 4.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Programming Language: 🔍
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/17/2024 🔍10/17/2024 🔍
03/04/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2024-10073 (🔍)
GCVE (CVE): GCVE-0-2024-10073
GCVE (VulDB): GCVE-100-280722
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 10/17/2024 09:45Updated: 03/04/2025 13:08
Changes: 10/17/2024 09:45 (57), 03/04/2025 13:08 (3)
Complete: 🔍
Submitter: runshen.gao
Cache ID: 216::103
Submit
Accepted
- Submit #420055: flairNLP flair v0.14.0 Code Injection (by runshen.gao)
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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