| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in lunary-ai lunary up to 1.2.7. The affected element is an unknown function. Performing a manipulation results in authorization. This vulnerability is cataloged as CVE-2024-5130. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.
Details
A vulnerability, which was classified as problematic, was found in lunary-ai lunary up to 1.2.7. This affects some unknown functionality. The manipulation with an unknown input leads to a authorization vulnerability. CWE is classifying the issue as CWE-863. The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions. This is going to have an impact on integrity. The summary by CVE is:
An Incorrect Authorization vulnerability exists in lunary-ai/lunary versions up to and including 1.2.2, which allows unauthenticated users to delete any dataset. The vulnerability is due to the lack of proper authorization checks in the dataset deletion endpoint. Specifically, the endpoint does not verify if the provided project ID belongs to the current user, thereby allowing any dataset to be deleted without proper authentication. This issue was fixed in version 1.2.8.
It is possible to read the advisory at huntr.com. This vulnerability is uniquely identified as CVE-2024-5130 since 05/19/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 1.2.8 eliminates this vulnerability. Applying the patch 14078c1d2b8766075bf655f187ece24c7a787776 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Product: https://github.com/lunary-ai/lunary/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.7
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CNA Base Score: 7.5
CNA Vector (huntr.dev): 🔍
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: AuthorizationCWE: CWE-863 / CWE-285 / CWE-266
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: lunary 1.2.8
Patch: 14078c1d2b8766075bf655f187ece24c7a787776
Timeline
05/19/2024 🔍06/06/2024 🔍
06/06/2024 🔍
10/03/2024 🔍
Sources
Product: github.comAdvisory: huntr.com
Status: Confirmed
CVE: CVE-2024-5130 (🔍)
GCVE (CVE): GCVE-0-2024-5130
GCVE (VulDB): GCVE-100-267339
Entry
Created: 06/06/2024 21:30Updated: 10/03/2024 23:20
Changes: 06/06/2024 21:30 (65), 06/08/2024 06:22 (1), 10/03/2024 23:20 (12)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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