mlflow up to 2.9.2 Jupyter Notebook cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in mlflow up to 2.9.2. Affected by this vulnerability is an unknown functionality of the component Jupyter Notebook Handler. Performing a manipulation results in cross site scripting. This vulnerability is identified as CVE-2024-27132. The attack can be initiated remotely. There is not any exploit available. Applying a patch is the recommended action to fix this issue.
Details
A vulnerability was found in mlflow up to 2.9.2. It has been classified as problematic. This affects an unknown functionality of the component Jupyter Notebook Handler. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.
The weakness was released 02/24/2024. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2024-27132 since 02/20/2024. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.
Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
Website
- Product: https://github.com/mlflow/mlflow/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 7.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.6
NVD Vector: 🔍
CNA Base Score: 7.5
CNA Vector (JFrog): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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: PatchStatus: 🔍
0-Day Time: 🔍
Patch: github.com
Timeline
02/20/2024 🔍02/23/2024 🔍
02/24/2024 🔍
04/18/2025 🔍
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2024-27132 (🔍)
GCVE (CVE): GCVE-0-2024-27132
GCVE (VulDB): GCVE-100-254661
Entry
Created: 02/24/2024 00:31Updated: 04/18/2025 17:56
Changes: 02/24/2024 00:31 (49), 01/22/2025 15:41 (30), 04/18/2025 17:56 (4)
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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