man-group dtale up to 3.13.1 Query Parameter run_query code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.0 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in man-group dtale up to 3.13.1. Affected by this issue is the function run_query of the component Query Parameter Handler. This manipulation causes code injection.
This vulnerability is handled as CVE-2024-9016. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in man-group dtale up to 3.13.1. It has been declared as critical. Affected by this vulnerability is the function run_query of the component Query Parameter Handler. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
man-group dtale version <= 3.13.1 contains a vulnerability where the query parameters from the request are directly passed into the run_query function without proper sanitization. This allows for unauthenticated remote command execution via the df.query method when the query engine is set to 'python'.
The advisory is shared at huntr.com. This vulnerability is known as CVE-2024-9016 since 09/19/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/20/2025). MITRE ATT&CK project uses the attack technique T1059 for this issue.
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 the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.0VulDB Meta Temp Score: 8.0
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (@huntr_ai): 🔍
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: 🔍
Status: Not defined
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/19/2024 🔍03/20/2025 🔍
03/20/2025 🔍
03/20/2025 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2024-9016 (🔍)
GCVE (CVE): GCVE-0-2024-9016
GCVE (VulDB): GCVE-100-300301
Entry
Created: 03/20/2025 13:43Changes: 03/20/2025 13:43 (63)
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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