langgenius dify Vanna vn.get_training_plan_generic code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in langgenius dify. Affected by this vulnerability is the function vn.get_training_plan_generic of the component Vanna Module. This manipulation causes code injection.
This vulnerability is registered as CVE-2025-0185. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in langgenius dify (version now known). It has been declared as critical. Affected by this vulnerability is the function vn.get_training_plan_generic of the component Vanna Module. 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:
A vulnerability in the Dify Tools' Vanna module of the langgenius/dify repository allows for a Pandas Query Injection in the latest version. The vulnerability occurs in the function `vn.get_training_plan_generic(df_information_schema)`, which does not properly sanitize user inputs before executing queries using the Pandas library. This can potentially lead to Remote Code Execution (RCE) if exploited.
It is possible to read the advisory at huntr.com. This vulnerability is known as CVE-2025-0185 since 01/03/2025. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/21/2025). The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (@huntr_ai): 🔍
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: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/03/2025 🔍03/20/2025 🔍
03/20/2025 🔍
03/21/2025 🔍
Sources
Advisory: huntr.comStatus: Not defined
CVE: CVE-2025-0185 (🔍)
GCVE (CVE): GCVE-0-2025-0185
GCVE (VulDB): GCVE-100-300355
Entry
Created: 03/20/2025 14:45Updated: 03/21/2025 03:44
Changes: 03/20/2025 14:45 (62), 03/21/2025 03:44 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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