Cybrosys Text Commander Module up to 16.0.1 models/ir_model.py IrModel::chech_model data sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Cybrosys Text Commander Module up to 16.0.1. It has been classified as critical. The affected element is the function IrModel::chech_model of the file models/ir_model.py. Performing a manipulation of the argument data results in sql injection.
This vulnerability is reported as CVE-2024-34534. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in Cybrosys Text Commander Module up to 16.0.1. It has been classified as critical. This affects the function IrModel::chech_model of the file models/ir_model.py. The manipulation of the argument data with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
A SQL injection vulnerability in Cybrosys Techno Solutions Text Commander module (aka text_commander) 16.0 through 16.0.1 allows a remote attacker to gain privileges via the data parameter to models/ir_model.py:IrModel::chech_model.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-34534 since 05/06/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 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.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / 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: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/06/2024 🔍05/06/2024 🔍
05/06/2024 🔍
05/06/2024 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2024-34534 (🔍)
GCVE (CVE): GCVE-0-2024-34534
GCVE (VulDB): GCVE-100-263247
Entry
Created: 05/06/2024 22:54Changes: 05/06/2024 22:54 (54)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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