Webkul Bundle Product 6.0.1 UpdateProductQuantity id_product sql 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 Webkul Bundle Product 6.0.1. This affects the function UpdateProductQuantity. This manipulation of the argument id_product causes sql injection.
This vulnerability is registered as CVE-2023-51210. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability classified as critical was found in Webkul Bundle Product 6.0.1. Affected by this vulnerability is the function UpdateProductQuantity. The manipulation of the argument id_product with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
SQL injection vulnerability in Webkul Bundle Product 6.0.1 allows a remote attacker to execute arbitrary code via the id_product parameters in the UpdateProductQuantity function.
The weakness was published 01/23/2024. It is possible to read the advisory at medium.com. This vulnerability is known as CVE-2023-51210 since 12/18/2023. 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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
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: 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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/18/2023 🔍01/23/2024 🔍
01/23/2024 🔍
06/09/2025 🔍
Sources
Advisory: medium.comStatus: Not defined
CVE: CVE-2023-51210 (🔍)
GCVE (CVE): GCVE-0-2023-51210
GCVE (VulDB): GCVE-100-251875
Entry
Created: 01/23/2024 20:41Updated: 06/09/2025 22:45
Changes: 01/23/2024 20:41 (39), 02/17/2024 11:28 (11), 06/09/2025 22:45 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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