| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in WP ERP Plugin up to 1.12.9 on WordPress. It has been rated as critical. Affected is an unknown function. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2024-0913. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in WP ERP Plugin up to 1.12.9 on WordPress. It has been rated as critical. This issue affects an unknown function. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
The WP ERP | Complete HR solution with recruitment & job listings | WooCommerce CRM & Accounting plugin for WordPress is vulnerable to time-based SQL Injection via the erp/v1/accounting/v1/transactions/sales REST API endpoint in all versions up to, and including, 1.13.0 due to insufficient escaping on the user supplied status and customer_id parameters and lack of sufficient preparation on the existing SQL query. This makes it possible for authenticated attackers, with accounting manager or admin privileges and higher to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
It is possible to read the advisory at wordfence.com. The identification of this vulnerability is CVE-2024-0913 since 01/25/2024. The exploitation is known to be easy. The attack may be initiated remotely. Additional levels of successful authentication are required for exploitation. The technical details are unknown and an exploit is not publicly available. 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
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.9
VulDB Base Score: 4.7
VulDB Temp Score: 4.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.2
CNA Vector (Wordfence): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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
01/25/2024 🔍03/28/2024 🔍
03/28/2024 🔍
04/14/2026 🔍
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2024-0913 (🔍)
GCVE (CVE): GCVE-0-2024-0913
GCVE (VulDB): GCVE-100-258587
Entry
Created: 03/28/2024 20:54Updated: 04/14/2026 06:28
Changes: 03/28/2024 20:54 (51), 05/07/2024 15:24 (1), 05/07/2024 15:30 (12), 01/30/2025 17:12 (2), 04/14/2026 06:28 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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