1000 Projects Bookstore Management System 1.0 add_company.php delete sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.6 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in 1000 Projects Bookstore Management System 1.0. This issue affects some unknown processing of the file add_company.php. This manipulation of the argument delete causes sql injection. This vulnerability is tracked as CVE-2024-55496. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability has been found in 1000 Projects Bookstore Management System 1.0 and classified as critical. Affected by this vulnerability is some unknown functionality of the file add_company.php. The manipulation of the argument delete 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:
A vulnerability has been found in the 1000projects Bookstore Management System PHP MySQL Project 1.0. This issue affects some unknown functionality of add_company.php. Actions on the delete parameter result in SQL injection.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-55496 since 12/06/2024. 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 06/22/2025). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
By approaching the search of inurl:add_company.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2024-52778). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://1000projects.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.7VulDB Meta Temp Score: 7.6
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 9.1
CNA Vector (MITRE): 🔍
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
Google Hack: 🔍
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
12/06/2024 🔍12/17/2024 🔍
12/17/2024 🔍
06/22/2025 🔍
Sources
Vendor: 1000projects.orgAdvisory: github.com
Status: Not defined
CVE: CVE-2024-55496 (🔍)
GCVE (CVE): GCVE-0-2024-55496
GCVE (VulDB): GCVE-100-288787
EUVD: 🔍
Entry
Created: 12/17/2024 20:43Updated: 06/22/2025 21:50
Changes: 12/17/2024 20:43 (55), 12/21/2024 00:40 (12), 06/22/2025 21:50 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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