SourceCodester/oretnom23 Stock Management System 1.0 Purchase Order Details Page view_po ID sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.5 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in SourceCodester/oretnom23 Stock Management System 1.0. This impacts an unknown function of the file /admin/?page=purchase_order/view_po of the component Purchase Order Details Page. Performing a manipulation of the argument ID results in sql injection. This vulnerability is identified as CVE-2025-4267. The attack can be initiated remotely. Additionally, an exploit exists.
Details
A vulnerability, which was classified as critical, was found in SourceCodester/oretnom23 Stock Management System 1.0. This affects an unknown functionality of the file /admin/?page=purchase_order/view_po of the component Purchase Order Details Page. The manipulation of the argument id 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.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-4267. The exploitability is told to be easy. It is possible to initiate the attack remotely. The exploitation needs additional levels of successful authentication. Technical details and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is shared for download at github.com. It is declared as proof-of-concept.
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
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.7VulDB Meta Temp Score: 4.5
VulDB Base Score: 4.7
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 4.7
CNA Vector: 🔒
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: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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
05/04/2025 Advisory disclosed05/04/2025 VulDB entry created
05/05/2025 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2025-4267 (🔒)
GCVE (CVE): GCVE-0-2025-4267
GCVE (VulDB): GCVE-100-307371
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 05/04/2025 20:22Updated: 05/05/2025 10:19
Changes: 05/04/2025 20:22 (56), 05/05/2025 10:19 (30)
Complete: 🔍
Submitter: Th3W0lf
Cache ID: 216::103
Submit
Accepted
- Submit #563231: SourceCodester Stock Management System (SMS-PHP by oretnom23) 1.0 SQL Injection (by Th3W0lf)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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