code-projects Online Farm System 1.0 /forgot_pass.php email sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.23 |
Summary
A vulnerability was found in code-projects Online Farm System 1.0. It has been classified as critical. The impacted element is an unknown function of the file /forgot_pass.php. The manipulation of the argument email leads to sql injection. This vulnerability is documented as CVE-2025-8331. The attack can be initiated remotely. Additionally, an exploit exists.
Details
A vulnerability was found in code-projects Online Farm System 1.0 and classified as critical. This issue affects an unknown code block of the file /forgot_pass.php. The manipulation of the argument email 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 advisory is shared at github.com. The identification of this vulnerability is CVE-2025-8331. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. MITRE ATT&CK project uses the attack technique T1505 for this issue.
The exploit is available at github.com. It is declared as proof-of-concept. By approaching the search of inurl:forgot_pass.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.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://code-projects.org/
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: 8.1VulDB Meta Temp Score: 7.9
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔒
CNA Base Score: 7.3
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: 🔒
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
07/30/2025 Advisory disclosed07/30/2025 VulDB entry created
08/06/2025 VulDB entry last update
Sources
Vendor: code-projects.orgAdvisory: github.com
Status: Not defined
CVE: CVE-2025-8331 (🔒)
GCVE (CVE): GCVE-0-2025-8331
GCVE (VulDB): GCVE-100-318281
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 07/30/2025 10:17Updated: 08/06/2025 00:14
Changes: 07/30/2025 10:17 (56), 07/31/2025 06:15 (30), 08/06/2025 00:14 (12)
Complete: 🔍
Submitter: wllovemy
Cache ID: 216:224:103
Submit
Accepted
- Submit #624002: code-projects Online Farm System V1.0 SQL injection (by wllovemy)
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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