projectworlds Life Insurance Management System 1.0 /deleteNominee.php nominee_id sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in projectworlds Life Insurance Management System 1.0 and classified as critical. This issue affects some unknown processing of the file /deleteNominee.php. This manipulation of the argument nominee_id causes sql injection. The identification of this vulnerability is CVE-2025-2063. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability classified as critical was found in projectworlds Life Insurance Management System 1.0. Affected by this vulnerability is an unknown part of the file /deleteNominee.php. The manipulation of the argument nominee_id 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.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-2063. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. By approaching the search of inurl:deleteNominee.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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
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: 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
03/06/2025 🔍03/06/2025 🔍
05/15/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2025-2063 (🔍)
GCVE (CVE): GCVE-0-2025-2063
GCVE (VulDB): GCVE-100-298819
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/06/2025 17:06Updated: 05/15/2025 04:28
Changes: 03/06/2025 17:06 (56), 05/15/2025 04:28 (41)
Complete: 🔍
Submitter: lql120
Cache ID: 216::103
Submit
Accepted
- Submit #514749: Projectworlds Life Insurance Management System in PHP v1.0 SQL Injection (by lql120)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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