Kashipara E-Learning Management System Project 1.0 edit_department.php d sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in Kashipara E-Learning Management System Project 1.0. Affected by this vulnerability is an unknown functionality of the file /admin/edit_department.php. The manipulation of the argument d leads to sql injection. This vulnerability is listed as CVE-2024-50828. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability was found in Kashipara E-Learning Management System Project 1.0 and classified as critical. This issue affects an unknown code of the file /admin/edit_department.php. The manipulation of the argument d 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:
A SQL Injection vulnerability was found in /admin/edit_department.php in kashipara E-learning Management System Project 1.0 via the d parameter.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2024-50828 since 10/28/2024. The exploitation is known to be easy. The attack may be initiated 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 11/14/2024). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
By approaching the search of inurl:admin/edit_department.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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/28/2024 🔍11/14/2024 🔍
11/14/2024 🔍
11/14/2024 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2024-50828 (🔍)
GCVE (CVE): GCVE-0-2024-50828
GCVE (VulDB): GCVE-100-284603
Entry
Created: 11/14/2024 20:25Changes: 11/14/2024 20:25 (55)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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