Kashipara College Management System 1.0 submit_enroll_student.php class_name cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.2 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Kashipara College Management System 1.0 and classified as problematic. The affected element is an unknown function of the file submit_enroll_student.php. Performing a manipulation of the argument class_name results in cross site scripting. This vulnerability was named CVE-2024-5371. The attack may be initiated remotely. In addition, an exploit is available.
Details
A vulnerability classified as problematic has been found in Kashipara College Management System 1.0. This affects an unknown part of the file submit_enroll_student.php. The manipulation of the argument class_name with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-5371. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
The exploit is shared for download at github.com. It is declared as proof-of-concept. By approaching the search of inurl:submit_enroll_student.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
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.2
VulDB Base Score: 3.5
VulDB Temp Score: 3.2
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: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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 |
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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
05/25/2024 🔍05/25/2024 🔍
03/28/2025 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2024-5371 (🔍)
GCVE (CVE): GCVE-0-2024-5371
GCVE (VulDB): GCVE-100-266283
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 05/25/2024 08:22Updated: 03/28/2025 03:38
Changes: 05/25/2024 08:22 (55), 03/28/2025 03:38 (4)
Complete: 🔍
Submitter: SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong
Cache ID: 216::103
Submit
Accepted
- Submit #343451: Kashipara College Management System ≤1.0 XSS injection (by SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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