mathurvishal CloudClassroom-PHP-Project up to 5dadec098bfbbf3300d60c3494db3fb95b66e7be cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.38+ |
Summary
A vulnerability, which was classified as problematic, has been found in mathurvishal CloudClassroom-PHP-Project up to 5dadec098bfbbf3300d60c3494db3fb95b66e7be. This affects an unknown function. This manipulation causes cross-site request forgery. This vulnerability appears as CVE-2026-100873. The attack may be initiated remotely. In addition, an exploit is available. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability was found in mathurvishal CloudClassroom-PHP-Project up to 5dadec098bfbbf3300d60c3494db3fb95b66e7be. It has been declared as problematic. Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. The CWE definition for the vulnerability is CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. As an impact it is known to affect integrity.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-100873. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details are unknown but a public exploit is available.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.
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: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
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: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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
09/27/2026 Advisory disclosed09/27/2026 VulDB entry created
09/27/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-100873 (🔒)
GCVE (CVE): GCVE-0-2026-100873
GCVE (VulDB): GCVE-100-410803
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 09/27/2026 05:32Changes: 09/27/2026 05:32 (56)
Complete: 🔍
Submitter: vinniboy021
Cache ID: 216::103
Submit
Accepted
- Submit #915270: https://github.com/mathurvishal/CloudClassroom-PHP-Project CloudClassroom-PHP-Project 5dadec098bfbbf3300d60c3494db3fb95b66e7be Cross-Site Request Forgery (by vinniboy021)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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