CVE Tools

CVE-2026-3302

SourceCodester Doctor Appointment System Sign Up register.php cross site scripting

Published: Feb 27, 2026Updated: Apr 29, 2026 Sources: CVE List NVDCWE-79

Description

A weakness has been identified in SourceCodester Doctor Appointment System 1.0. Affected by this issue is some unknown functionality of the file /register.php of the component Sign Up Page. Executing a manipulation of the argument Email can lead to cross site scripting. The attack can be launched remotely. The exploit has been made available to the public and could be used for attacks.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:RS:UC:NI:LA:N
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:RUser Interaction
Required
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:LIntegrity
Low
A:NAvailability
None

Weaknesses

Affected Products

Exploitability

1 exploit source identified

Exploit details including PoC links, Metasploit modules, and scanner templates are available after registration.

View exploit details

Attack Graph

Products CVE Techniques Tactics

Click technique nodes to view MITRE ATT&CK details. Scroll to zoom, drag to pan.

MITRE ATT&CK

3 techniques
Execution
Initial Access
View detailed technique mapping

References

and 2 more references View all →

Timeline

Published
Feb 27, 2026
Last Updated
Apr 29, 2026

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2026-3302 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows