CVE-2026-11335

June 5, 2026, 4:04 p.m.

2.1
Low

Description

A flaw has been found in tittuvarghese CollegeManagementSystem 3e476335cfbfb9a049e09f474c7ec885f69a9df3/a38852979f7e27ae67b610dce5979500ef8ebe01. This impacts the function session_start of the file /login-form.php. Executing a manipulation of the argument UserAuthData can lead to session fixiation. The attack can be launched remotely. The exploit has been published and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The project was informed of the problem early through an issue report but has not responded yet.

Product(s) Impacted

Vendor Product Versions
Tittuvarghese
  • Collegemanagementsystem
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-384
Session Fixation
Authenticating a user, or otherwise establishing a new user session, without invalidating any existing session identifier gives an attacker the opportunity to steal authenticated sessions.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a tittuvarghese collegemanagementsystem / / / / / / / /

CVSS Score

2.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 5, 2026, 3:16 p.m.
Last Modified: June 5, 2026, 4:04 p.m.

Status : Deferred

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.