Account impersonation via unchecked auto-login member ID
Published Feb 11, 2020 · Updated Aug 6, 2024
Improper authentication in ATutor 2.2 and earlier allows remote attackers to impersonate an existing user through confirm.php. An auto_login request accepts an attacker-supplied member_id and sets the application's authenticated session variables after only confirming that the account exists. Knowledge of a user ID is sufficient; the resulting session has that user's privileges, including administrative access when an administrator ID is selected.
Summary
What happened
Improper authentication in ATutor 2.2 and earlier allows remote attackers to impersonate an existing user through confirm.php. An auto_login request accepts an attacker-supplied member_id and sets the application's authenticated session variables after only confirming that the account exists. Knowledge of a user ID is sufficient; the resulting session has that user's privileges, including administrative access when an administrator ID is selected.
The record
- CVE
- CVE-2014-9753
- Published
- Feb 11, 2020
- Updated
- Aug 6, 2024
- Vendor
- Unknown vendor
- Product
- Unknown product
- Classifications
- CWE-287, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Feb 11, 2020CVE publishedPublication date reported by the CVE source.
- Aug 6, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
What conditions does exploitation require?
What is affected?
Affected products and versions are unavailable in this record.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Public exploit references
- ATutor confirm.php auto-login exploit descriptionproof of concept · unverified
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo