CVE-2024-31389: CWE-352 Cross-Site Request Forgery (CSRF) in Ertano MihanPanel
CVE-2024-31389 is a Cross-Site Request Forgery (CSRF) vulnerability affecting Ertano MihanPanel versions before 12. 7. This vulnerability allows an attacker to induce a user to perform unwanted actions on the web application where they are authenticated. The CVSS score is 5. 4, indicating a medium severity level. There is no official patch or remediation guidance currently available from the vendor. No known exploits are reported in the wild at this time.
AI Analysis
Technical Summary
This vulnerability in Ertano MihanPanel is classified as CWE-352, Cross-Site Request Forgery. It affects versions prior to 12.7, allowing attackers to trick authenticated users into submitting unauthorized requests. The CVSS 3.1 vector indicates the attack can be performed remotely without privileges, requires user interaction, and impacts integrity and availability with low attack complexity.
Potential Impact
Successful exploitation could lead to unauthorized actions being performed on behalf of an authenticated user, potentially impacting the integrity and availability of the affected system. Confidentiality is not impacted according to the CVSS vector.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider implementing standard CSRF mitigations such as verifying anti-CSRF tokens and enforcing same-site cookie attributes if possible.
CVE-2024-31389: CWE-352 Cross-Site Request Forgery (CSRF) in Ertano MihanPanel
Description
CVE-2024-31389 is a Cross-Site Request Forgery (CSRF) vulnerability affecting Ertano MihanPanel versions before 12. 7. This vulnerability allows an attacker to induce a user to perform unwanted actions on the web application where they are authenticated. The CVSS score is 5. 4, indicating a medium severity level. There is no official patch or remediation guidance currently available from the vendor. No known exploits are reported in the wild at this time.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in Ertano MihanPanel is classified as CWE-352, Cross-Site Request Forgery. It affects versions prior to 12.7, allowing attackers to trick authenticated users into submitting unauthorized requests. The CVSS 3.1 vector indicates the attack can be performed remotely without privileges, requires user interaction, and impacts integrity and availability with low attack complexity.
Potential Impact
Successful exploitation could lead to unauthorized actions being performed on behalf of an authenticated user, potentially impacting the integrity and availability of the affected system. Confidentiality is not impacted according to the CVSS vector.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider implementing standard CSRF mitigations such as verifying anti-CSRF tokens and enforcing same-site cookie attributes if possible.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2024-04-01T06:51:49.294Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69f16519cbff5d86104aa212
Added to database: 4/29/2026, 1:55:37 AM
Last enriched: 4/29/2026, 2:41:01 AM
Last updated: 4/29/2026, 6:38:05 AM
Views: 2
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.