CVE-2025-4038: Stack-based Buffer Overflow in code-projects Train Ticket Reservation System
A vulnerability was found in code-projects Train Ticket Reservation System 1.0. It has been declared as critical. Affected by this vulnerability is the function Reservation of the component Ticket Reservation. The manipulation of the argument Name leads to stack-based buffer overflow. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-4038 is a stack-based buffer overflow vulnerability identified in version 1.0 of the code-projects Train Ticket Reservation System, specifically within the Reservation function of the Ticket Reservation component. The vulnerability arises from improper handling of the 'Name' argument, which can be manipulated to overflow the stack buffer. This type of vulnerability can lead to arbitrary code execution, memory corruption, or application crashes. However, exploitation requires local access with at least low privileges (PR:L), and no user interaction is necessary (UI:N). The vulnerability does not require elevated privileges beyond local access, and the attack complexity is low (AC:L). The CVSS 4.0 base score is 4.8, indicating a medium severity level, reflecting limited impact due to the local attack vector and the requirement for local privileges. There is no indication of known exploits in the wild at this time, but the exploit details have been publicly disclosed, increasing the risk of potential exploitation. The vulnerability affects only version 1.0 of the product, and no patches or mitigations have been officially released yet. The absence of network attack vector limits remote exploitation, but insider threats or compromised local accounts could leverage this vulnerability to escalate privileges or disrupt system availability.
Potential Impact
For European organizations using the code-projects Train Ticket Reservation System version 1.0, this vulnerability poses a risk primarily to the integrity and availability of the ticket reservation service. Successful exploitation could allow an attacker with local access to execute arbitrary code or cause denial of service, potentially disrupting ticketing operations. This could lead to operational downtime, loss of customer trust, and financial losses, especially for transportation companies or agencies relying on this system for daily operations. Confidentiality impact is limited since the vulnerability targets stack memory corruption rather than direct data exposure. However, if exploited, it could be leveraged as a foothold for further attacks within the internal network. The requirement for local access reduces the risk from external attackers but raises concerns about insider threats or attackers who have gained initial access through other means. Given the critical nature of transportation infrastructure in Europe, any disruption could have cascading effects on mobility and logistics.
Mitigation Recommendations
1. Immediate mitigation should focus on restricting local access to systems running the affected Train Ticket Reservation System version 1.0. Implement strict access controls and monitoring to detect unauthorized local logins. 2. Employ application whitelisting and behavior monitoring to detect anomalous activities indicative of exploitation attempts. 3. If possible, isolate the affected system within a segmented network zone to limit lateral movement in case of compromise. 4. Conduct thorough audits of user accounts and privileges on affected systems to minimize the number of users with local access. 5. Since no official patch is currently available, consider deploying runtime protections such as stack canaries, DEP (Data Execution Prevention), and ASLR (Address Space Layout Randomization) if supported by the host OS to mitigate exploitation impact. 6. Engage with the vendor or community to obtain or develop patches or updated versions that address the buffer overflow. 7. Educate internal staff about the risks of local exploitation and enforce policies to prevent unauthorized software installation or execution. 8. Monitor public vulnerability and exploit databases for updates or emerging exploits to respond rapidly.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Poland, Sweden, Austria
CVE-2025-4038: Stack-based Buffer Overflow in code-projects Train Ticket Reservation System
Description
A vulnerability was found in code-projects Train Ticket Reservation System 1.0. It has been declared as critical. Affected by this vulnerability is the function Reservation of the component Ticket Reservation. The manipulation of the argument Name leads to stack-based buffer overflow. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-4038 is a stack-based buffer overflow vulnerability identified in version 1.0 of the code-projects Train Ticket Reservation System, specifically within the Reservation function of the Ticket Reservation component. The vulnerability arises from improper handling of the 'Name' argument, which can be manipulated to overflow the stack buffer. This type of vulnerability can lead to arbitrary code execution, memory corruption, or application crashes. However, exploitation requires local access with at least low privileges (PR:L), and no user interaction is necessary (UI:N). The vulnerability does not require elevated privileges beyond local access, and the attack complexity is low (AC:L). The CVSS 4.0 base score is 4.8, indicating a medium severity level, reflecting limited impact due to the local attack vector and the requirement for local privileges. There is no indication of known exploits in the wild at this time, but the exploit details have been publicly disclosed, increasing the risk of potential exploitation. The vulnerability affects only version 1.0 of the product, and no patches or mitigations have been officially released yet. The absence of network attack vector limits remote exploitation, but insider threats or compromised local accounts could leverage this vulnerability to escalate privileges or disrupt system availability.
Potential Impact
For European organizations using the code-projects Train Ticket Reservation System version 1.0, this vulnerability poses a risk primarily to the integrity and availability of the ticket reservation service. Successful exploitation could allow an attacker with local access to execute arbitrary code or cause denial of service, potentially disrupting ticketing operations. This could lead to operational downtime, loss of customer trust, and financial losses, especially for transportation companies or agencies relying on this system for daily operations. Confidentiality impact is limited since the vulnerability targets stack memory corruption rather than direct data exposure. However, if exploited, it could be leveraged as a foothold for further attacks within the internal network. The requirement for local access reduces the risk from external attackers but raises concerns about insider threats or attackers who have gained initial access through other means. Given the critical nature of transportation infrastructure in Europe, any disruption could have cascading effects on mobility and logistics.
Mitigation Recommendations
1. Immediate mitigation should focus on restricting local access to systems running the affected Train Ticket Reservation System version 1.0. Implement strict access controls and monitoring to detect unauthorized local logins. 2. Employ application whitelisting and behavior monitoring to detect anomalous activities indicative of exploitation attempts. 3. If possible, isolate the affected system within a segmented network zone to limit lateral movement in case of compromise. 4. Conduct thorough audits of user accounts and privileges on affected systems to minimize the number of users with local access. 5. Since no official patch is currently available, consider deploying runtime protections such as stack canaries, DEP (Data Execution Prevention), and ASLR (Address Space Layout Randomization) if supported by the host OS to mitigate exploitation impact. 6. Engage with the vendor or community to obtain or develop patches or updated versions that address the buffer overflow. 7. Educate internal staff about the risks of local exploitation and enforce policies to prevent unauthorized software installation or execution. 8. Monitor public vulnerability and exploit databases for updates or emerging exploits to respond rapidly.
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-04-28T06:53:09.627Z
- Cisa Enriched
- true
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 682d983dc4522896dcbef2e3
Added to database: 5/21/2025, 9:09:17 AM
Last enriched: 6/24/2025, 10:20:02 PM
Last updated: 7/26/2025, 2:37:21 PM
Views: 13
Related Threats
CVE-2025-3892: CWE-250: Execution with Unnecessary Privileges in Axis Communications AB AXIS OS
MediumCVE-2025-30027: CWE-1287: Improper Validation of Specified Type of Input in Axis Communications AB AXIS OS
MediumCVE-2025-7622: CWE-918: Server-Side Request Forgery (SSRF) in Axis Communications AB AXIS Camera Station Pro
MediumCVE-2025-8314: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in emarket-design Project Management, Bug and Issue Tracking Plugin – Software Issue Manager
MediumCVE-2025-8059: CWE-862 Missing Authorization in bplugins B Blocks – The ultimate block collection
CriticalActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.