CVE-2025-14642: Unrestricted Upload in code-projects Computer Laboratory System
A vulnerability has been found in code-projects Computer Laboratory System 1.0. Impacted is an unknown function of the file technical_staff_pic.php. Such manipulation of the argument image leads to unrestricted upload. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-14642 is a vulnerability identified in version 1.0 of the code-projects Computer Laboratory System, specifically within the technical_staff_pic.php file. The flaw arises from improper handling of the 'image' argument, which allows an attacker to perform unrestricted file uploads. This means that an attacker with authenticated high-level privileges can upload arbitrary files, potentially including malicious scripts or executables, to the server. The vulnerability does not require user interaction and can be exploited remotely, increasing its risk profile. However, exploitation requires the attacker to have high privileges (PR:H), limiting exposure to insiders or compromised accounts. The CVSS 4.0 base score is 5.1 (medium severity), reflecting moderate impact on confidentiality, integrity, and availability, with low complexity of attack and no user interaction needed. No patches or fixes have been publicly released yet, and no known exploits are currently active in the wild. The vulnerability could lead to unauthorized code execution, data manipulation, or denial of service if exploited. The lack of server-side validation and file type restrictions in the upload functionality is the root cause. Organizations using this system should prioritize remediation to prevent potential compromise.
Potential Impact
For European organizations, particularly educational institutions, research labs, and universities using the code-projects Computer Laboratory System, this vulnerability poses a risk of unauthorized file uploads that could lead to remote code execution or data breaches. Attackers with high-level access could upload malicious payloads, potentially compromising sensitive academic data, staff information, or disrupting laboratory operations. The impact includes partial loss of confidentiality, integrity, and availability of systems. Given the nature of the affected software, disruption could affect teaching, research activities, and administrative functions. The medium severity and requirement for elevated privileges reduce the likelihood of widespread exploitation but do not eliminate insider threats or risks from compromised credentials. The public disclosure of the vulnerability increases the urgency for mitigation to prevent opportunistic attacks.
Mitigation Recommendations
1. Implement strict server-side validation for all uploaded files, including verifying file type, size, and content to ensure only legitimate images are accepted. 2. Restrict upload permissions to the minimum necessary roles and enforce strong authentication and authorization controls to limit high privilege access. 3. Employ file integrity monitoring and scanning tools to detect and block malicious uploads. 4. Isolate the upload directory from executable permissions to prevent execution of uploaded scripts. 5. Monitor logs for unusual upload activity or access patterns indicative of exploitation attempts. 6. If possible, update or patch the software once a vendor fix is available. 7. Consider deploying web application firewalls (WAF) with custom rules to detect and block suspicious upload requests. 8. Educate administrators and users about the risks of privilege misuse and enforce strong credential hygiene. 9. Conduct regular security assessments and penetration testing focused on file upload functionalities. 10. As a temporary measure, disable or restrict the affected upload feature if it is not critical to operations.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands
CVE-2025-14642: Unrestricted Upload in code-projects Computer Laboratory System
Description
A vulnerability has been found in code-projects Computer Laboratory System 1.0. Impacted is an unknown function of the file technical_staff_pic.php. Such manipulation of the argument image leads to unrestricted upload. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-14642 is a vulnerability identified in version 1.0 of the code-projects Computer Laboratory System, specifically within the technical_staff_pic.php file. The flaw arises from improper handling of the 'image' argument, which allows an attacker to perform unrestricted file uploads. This means that an attacker with authenticated high-level privileges can upload arbitrary files, potentially including malicious scripts or executables, to the server. The vulnerability does not require user interaction and can be exploited remotely, increasing its risk profile. However, exploitation requires the attacker to have high privileges (PR:H), limiting exposure to insiders or compromised accounts. The CVSS 4.0 base score is 5.1 (medium severity), reflecting moderate impact on confidentiality, integrity, and availability, with low complexity of attack and no user interaction needed. No patches or fixes have been publicly released yet, and no known exploits are currently active in the wild. The vulnerability could lead to unauthorized code execution, data manipulation, or denial of service if exploited. The lack of server-side validation and file type restrictions in the upload functionality is the root cause. Organizations using this system should prioritize remediation to prevent potential compromise.
Potential Impact
For European organizations, particularly educational institutions, research labs, and universities using the code-projects Computer Laboratory System, this vulnerability poses a risk of unauthorized file uploads that could lead to remote code execution or data breaches. Attackers with high-level access could upload malicious payloads, potentially compromising sensitive academic data, staff information, or disrupting laboratory operations. The impact includes partial loss of confidentiality, integrity, and availability of systems. Given the nature of the affected software, disruption could affect teaching, research activities, and administrative functions. The medium severity and requirement for elevated privileges reduce the likelihood of widespread exploitation but do not eliminate insider threats or risks from compromised credentials. The public disclosure of the vulnerability increases the urgency for mitigation to prevent opportunistic attacks.
Mitigation Recommendations
1. Implement strict server-side validation for all uploaded files, including verifying file type, size, and content to ensure only legitimate images are accepted. 2. Restrict upload permissions to the minimum necessary roles and enforce strong authentication and authorization controls to limit high privilege access. 3. Employ file integrity monitoring and scanning tools to detect and block malicious uploads. 4. Isolate the upload directory from executable permissions to prevent execution of uploaded scripts. 5. Monitor logs for unusual upload activity or access patterns indicative of exploitation attempts. 6. If possible, update or patch the software once a vendor fix is available. 7. Consider deploying web application firewalls (WAF) with custom rules to detect and block suspicious upload requests. 8. Educate administrators and users about the risks of privilege misuse and enforce strong credential hygiene. 9. Conduct regular security assessments and penetration testing focused on file upload functionalities. 10. As a temporary measure, disable or restrict the affected upload feature if it is not critical to operations.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-12-13T08:36:36.181Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 693e27da94fb7962732e5068
Added to database: 12/14/2025, 2:58:34 AM
Last enriched: 12/21/2025, 4:50:43 AM
Last updated: 2/4/2026, 10:00:00 PM
Views: 80
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.
Related Threats
CVE-2026-25538: CWE-862: Missing Authorization in devtron-labs devtron
HighCVE-2026-25537: CWE-843: Access of Resource Using Incompatible Type ('Type Confusion') in Keats jsonwebtoken
MediumCVE-2026-25536: CWE-362: Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition') in modelcontextprotocol typescript-sdk
HighCVE-2026-25526: CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine in HubSpot jinjava
CriticalCVE-2026-1884: Server-Side Request Forgery in ZenTao
MediumActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.