CVE-2025-41086: CWE-639 Authorization Bypass Through User-Controlled Key in AMS Development Corp. GAMS
CVE-2025-41086 is a medium-severity vulnerability in AMS Development Corp. 's GAMS software licensing system. It involves an authorization bypass through a user-controlled key due to an insecure checksum algorithm used in license validation. Attackers can generate unlimited valid licenses without credentials or source code access, granting unrestricted use of GAMS's mathematical models and commercial solvers. The vulnerability requires no authentication or user interaction and can be exploited remotely. Although no known exploits are currently reported in the wild, the flaw poses significant risks to organizations relying on GAMS for critical mathematical and optimization tasks. European organizations using GAMS may face unauthorized usage and intellectual property theft. Mitigation requires AMS to update the licensing validation mechanism with a secure cryptographic approach and for users to monitor license usage closely. Countries with strong industrial, academic, and research sectors using GAMS are most likely affected.
AI Analysis
Technical Summary
CVE-2025-41086 is a vulnerability classified under CWE-639 (Authorization Bypass Through User-Controlled Key) affecting the licensing system of AMS Development Corp.'s GAMS software. GAMS is a high-level modeling system for mathematical optimization widely used in academia, industry, and research. The vulnerability arises because the license validator employs an insecure checksum algorithm to verify license keys. This checksum is predictable and reversible, allowing an attacker who understands the algorithm and license format to recalculate the checksum and generate valid license keys arbitrarily. Consequently, attackers can bypass all usage restrictions and gain full privileges to use GAMS's commercial solvers and mathematical models without valid credentials or access to the source code. The vulnerability requires no authentication or user interaction and can be exploited remotely, making it accessible to a wide range of threat actors. The CVSS 4.0 score is 6.9 (medium severity), reflecting the lack of direct impact on confidentiality or integrity but significant impact on availability and authorization controls. No patches or known exploits are currently available, indicating the need for proactive mitigation. The flaw undermines the licensing mechanism's integrity, potentially leading to widespread unauthorized use and loss of revenue for AMS and its customers.
Potential Impact
For European organizations, the impact of CVE-2025-41086 can be substantial, especially for those relying on GAMS for critical mathematical modeling, optimization, and decision-making processes in sectors such as manufacturing, logistics, finance, energy, and research institutions. Unauthorized license generation can lead to unlicensed software use, resulting in financial losses for both AMS and its customers due to license revenue leakage. Furthermore, unrestricted access to GAMS's solvers may enable attackers to manipulate or misuse mathematical models, potentially affecting the integrity of business-critical computations and research outcomes. This could indirectly impact operational decisions, regulatory compliance, and competitive advantage. Additionally, organizations may face legal and contractual risks if software usage terms are violated. The vulnerability's ease of exploitation and lack of authentication requirements increase the risk of widespread abuse, particularly in environments where license enforcement is critical. Although no direct data confidentiality breach is indicated, the loss of control over software usage can have significant operational and financial repercussions.
Mitigation Recommendations
1. AMS Development Corp. should urgently redesign the license validation mechanism to use strong cryptographic algorithms (e.g., HMAC with SHA-256) instead of insecure checksums, ensuring license keys cannot be forged or tampered with. 2. Implement digital signatures for license keys, enabling verification of authenticity and integrity without exposing sensitive algorithms. 3. Deploy license usage monitoring and anomaly detection systems to identify unusual license generation or usage patterns indicative of abuse. 4. Restrict license key generation and validation processes to trusted environments with multi-factor authentication and strict access controls. 5. Encourage customers to regularly audit their license usage and report discrepancies promptly. 6. Until a patch is available, organizations should consider limiting exposure by isolating GAMS installations, restricting network access, and enforcing strict endpoint security controls. 7. Engage with AMS support channels for updates and potential workarounds. 8. Educate users about the risks of unauthorized license generation and enforce policies to prevent sharing or misuse of license keys.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland, Italy, Spain, Belgium, Austria
CVE-2025-41086: CWE-639 Authorization Bypass Through User-Controlled Key in AMS Development Corp. GAMS
Description
CVE-2025-41086 is a medium-severity vulnerability in AMS Development Corp. 's GAMS software licensing system. It involves an authorization bypass through a user-controlled key due to an insecure checksum algorithm used in license validation. Attackers can generate unlimited valid licenses without credentials or source code access, granting unrestricted use of GAMS's mathematical models and commercial solvers. The vulnerability requires no authentication or user interaction and can be exploited remotely. Although no known exploits are currently reported in the wild, the flaw poses significant risks to organizations relying on GAMS for critical mathematical and optimization tasks. European organizations using GAMS may face unauthorized usage and intellectual property theft. Mitigation requires AMS to update the licensing validation mechanism with a secure cryptographic approach and for users to monitor license usage closely. Countries with strong industrial, academic, and research sectors using GAMS are most likely affected.
AI-Powered Analysis
Technical Analysis
CVE-2025-41086 is a vulnerability classified under CWE-639 (Authorization Bypass Through User-Controlled Key) affecting the licensing system of AMS Development Corp.'s GAMS software. GAMS is a high-level modeling system for mathematical optimization widely used in academia, industry, and research. The vulnerability arises because the license validator employs an insecure checksum algorithm to verify license keys. This checksum is predictable and reversible, allowing an attacker who understands the algorithm and license format to recalculate the checksum and generate valid license keys arbitrarily. Consequently, attackers can bypass all usage restrictions and gain full privileges to use GAMS's commercial solvers and mathematical models without valid credentials or access to the source code. The vulnerability requires no authentication or user interaction and can be exploited remotely, making it accessible to a wide range of threat actors. The CVSS 4.0 score is 6.9 (medium severity), reflecting the lack of direct impact on confidentiality or integrity but significant impact on availability and authorization controls. No patches or known exploits are currently available, indicating the need for proactive mitigation. The flaw undermines the licensing mechanism's integrity, potentially leading to widespread unauthorized use and loss of revenue for AMS and its customers.
Potential Impact
For European organizations, the impact of CVE-2025-41086 can be substantial, especially for those relying on GAMS for critical mathematical modeling, optimization, and decision-making processes in sectors such as manufacturing, logistics, finance, energy, and research institutions. Unauthorized license generation can lead to unlicensed software use, resulting in financial losses for both AMS and its customers due to license revenue leakage. Furthermore, unrestricted access to GAMS's solvers may enable attackers to manipulate or misuse mathematical models, potentially affecting the integrity of business-critical computations and research outcomes. This could indirectly impact operational decisions, regulatory compliance, and competitive advantage. Additionally, organizations may face legal and contractual risks if software usage terms are violated. The vulnerability's ease of exploitation and lack of authentication requirements increase the risk of widespread abuse, particularly in environments where license enforcement is critical. Although no direct data confidentiality breach is indicated, the loss of control over software usage can have significant operational and financial repercussions.
Mitigation Recommendations
1. AMS Development Corp. should urgently redesign the license validation mechanism to use strong cryptographic algorithms (e.g., HMAC with SHA-256) instead of insecure checksums, ensuring license keys cannot be forged or tampered with. 2. Implement digital signatures for license keys, enabling verification of authenticity and integrity without exposing sensitive algorithms. 3. Deploy license usage monitoring and anomaly detection systems to identify unusual license generation or usage patterns indicative of abuse. 4. Restrict license key generation and validation processes to trusted environments with multi-factor authentication and strict access controls. 5. Encourage customers to regularly audit their license usage and report discrepancies promptly. 6. Until a patch is available, organizations should consider limiting exposure by isolating GAMS installations, restricting network access, and enforcing strict endpoint security controls. 7. Engage with AMS support channels for updates and potential workarounds. 8. Educate users about the risks of unauthorized license generation and enforce policies to prevent sharing or misuse of license keys.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- INCIBE
- Date Reserved
- 2025-04-16T09:09:36.724Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 692eecf35ae7112264d1dd40
Added to database: 12/2/2025, 1:43:15 PM
Last enriched: 12/9/2025, 2:39:58 PM
Last updated: 1/16/2026, 10:14:05 PM
Views: 56
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-2026-21223: CWE-269: Improper Privilege Management in Microsoft Microsoft Edge (Chromium-based)
MediumCVE-2026-20960: CWE-285: Improper Authorization in Microsoft Microsoft Power Apps
HighCVE-2025-56451: n/a
MediumCVE-2026-23800: CWE-266 Incorrect Privilege Assignment in Modular DS
CriticalCVE-2026-23744: CWE-306: Missing Authentication for Critical Function in MCPJam inspector
CriticalActions
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.