CVE-2025-2417: Akinsoft e-Mutabakat Auth Bypass Flaw

CVE-2025-2417 Overview

CVE-2025-2417 is an Improper Restriction of Excessive Authentication Attempts vulnerability (CWE-307) discovered in Akinsoft e-Mutabakat, a financial reconciliation software. This vulnerability allows attackers to perform unlimited authentication attempts against the application, enabling brute-force attacks that can lead to authentication bypass.

The flaw stems from the application's failure to implement adequate rate limiting or account lockout mechanisms on authentication endpoints. Attackers can systematically attempt credential combinations without being blocked or throttled, significantly increasing the likelihood of successful unauthorized access.

Critical Impact

Authentication bypass through unrestricted brute-force attempts can lead to unauthorized access to sensitive financial reconciliation data and potential compromise of business-critical systems.

Affected Products

• Akinsoft e-Mutabakat version 2.02.06

Discovery Timeline

• 2025-09-04 - CVE-2025-2417 published to NVD
• 2026-04-15 - Last updated in NVD database

Technical Details for CVE-2025-2417

Vulnerability Analysis

This vulnerability represents a fundamental security control failure in the authentication mechanism of Akinsoft e-Mutabakat. The application does not enforce restrictions on the number of authentication attempts that can be made within a given timeframe. Without these controls, malicious actors can conduct automated credential-guessing attacks with minimal friction.

The network-accessible nature of this vulnerability means that remote attackers can exploit it without requiring any prior authentication or user interaction. The potential impact includes unauthorized read access to sensitive financial data, limited ability to modify system data, and some degradation of system availability.

Root Cause

The root cause of CVE-2025-2417 is the absence of authentication attempt throttling mechanisms in the e-Mutabakat application. Specifically, the application lacks:

• Account lockout policies after failed login attempts
• Progressive delay mechanisms between authentication attempts
• CAPTCHA or challenge-response systems to distinguish automated attacks from legitimate users
• IP-based rate limiting on authentication endpoints

This omission allows attackers to systematically enumerate credentials without triggering any defensive responses from the application.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no prior authentication or privileges. An attacker can exploit this vulnerability by:

1. Identifying the authentication endpoint of the e-Mutabakat application
2. Deploying automated tools to perform rapid credential guessing attempts
3. Systematically testing common username/password combinations or leaked credential databases
4. Bypassing authentication once valid credentials are discovered through brute-force enumeration

The vulnerability is particularly dangerous because financial reconciliation software typically contains sensitive business data, making it an attractive target for attackers seeking to compromise organizational finances or conduct fraud.

Detection Methods for CVE-2025-2417

Indicators of Compromise

• Abnormally high volume of failed authentication attempts from single or multiple IP addresses
• Rapid succession of login attempts against the e-Mutabakat application
• Authentication attempts using common username patterns or dictionary-based passwords
• Successful login following numerous failed attempts from the same source

Detection Strategies

• Implement monitoring on authentication endpoints to detect unusual login attempt patterns
• Configure SIEM rules to alert on authentication anomalies such as multiple failed logins followed by success
• Deploy web application firewall (WAF) rules to detect and block automated brute-force tools
• Monitor network traffic for high-frequency requests to login endpoints

Monitoring Recommendations

• Enable verbose authentication logging in the e-Mutabakat application to capture source IPs and timestamps
• Establish baseline metrics for normal authentication behavior to identify deviations
• Integrate authentication logs with centralized security monitoring platforms
• Configure real-time alerts for authentication threshold breaches

How to Mitigate CVE-2025-2417

Immediate Actions Required

• Review and update authentication configurations in the e-Mutabakat application
• Implement network-level rate limiting on authentication endpoints using a reverse proxy or WAF
• Enable multi-factor authentication (MFA) if supported by the application
• Restrict access to the authentication endpoints to trusted IP ranges where possible
• Monitor authentication logs for signs of ongoing brute-force attempts

Patch Information

Organizations should refer to the USOM Security Notification TR-25-0207 for official patch guidance from the Turkish National Cyber Incident Response Center. Contact Akinsoft directly for updated versions of e-Mutabakat that address this authentication bypass vulnerability.

Workarounds

• Deploy a reverse proxy with rate limiting capabilities in front of the e-Mutabakat application
• Implement IP-based blocking for sources exceeding authentication attempt thresholds
• Use a web application firewall (WAF) to detect and block brute-force attack patterns
• Consider implementing CAPTCHA on login pages as an additional defense layer
• Restrict network access to the application using VPN or IP allowlisting