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CVE Vulnerability Database
Vulnerability Database/CVE-2025-4378

CVE-2025-4378: ATA-AOF Mobile Authentication Bypass Flaw

CVE-2025-4378 is an authentication bypass vulnerability in ATA-AOF Mobile Application caused by cleartext transmission and hard-coded credentials. This article covers technical details, affected versions, and mitigations.

Published: April 1, 2026

CVE-2025-4378 Overview

CVE-2025-4378 is a critical vulnerability affecting the Ataturk University ATA-AOF Mobile Application. The vulnerability combines two dangerous security weaknesses: cleartext transmission of sensitive information (CWE-319) and use of hard-coded credentials. These flaws enable attackers to perform authentication abuse and authentication bypass attacks against users of the mobile application.

The vulnerability allows network-based attackers to intercept sensitive authentication data transmitted in plaintext and leverage embedded hardcoded credentials to gain unauthorized access to user accounts and potentially the backend systems supporting the educational platform.

Critical Impact

This vulnerability enables complete authentication bypass through hardcoded credentials and exposes sensitive user data via unencrypted network communications, potentially compromising student and faculty accounts at Ataturk University's open education system.

Affected Products

  • ATA-AOF Mobile Application (versions before 20.06.2025)
  • Ataturk University Open Education Faculty Mobile Platform

Discovery Timeline

  • 2025-06-24 - CVE-2025-4378 published to NVD
  • 2025-06-26 - Last updated in NVD database

Technical Details for CVE-2025-4378

Vulnerability Analysis

This vulnerability combines two distinct but complementary security weaknesses that create a severe authentication compromise scenario. The cleartext transmission issue means that sensitive data including user credentials, session tokens, and personal information are sent over the network without encryption, making them vulnerable to interception by any attacker with network access.

The hardcoded credentials component is equally concerning. Embedded credentials within the mobile application binary can be extracted through reverse engineering, granting attackers persistent access that cannot be revoked by changing individual user passwords. This combination effectively allows attackers to bypass authentication controls entirely—either by capturing legitimate credentials in transit or by using the hardcoded credentials discovered in the application code.

The vulnerability has a changed scope impact, meaning a successful exploit against the mobile application could affect resources beyond its security context, potentially compromising backend university systems and user data across the platform.

Root Cause

The root cause of this vulnerability stems from fundamental security design failures in the ATA-AOF Mobile Application. The cleartext transmission issue indicates a failure to implement TLS/SSL encryption for API communications between the mobile client and backend servers. The hardcoded credentials issue represents a development practice violation where authentication secrets were embedded directly in the application source code rather than being retrieved securely at runtime or stored using platform-specific secure storage mechanisms.

These issues suggest insufficient security review during the application development lifecycle and a lack of secure coding practices enforcement.

Attack Vector

The attack vector is network-based and requires no privileges or user interaction. An attacker positioned on the same network as a victim (such as a campus Wi-Fi network, public hotspot, or through a man-in-the-middle position) can passively capture cleartext credentials as they are transmitted. Alternatively, an attacker can extract hardcoded credentials by downloading the application from the app store and performing static analysis or reverse engineering on the application binary.

The extracted or intercepted credentials can then be used to authenticate as legitimate users, access student records, modify academic data, or potentially pivot to other connected university systems.

Detection Methods for CVE-2025-4378

Indicators of Compromise

  • Unusual login patterns from IP addresses inconsistent with user's normal geographic location
  • Multiple simultaneous sessions for the same user account from different devices or locations
  • Network traffic analysis showing unencrypted HTTP communications containing authentication tokens
  • API access patterns that match known credential extraction tools or automation

Detection Strategies

  • Implement network traffic monitoring to detect cleartext transmission of sensitive authentication data over HTTP instead of HTTPS
  • Deploy behavioral analytics to identify authentication patterns consistent with credential abuse such as rapid account access from multiple locations
  • Monitor for application reverse engineering attempts by tracking suspicious download patterns or access to APK/IPA files from security research IP ranges
  • Enable server-side logging of authentication attempts with client fingerprinting to detect credential reuse attacks

Monitoring Recommendations

  • Configure network intrusion detection systems to alert on unencrypted authentication traffic to known ATA-AOF backend endpoints
  • Implement rate limiting and anomaly detection on authentication endpoints to identify brute force or credential stuffing attempts using extracted credentials
  • Establish baseline user behavior profiles and alert on deviations that may indicate account compromise

How to Mitigate CVE-2025-4378

Immediate Actions Required

  • Update the ATA-AOF Mobile Application to version 20.06.2025 or later immediately
  • Force logout of all active user sessions to invalidate any potentially compromised session tokens
  • Require all users to change their passwords as a precautionary measure
  • Audit recent authentication logs for signs of unauthorized access or credential abuse

Patch Information

Ataturk University has addressed this vulnerability in ATA-AOF Mobile Application version 20.06.2025 released on June 20, 2025. The update implements proper TLS encryption for all network communications and removes hardcoded credentials from the application codebase. Users should update their mobile applications through their respective app stores (Google Play Store or Apple App Store).

For additional details, refer to the USOM Security Advisory TR-25-0135.

Workarounds

  • Avoid using the ATA-AOF Mobile Application on untrusted networks such as public Wi-Fi until the application is updated
  • Use a VPN when accessing the application to add an encryption layer even if the application uses cleartext transmission
  • Access the ATA-AOF platform through the web interface with HTTPS instead of the mobile application if available
  • Monitor account activity for any unauthorized access and report suspicious activity to university IT security
bash
# Network monitoring configuration to detect cleartext authentication
# Add to network monitoring tool configuration
# Alert on unencrypted traffic to ATA-AOF backend services
tcpdump -i any -A 'tcp port 80 and host ata-aof.atauni.edu.tr' | grep -i "password\|token\|auth"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeAuth Bypass

  • Vendor/TechAtaturk University

  • SeverityCRITICAL

  • CVSS Score10.0

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:L
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-319
  • Technical References
  • USOM Security Advisory TR-25-0135
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