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CVE Vulnerability Database
Vulnerability Database/CVE-2025-10971

CVE-2025-10971: MeetMe Information Disclosure Flaw

CVE-2025-10971 is an information disclosure vulnerability in MeetMe app for iOS and Android that allows retrieval of embedded sensitive data. This post covers technical details, affected versions through 2.2.5, and mitigation.

Updated: January 22, 2026

CVE-2025-10971 Overview

CVE-2025-10971 is a high-severity Insecure Storage of Sensitive Information vulnerability (CWE-922) affecting the MeetMe application on iOS and Android platforms. This vulnerability allows attackers to retrieve embedded sensitive data from insecure storage locations within the mobile application.

The vulnerability carries a CVSS 4.0 score of 8.8 (HIGH), indicating significant potential impact. The attack vector is local, requiring the attacker to have access to the device, though the attack complexity is high with passive attack technique requirements. Successful exploitation can result in high confidentiality and integrity impacts on both the vulnerable system and subsequent systems.

Critical Impact

Local attackers can extract sensitive user data stored insecurely within the MeetMe mobile application, potentially compromising user credentials, personal information, and session tokens stored on iOS and Android devices.

Affected Products

  • MeetMe for iOS through version v2.2.5
  • MeetMe for Android through version v2.2.5

Discovery Timeline

  • 2025-12-02 - CVE-2025-10971 published to NVD
  • 2025-12-02 - Last updated in NVD database

Technical Details for CVE-2025-10971

Vulnerability Analysis

This vulnerability falls under CWE-922 (Insecure Storage of Sensitive Information), a common mobile application security weakness where sensitive data is stored without adequate protection mechanisms. In the context of MeetMe, the application stores sensitive user information in locations or formats that can be accessed by other applications or through device access.

The CVSS 4.0 vector (CVSS:4.0/AV:L/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:L/SC:H/SI:H/SA:L) indicates:

  • Attack Vector (AV:L): Local access to the device is required
  • Attack Complexity (AC:H): High complexity conditions must be met
  • Attack Technique (AT:P): Passive attack technique
  • Privileges Required (PR:N): No special privileges needed once device access is obtained
  • User Interaction (UI:N): No user interaction required
  • Confidentiality Impact: High impact on both vulnerable and subsequent systems
  • Integrity Impact: High impact on both vulnerable and subsequent systems

The EPSS (Exploit Prediction Scoring System) data shows a probability of 0.019% with a percentile of 4.106 as of 2025-12-16, indicating relatively low current exploitation activity.

Root Cause

The root cause of this vulnerability lies in the improper handling of sensitive data storage within the MeetMe mobile application. Mobile applications commonly store authentication tokens, user credentials, personal data, and session information locally for performance and offline functionality. When this data is stored in plaintext, weakly encrypted, or in world-readable storage locations, it becomes vulnerable to extraction.

Common insecure storage practices that may contribute to this vulnerability include:

  • Storing sensitive data in shared preferences or NSUserDefaults without encryption
  • Using application sandbox storage without proper encryption
  • Embedding sensitive data within the application binary or configuration files
  • Utilizing predictable storage paths accessible via file system access

Attack Vector

An attacker with local access to a device running the vulnerable MeetMe application can exploit this vulnerability to extract embedded sensitive data. The attack scenario typically involves:

  1. Device Access: The attacker gains physical or logical access to the target device (through theft, shared device scenarios, malware, or backup extraction)
  2. Storage Enumeration: The attacker navigates to the application's data storage locations on the file system
  3. Data Extraction: Sensitive information stored insecurely is read and extracted
  4. Credential Abuse: Extracted credentials or tokens are used to impersonate the victim or access their account

On Android devices, this may involve accessing the /data/data/ directory for the application or extracting data from device backups. On iOS devices, attackers may target the application's Documents, Library, or Keychain (if improperly configured) directories through jailbroken devices or backup analysis.

Detection Methods for CVE-2025-10971

Indicators of Compromise

  • Unauthorized access to MeetMe user accounts from unusual locations or devices
  • Evidence of file system access to MeetMe application data directories
  • Backup extraction activities on managed devices
  • Unexpected application data access patterns in mobile device management (MDM) logs
  • Account takeover incidents following device loss or theft

Detection Strategies

Organizations should implement the following detection strategies:

Mobile Device Monitoring:

  • Deploy mobile threat defense (MTD) solutions to detect unauthorized file system access
  • Monitor for signs of device compromise such as jailbreaking or rooting
  • Implement anomaly detection for application behavior on managed devices

Account Security Monitoring:

  • Enable login notifications and monitor for suspicious authentication patterns
  • Implement device fingerprinting to detect logins from new or unexpected devices
  • Monitor API access patterns for signs of credential abuse

SentinelOne Mobile Protection:
SentinelOne's mobile threat defense capabilities can detect and respond to:

  • Device-level threats including jailbreak/root detection
  • Malicious application behavior attempting to access sensitive data
  • Network-based attacks targeting mobile communications
  • Behavioral anomalies indicating potential data exfiltration

Monitoring Recommendations

Security teams should establish continuous monitoring protocols:

  1. Device Health Monitoring: Regularly assess device integrity status through MDM or MTD solutions
  2. User Behavior Analytics: Implement UEBA to identify anomalous account access patterns
  3. Incident Response Readiness: Prepare playbooks for responding to potential credential theft scenarios
  4. Backup Security: Monitor and control device backup processes to prevent data extraction through backup analysis

How to Mitigate CVE-2025-10971

Immediate Actions Required

  • Update MeetMe application to the latest available version beyond v2.2.5 when a patch is released
  • Review and revoke active sessions for MeetMe accounts on potentially compromised devices
  • Enable two-factor authentication (2FA) on MeetMe accounts where available
  • Implement mobile device management (MDM) policies to enforce application updates
  • Consider temporary removal of the vulnerable application from managed device fleets until patched

Patch Information

As of the last NVD update on 2025-12-02, users should monitor the vendor's security advisories for patch availability. The vendor Fermax has published security information at: https://www.fermax.com/security-advisories

Organizations should:

  • Subscribe to vendor security notifications
  • Test patches in a controlled environment before deployment
  • Prioritize patch deployment for devices with sensitive data access

Workarounds

Until an official patch is available, consider the following risk mitigation measures:

For End Users:

  • Avoid using MeetMe on shared or untrusted devices
  • Enable device encryption on iOS and Android devices
  • Use strong device lock mechanisms (biometric or complex PIN)
  • Regularly review account activity for unauthorized access
  • Consider using MeetMe only through web browser until mobile app is patched

For Organizations:

  • Implement application allow/block lists via MDM to control MeetMe deployment
  • Enforce device encryption policies across the mobile fleet
  • Deploy mobile threat defense solutions to detect device compromise
  • Implement network-level controls to monitor MeetMe traffic patterns
  • Establish clear BYOD policies addressing vulnerable application usage

For Developers (General Guidance):

  • Store sensitive data using platform-specific secure storage (Android Keystore, iOS Keychain)
  • Implement encryption-at-rest for all sensitive local data
  • Avoid storing credentials or tokens in shared preferences, NSUserDefaults, or SQLite databases without encryption
  • Conduct regular mobile application security assessments

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechMeetme

  • SeverityHIGH

  • CVSS Score8.8

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:L/SC:H/SI:H/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-922
  • Technical References
  • Fermax
  • Latest CVEs
  • CVE-2025-49454: TinySalt Path Traversal Vulnerability

  • CVE-2025-48261: MultiVendorX Information Disclosure Flaw

  • CVE-2025-32119: CardGate WooCommerce SQL Injection Flaw

  • CVE-2025-26879: s2Member Plugin Reflected XSS Vulnerability
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