CVE-2019-25339: GHIA CamIP iOS DoS Vulnerability

CVE-2019-25339 Overview

CVE-2019-25339 is a denial of service vulnerability affecting GHIA CamIP 1.2 for iOS. The vulnerability exists in the password input field handling mechanism, which fails to properly validate user input length. When an attacker pastes a 33-character buffer of repeated characters into the password field, the application crashes, resulting in a denial of service condition on the affected iOS device.

Critical Impact

This vulnerability allows attackers to crash the GHIA CamIP application through malicious input, potentially disrupting surveillance and monitoring capabilities for users relying on this IP camera control application.

Affected Products

• GHIA CamIP 1.2 for iOS

Discovery Timeline

• 2026-02-12 - CVE CVE-2019-25339 published to NVD
• 2026-02-12 - Last updated in NVD database

Technical Details for CVE-2019-25339

Vulnerability Analysis

This vulnerability is classified under CWE-121 (Stack-based Buffer Overflow). The GHIA CamIP application for iOS contains improper input validation in its password field handler. The application fails to enforce proper boundary checks when processing user-supplied password input, leading to a stack-based buffer overflow condition when excessive input is provided.

The attack requires local access to the device and user interaction to trigger the vulnerability. When exploited, the impact is limited to application availability—the application crashes but does not expose or modify data. The vulnerability can be exploited without any special privileges, though it does require an active user session with the application.

Root Cause

The root cause of this vulnerability is insufficient input validation and improper buffer size management in the password field processing logic. The application allocates a fixed-size buffer for password input but fails to verify that user-provided data does not exceed the buffer's capacity. When a 33-character input is pasted into the field, it overflows the allocated stack buffer, corrupting memory and causing the application to crash.

Attack Vector

The attack vector is local, requiring physical or UI access to an iOS device with the GHIA CamIP application installed. An attacker must navigate to the password input field and paste a specifically crafted 33-character string consisting of repeated characters. This triggers the buffer overflow condition, causing immediate application termination.

The exploitation is straightforward—no authentication bypass or complex payload delivery is required. The attacker simply needs to input a malformed string that exceeds the expected buffer size. According to Exploit-DB #47721, the proof-of-concept involves pasting repeated characters into the password field to trigger the crash.

Detection Methods for CVE-2019-25339

Indicators of Compromise

• Unexpected or repeated crashes of the GHIA CamIP application
• iOS crash logs showing stack overflow or buffer overrun errors related to the GHIA CamIP process
• Evidence of clipboard operations containing long character strings preceding application crashes

Detection Strategies

• Monitor iOS system logs for GHIA CamIP application crash events
• Implement mobile device management (MDM) solutions to track application stability metrics
• Review crash analytics data for patterns indicating deliberate exploitation attempts

Monitoring Recommendations

• Enable crash reporting for mobile applications in enterprise environments
• Configure alerting for repeated application crashes that may indicate exploitation attempts
• Track application availability metrics to identify denial of service patterns

How to Mitigate CVE-2019-25339

Immediate Actions Required

• Consider removing or disabling the GHIA CamIP application until a patched version is available
• Restrict access to devices running the vulnerable application in sensitive environments
• Educate users about the risks of pasting untrusted content into application input fields

Patch Information

No vendor patch information is currently available for this vulnerability. Users should monitor the Apple App Store listing for GHIA CamIP for application updates that may address this issue. Additional details can be found in the VulnCheck Advisory for Ghia-Camip.

Workarounds

• Use alternative IP camera management applications that do not contain this vulnerability
• Implement device-level access controls to prevent unauthorized users from interacting with the application
• Consider network-level controls to manage IP camera access without relying on the vulnerable mobile application