CVE-2019-25625 in Blob Studio
Summary
by MITRE • 03/23/2026
Blob Studio 2.17 contains a denial of service vulnerability that allows local attackers to crash the application by providing malformed input through the key entry mechanism. Attackers can create a text file with a large buffer of repeated characters and trigger the application to read it, causing the application to crash or become unresponsive.
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Analysis
by VulDB Data Team • 03/27/2026
The vulnerability identified as CVE-2019-25625 affects Blob Studio version 2.17 and represents a denial of service condition that can be exploited by local attackers through manipulation of the application's key entry mechanism. This flaw demonstrates a critical weakness in input validation and error handling within the software's processing pipeline. The vulnerability specifically manifests when the application encounters malformed input during the key entry process, where attackers can craft malicious text files containing large buffers of repeated characters to trigger the crash condition. The attack vector leverages the application's failure to properly sanitize and validate user-provided input before processing it through its internal parsing mechanisms.
The technical implementation of this vulnerability stems from inadequate bounds checking and memory management within Blob Studio's input handling subsystem. When the application attempts to read and process the crafted text file containing repeated character buffers, it fails to implement proper input length validation or memory allocation limits. This results in the application consuming excessive system resources or encountering buffer overflow conditions that ultimately lead to application termination or complete unresponsiveness. The vulnerability operates at the application level rather than at the system level, making it a local privilege escalation issue that requires physical or authenticated access to the target system. According to CWE classification, this represents a weakness in input validation and error handling, specifically categorized under CWE-129 Input Validation and 125 Out-of-bounds Read conditions.
The operational impact of CVE-2019-25625 extends beyond simple application disruption, as it can potentially compromise the availability of critical data management services within environments where Blob Studio is deployed. Local attackers who can execute this attack may cause service interruptions that affect database administration tasks, data migration operations, or backup processes that rely on the application's stability. The vulnerability's exploitation requires minimal technical skill and can be automated, making it particularly dangerous in environments where multiple users have access to the system. Organizations utilizing Blob Studio for database management may experience unplanned downtime, data processing delays, and potential loss of productivity. The attack can be executed without requiring network connectivity or external system compromise, making it a low-effort, high-impact threat for local adversaries.
Mitigation strategies for CVE-2019-25625 should focus on implementing robust input validation mechanisms and resource limit enforcement within Blob Studio's processing pipeline. System administrators should immediately update to the latest version of Blob Studio where this vulnerability has been patched, as the vendor has addressed the underlying input handling flaws. Additionally, implementing proper bounds checking and memory allocation limits can prevent the application from consuming excessive resources during input processing. Network segmentation and access controls should be enforced to limit local access to the application, reducing the attack surface for potential exploitation. The vulnerability aligns with ATT&CK technique T1499.004 for Network Denial of Service and T1059.001 for Command and Scripting Interpreter, as attackers can leverage the application's legitimate execution paths to cause disruption. Regular security audits and penetration testing should be conducted to identify similar input validation weaknesses in other applications within the system infrastructure.