CVE-2026-107437 in GV-E-map Server
Summary
by MITRE • 10/12/2026
GV-E-Map Server V18.2.0A contains a plaintext database password embedded within an application component. The credential can be recovered through static analysis of the distributed binary and may also be exposed in process memory during runtime.
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Analysis
by VulDB Data Team • 10/12/2026
The vulnerability identified in GV-E-Map Server version 18.2.0A represents a critical failure in secure software development practices, specifically concerning the handling of sensitive authentication credentials. The core issue lies in the embedding of plaintext database passwords directly within an application component or binary artifact. This practice violates fundamental security principles regarding credential management and secrets storage. Instead of utilizing secure mechanisms such as environment variables, dedicated secret management services like HashiCorp Vault or AWS Secrets Manager, or encrypted configuration files with proper key protection, the developers have hardcoded sensitive information into the executable codebase. This approach creates a single point of failure where the compromise of any part of the application binary leads directly to the exposure of database access credentials.
From a technical perspective, this flaw facilitates both static and dynamic analysis attacks against the system. Through static analysis, an attacker can decompile or disassemble the distributed binary file to search for string literals that resemble password patterns. Modern reverse engineering tools make it trivial to extract these hardcoded strings without needing any interaction with the running application. Furthermore, during runtime, if the plaintext credentials are loaded into process memory and not properly cleared after use, they remain vulnerable to memory scraping attacks. Tools designed for forensic analysis or malicious exploitation can dump the process memory space of GV-E-Map Server to retrieve these passwords in clear text, bypassing any network-level security controls that might otherwise protect data in transit.
The operational impact of this vulnerability is severe and multifaceted. Since database credentials are exposed, an attacker who gains access to the application binary or can execute code on the host machine can authenticate directly to the underlying database. This effectively grants unauthorized administrative privileges over the entire dataset managed by GV-E-Map Server. The consequences include full data confidentiality loss, allowing for the exfiltration of sensitive geographic and mapping information stored in the system. Additionally, it enables data integrity violations where an attacker could modify or delete critical records, disrupting business operations. In many enterprise environments, database credentials are reused across multiple services due to poor credential hygiene; therefore, this breach may lead to a lateral movement scenario where the compromised database password is used to attack other systems within the network infrastructure.
This vulnerability aligns with CWE-798: Use of Hard-coded Credentials, which categorizes the use of static passwords or keys in source code as a high-severity defect. It also relates to CWE-312: Cleartext Storage of Sensitive Information, highlighting the failure to protect data at rest and potentially in memory. From an offensive security perspective, this flaw supports techniques described in MITRE ATT&CK under Tactic 10: Credential Access, specifically sub-techniques such as T1552.004 Unsecured Credentials which involves accessing unencrypted or cleartext credentials from local system files and processes. It also touches upon T1608.003 Install Rootkit if the attacker uses these privileges to maintain persistent access by modifying database configurations for backdoors.
To mitigate this vulnerability, immediate remediation steps must focus on removing all hardcoded plaintext passwords from the application codebase and binaries. Developers should refactor the authentication logic to retrieve credentials from secure configuration sources that are externalized from the binary artifact. Implementing a secrets management solution is recommended to handle rotation and access control of database keys dynamically at runtime. Additionally, memory protection techniques such as zeroizing sensitive buffers after use can reduce the risk associated with dynamic analysis attacks. For existing deployments where immediate code changes are not feasible, restricting network access to the application server and ensuring that only trusted processes can attach to or dump its memory space serves as a necessary compensating control until the root cause is addressed in future software updates.