CVE-2026-50755 in next-ai-draw-io
Summary
by MITRE • 07/21/2026
An issue in DayuanJiang next-ai-draw-io 0.4.13 allows a remote attacker to obtain sensitive information via the X-Forwarded-For header value
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Analysis
by VulDB Data Team • 07/21/2026
The vulnerability present in DayuanJiang next-ai-draw-io version 0.4.13 represents a critical information disclosure flaw that arises from improper handling of the X-Forwarded-For HTTP header. This weakness allows remote attackers to extract sensitive data through manipulation of the forwarded-for header value, which typically contains client IP address information and other potentially revealing metadata. The issue stems from insufficient input validation and sanitization mechanisms within the application's request processing pipeline where the X-Forwarded-For header is directly incorporated into response content or logging mechanisms without proper security controls.
This vulnerability falls under the category of CWE-200 - Information Exposure, which encompasses various scenarios where sensitive information may be inadvertently exposed to unauthorized parties. The technical implementation flaw occurs when the application fails to properly validate or sanitize the X-Forwarded-For header before using its contents in sensitive contexts such as error messages, debug output, or access logs. When an attacker crafts a malicious X-Forwarded-For header value and submits it to the vulnerable endpoint, the system processes this input without adequate filtering, potentially exposing internal network information, authentication tokens, session identifiers, or other confidential data that should remain protected from external access.
The operational impact of this vulnerability extends beyond simple information disclosure as it creates opportunities for further exploitation within the attack chain. According to ATT&CK framework category T1083 - File and Directory Discovery, an attacker could leverage this information exposure to gather intelligence about internal network topology, identify potential targets for additional attacks, or map out system architecture. The vulnerability enables adversaries to perform reconnaissance activities without direct system compromise, making it particularly dangerous in environments where network segmentation is expected but not properly enforced. Additionally, the exposure of sensitive headers may provide attackers with insights into the underlying infrastructure stack and potentially reveal version information that could be used for targeted exploitation against known vulnerabilities.
Mitigation strategies should focus on implementing robust input validation and sanitization measures specifically targeting HTTP headers including X-Forwarded-For. Organizations should configure their applications to either reject or properly sanitize header values before incorporating them into response content, error messages, or logging mechanisms. The implementation of proper header parsing and validation routines can prevent the leakage of sensitive information while maintaining legitimate functionality. Security controls should include input validation that strips or encodes potentially malicious content from headers, implementation of strict header whitelisting policies, and comprehensive logging practices that do not expose internal system details. Additionally, network-level protections such as web application firewalls and proper ingress/egress filtering can help detect and prevent exploitation attempts targeting this specific vulnerability pattern. Regular security assessments and code reviews should specifically target header processing mechanisms to identify similar information disclosure risks across the application stack. The vulnerability highlights the importance of following secure coding practices and implementing defense-in-depth strategies that protect against information leakage through multiple vectors within web applications.