CVE-2026-62184 in luci
Summary
by MITRE • 07/14/2026
luci-app-banip contains a log parsing vulnerability where the awk-based parser extracts the first IPv4 address from log lines regardless of field position, allowing attackers to inject arbitrary IPs via attacker-controlled fields like usernames. An unauthenticated remote attacker can inject an IP address into the login username field, causing banIP to block the wrong target while the real attacker remains unblocked.
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Analysis
by VulDB Data Team • 07/14/2026
The luci-app-banip vulnerability represents a critical log parsing flaw that undermines network security controls through improper input validation and field extraction methodologies. This vulnerability exists within the application's awk-based parsing logic which systematically extracts the first IPv4 address encountered in log lines without considering field position or context. The implementation fails to properly validate or sanitize log data, creating an injection vector where malicious actors can manipulate the parsing process by controlling fields such as usernames in authentication logs. The flaw directly violates security principles of input sanitization and proper data validation as outlined in CWE-20 and CWE-77. This weakness enables attackers to exploit the system's trust in log data without requiring authentication or privileged access.
The technical execution of this vulnerability relies on the application's naive approach to parsing structured log data where it assumes all log lines follow a predictable format. When authentication attempts occur, the awk parser scans through log entries and identifies the first IPv4 address present, regardless of whether that address represents a legitimate source IP or a manipulated field value. Attackers can leverage this by crafting malicious login requests containing IP addresses within the username field or other editable parameters. The parser's lack of context awareness means it treats any valid IPv4 address found in the log line as a potential threat source, effectively allowing malicious actors to redirect blocking actions away from their own systems toward innocent targets.
The operational impact of this vulnerability extends beyond simple misdirection of security controls and creates substantial risks for network administrators and system operators. When attackers successfully inject false IP addresses into the log parsing process, they can cause legitimate users or systems to be blocked while remaining unblocked themselves, leading to denial of service conditions for authorized personnel and potential compromise of network access control mechanisms. This vulnerability directly relates to ATT&CK technique T1566 which involves social engineering through manipulation of system logs and monitoring tools. The misdirection effect can persist until administrators manually review and correct the blocked IP lists, potentially allowing extended periods of unauthorized access while legitimate users face false blocking.
Mitigation strategies for this vulnerability require immediate implementation of proper input validation and field context awareness within the log parsing logic. The application must employ strict field position validation to ensure that only addresses extracted from designated source fields are processed as potential threat indicators. Additionally, implementing proper sanitization routines that validate IP address formats and reject malformed or suspicious values can prevent injection attacks. Organizations should also consider implementing logging controls that separate malicious activity detection from legitimate access control functions, ensuring that log parsing does not directly influence blocking decisions without proper verification mechanisms. Regular security auditing of parsing logic and input handling processes helps identify similar vulnerabilities in other components and maintains overall system integrity against similar attack vectors.