CVE-2018-18599 in Stegdetect
Summary
by MITRE
Stegdetect through 2018-05-26 has an out-of-bounds write in f5_compress in the f5.c file.
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Analysis
by VulDB Data Team • 05/30/2023
The vulnerability identified as CVE-2018-18599 affects the stegdetect tool version 2018-05-26 and earlier, representing a critical out-of-bounds write flaw in the f5_compress function within the f5.c source file. This issue arises during the processing of steganographic content analysis where the application fails to properly validate input data boundaries before performing memory operations. The flaw specifically manifests when the tool processes certain image files that contain embedded steganographic data, particularly those utilizing the F5 steganography algorithm. The out-of-bounds write occurs due to inadequate bounds checking in the compression routine that handles the manipulation of image pixel data during steganalysis operations.
The technical implementation of this vulnerability stems from a fundamental failure in input validation mechanisms within the stegdetect framework. When the f5_compress function processes image data, it does not properly verify that array indices remain within allocated memory boundaries, leading to memory corruption that can be exploited by malicious actors. This type of flaw falls under the Common Weakness Enumeration category CWE-787, which specifically addresses out-of-bounds write vulnerabilities that can result in arbitrary code execution or system instability. The vulnerability is particularly dangerous because it allows attackers to manipulate memory layout through crafted input files, potentially leading to complete system compromise.
The operational impact of this vulnerability extends beyond simple denial of service scenarios, as it creates opportunities for remote code execution and privilege escalation within systems running vulnerable versions of stegdetect. Attackers could craft specially formatted image files that, when processed by the tool, would trigger the out-of-bounds write condition and potentially execute malicious code with the privileges of the user running stegdetect. This makes the vulnerability particularly concerning in environments where automated steganalysis tools are used for security auditing or content filtering. The vulnerability affects any system that utilizes stegdetect for analyzing image files, including security testing environments, digital forensics platforms, and automated content moderation systems.
Mitigation strategies for CVE-2018-18599 should prioritize immediate patching of affected stegdetect installations to version 2018-05-27 or later, which contains the necessary bounds checking fixes. Organizations should implement input validation controls at the application level to prevent processing of malformed image files that could trigger the vulnerability. Network segmentation and access controls should be enforced to limit exposure of systems running stegdetect to untrusted input sources. Security monitoring should include detection of unusual steganalysis processing patterns that might indicate exploitation attempts. Additionally, system administrators should consider implementing sandboxing mechanisms for stegdetect operations and regularly update security tooling to ensure protection against similar vulnerabilities in other steganalysis applications. The vulnerability demonstrates the critical importance of proper memory management and input validation in security tools that process untrusted data, aligning with ATT&CK technique T1059.007 for command and scripting interpreter usage in exploitation scenarios.