
Cloud Vulnerability DB
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Steghide version 0.5.1 contains a security vulnerability (CVE-2021-27211) that was disclosed in February 2021. The vulnerability stems from the software's reliance on a 32-bit seed value for its steganographic operations, which significantly weakens its security model and makes it easier for attackers to detect hidden data (NVD, CVE).
The vulnerability exists in the way Steghide generates its seed value for data hiding. The process involves taking a password, creating an MD5 hash, splitting it into four 32-bit chunks, and XORing these chunks together to create a single 32-bit seed. This limitation to a 32-bit seed means there are only 2^32 possible seeds regardless of password complexity, making it vulnerable to brute-force attacks (Stegcrack GitHub). The vulnerability has been assigned a CVSS v3.1 base score of 7.5 (HIGH) with a vector of CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N (NVD).
The vulnerability compromises the steganographic security of files processed with Steghide 0.5.1. Attackers can potentially detect and extract hidden data from files without knowing the original password, effectively defeating the primary purpose of the steganographic tool. This impacts all files that have been processed using Steghide 0.5.1, regardless of the complexity of the password used (NVD).
The vulnerability has been proven exploitable, with a public proof-of-concept tool called Stegcrack available. The exploit works by brute-forcing the 32-bit seed space to detect and potentially extract hidden data, even without knowledge of the original password. If the embedded data was not encrypted during the hiding process, the tool can fully extract the hidden content in plain text (Stegcrack GitHub).
As of now, there is no official patch or fix available for this vulnerability in Steghide 0.5.1. The software remains vulnerable in the Debian distribution and other platforms (Debian Tracker). Users are advised to consider alternative steganography tools or ensure that they always use encryption when hiding data, as this provides an additional layer of security even if the steganographic protection is compromised.
Source: This report was generated using AI
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