CyberRota Analysis
AI-GeneratedOpenSSL versions prior to 1.4.0 are vulnerable due to the use of Python's non-cryptographic random module in the `generate_pseudorandom_sequence` function, which compromises the randomness of steganographic pixel selection. This flaw allows attackers with knowledge of the password to recover the Mersenne Twister state from around 624 outputs, enabling them to predict pixel locations and extract hidden data. Organizations utilizing affected versions of OpenSSL should prioritize patching to mitigate the risk of data leakage.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
openssl_encrypt versions before 1.4.0 use Python's non-cryptographic random module for steganographic pixel selection in the generate_pseudorandom_sequence function. Attackers who know the password can recover the Mersenne Twister state from approximately 624 outputs and predict pixel locations containing hidden data for extraction.
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