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Random password generator project
The random_password_generator (aka RandomPasswordGenerator) gem through 1.0.0 for Ruby uses Kernel#rand to generate passwords, which, due to its cyclic nature, can facilitate password prediction.
Dell PowerScale OneFS, versions 8.2.x-9.3.x, contain a predictable seed in pseudo-random number generator. A remote unauthenticated attacker could potentially exploit this vulnerability, leading to an account compromise.
Piwigo is image gallery software written in PHP. When a criteria is not met on a host, piwigo defaults to usingmt_rand in order to generate password reset tokens. mt_rand output can be predicted after recovering the seed used to generate it. This low an unauthenticated attacker to take over an account providing they know an administrators email address in order to be able to request password reset.
A flaw in the previous versions of the product may allow an authenticated attacker the ability to execute code as a privileged user on a system where the agent is installed.
A predictable seed vulnerability exists in the password reset functionality of Epignosis EfrontPro 5.2.21. By predicting the seed it is possible to generate the correct password reset 1-time token. An attacker can visit the password reset supplying the password reset token to reset the password of an account of their choice.
NVIDIA DGX servers, all BMC firmware versions prior to 3.38.30, contain a vulnerability in the AMI BMC firmware in which the Pseudo-Random Number Generator (PRNG) algorithm used in the JSOL package that implements the IPMI protocol is not cryptographically strong, which may lead to information disclosure.
An issue was discovered in beta versions of the 1Password command-line tool prior to 0.5.5 and in beta versions of the 1Password SCIM bridge prior to 0.7.3. An insecure random number generator was used to generate various keys. An attacker with access to the user's encrypted data may be able to perform brute-force calculations of encryption keys and thus succeed at decryption.
Elastic Cloud on Kubernetes (ECK) versions prior to 1.1.0 generate passwords using a weak random number generator. If an attacker is able to determine when the current Elastic Stack cluster was deployed they may be able to more easily brute force the Elasticsearch credentials generated by ECK.
lib/libc/stdlib/random.c in OpenBSD returns 0 when seeded with 0.
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