Vulnerabilities > Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
| DATE | CVE | VULNERABILITY TITLE | RISK |
|---|---|---|---|
| 2017-01-15 | CVE-2017-5493 | Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) vulnerability in Wordpress wp-includes/ms-functions.php in the Multisite WordPress API in WordPress before 4.7.1 does not properly choose random numbers for keys, which makes it easier for remote attackers to bypass intended access restrictions via a crafted (1) site signup or (2) user signup. | 5.0 |
| 2009-09-21 | CVE-2009-3278 | Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) vulnerability in Qnap Ts-239 PRO Firmware and Ts-639 PRO Firmware The QNAP TS-239 Pro and TS-639 Pro with firmware 2.1.7 0613, 3.1.0 0627, and 3.1.1 0815 use the rand library function to generate a certain recovery key, which makes it easier for local users to determine this key via a brute-force attack. | 5.5 |
| 2009-09-18 | CVE-2009-3238 | Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) vulnerability in multiple products The get_random_int function in drivers/char/random.c in the Linux kernel before 2.6.30 produces insufficiently random numbers, which allows attackers to predict the return value, and possibly defeat protection mechanisms based on randomization, via vectors that leverage the function's tendency to "return the same value over and over again for long stretches of time." | 5.5 |
| 2009-07-08 | CVE-2009-2367 | Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) vulnerability in Iomega Storcenter PRO Firmware cgi-bin/makecgi-pro in Iomega StorCenter Pro generates predictable session IDs, which allows remote attackers to hijack active sessions and gain privileges via brute force guessing attacks on the session_id parameter. | 9.8 |
| 2008-05-13 | CVE-2008-0166 | Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) vulnerability in multiple products OpenSSL 0.9.8c-1 up to versions before 0.9.8g-9 on Debian-based operating systems uses a random number generator that generates predictable numbers, which makes it easier for remote attackers to conduct brute force guessing attacks against cryptographic keys. | 7.5 |