Libgcrypt before 1.7.10 and 1.8.x before 1.8.3 allows a memory-cache side-channel attack on ECDSA signatures that can be mitigated through the use of blinding during the signing process in the _gcry_ecc_ecdsa_sign function in cipher/ecc-ecdsa.c, aka the Return Of the Hidden Number Problem or ROHNP. To discover an ECDSA key, the attacker needs access to either the local machine or a different virtual machine on the same physical host.
CWE-203
CVE-2018-0134
A vulnerability in the RADIUS authentication module of Cisco Policy Suite could allow an unauthenticated, remote attacker to determine whether a subscriber username is valid. The vulnerability occurs because the Cisco Policy Suite RADIUS server component returns different authentication failure messages based on the validity of usernames. An attacker could use these messages to determine whether a valid subscriber username has been identified. The attacker could use this information in subsequent attacks against the system. Cisco Bug IDs: CSCvg47830.
CVE-2020-9690
Magento versions 2.3.5-p1 and earlier, and 2.3.5-p1 and earlier have an observable timing discrepancy vulnerability. Successful exploitation could lead to signature verification bypass.
CVE-2020-9588
Magento versions 2.3.4 and earlier, 2.2.11 and earlier (see note), 1.14.4.4 and earlier, and 1.9.4.4 and earlier have an observable timing discrepancy vulnerability. Successful exploitation could lead to signature verification bypass.
CVE-2020-9389
A username enumeration issue was discovered in SquaredUp before version 4.6.0. The login functionality was implemented in a way that would enable a malicious user to guess valid username due to a different response time from invalid usernames.
CVE-2020-8989
In the Voatz application 2020-01-01 for Android, the amount of data transmitted during a single voter’s vote depends on the different lengths of the metadata across the available voting choices, which makes it easier for remote attackers to discover this voter’s choice by sniffing the network. For example, a small amount of sniffed data may indicate that a vote was cast for the candidate with the least metadata. An active man-in-the-middle attacker can leverage this behavior to disrupt voters’ abilities to vote for a candidate opposed by the attacker.