SCRAM Java timing attack via Arrays.equals (v<3.2)
CVE-2025-59432 Published on September 22, 2025
Timing Attack Vulnerability in SCRAM Authentication
SCRAM (Salted Challenge Response Authentication Mechanism) is part of the family of Simple Authentication and Security Layer (SASL, RFC 4422) authentication mechanisms. Prior to version 3.2, a timing attack vulnerability exists in the SCRAM Java implementation. The issue arises because Arrays.equals was used to compare secret values such as client proofs and server signatures. Since Arrays.equals performs a short-circuit comparison, the execution time varies depending on how many leading bytes match. This behavior could allow an attacker to perform a timing side-channel attack and potentially infer sensitive authentication material. All users relying on SCRAM authentication are impacted. This vulnerability has been patched in version 3.1 by replacing Arrays.equals with MessageDigest.isEqual, which ensures constant-time comparison.
Weakness Types
Observable Timing Discrepancy
Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not. In security-relevant contexts, even small variations in timing can be exploited by attackers to indirectly infer certain details about the product's internal operations. For example, in some cryptographic algorithms, attackers can use timing differences to infer certain properties about a private key, making the key easier to guess. Timing discrepancies effectively form a timing side channel.
Covert Timing Channel
Covert timing channels convey information by modulating some aspect of system behavior over time, so that the program receiving the information can observe system behavior and infer protected information.
Affected Versions
ongres scram Version < 3.2 is affected by CVE-2025-59432Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.