IBM GSKit-Crypto Timing Side-Channel RSA Decryption Leak
CVE-2023-33850 Published on August 22, 2023

IBM GSKit-Crypto information disclosure
IBM GSKit-Crypto could allow a remote attacker to obtain sensitive information, caused by a timing-based side channel in the RSA Decryption implementation. By sending an overly large number of trial messages for decryption, an attacker could exploit this vulnerability to obtain sensitive information.

Vendor Advisory Vendor Advisory Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-33850 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Type

What is a Side Channel Attack Vulnerability?

The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not. Discrepancies can take many forms, and variations may be detectable in timing, control flow, communications such as replies or requests, or general behavior. These discrepancies can reveal information about the product's operation or internal state to an unauthorized actor. In some cases, discrepancies can be used by attackers to form a side channel.

CVE-2023-33850 has been classified to as a Side Channel Attack vulnerability or weakness.


Products Associated with CVE-2023-33850

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Affected Versions

IBM TXSeries for Multiplatforms: IBM CICS TX Standard: IBM CICS TX Advanced: ibm txseries_for_multiplatform: ibm cics_tx: ibm cics_tx:

Exploit Probability

EPSS
0.06%
Percentile
17.14%

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.