Side-Channel Leak in OpenSC PKCS#1 Padding Removal
CVE-2023-5992 Published on January 31, 2024

Opensc: side-channel leaks while stripping encryption pkcs#1 padding
A vulnerability was found in OpenSC where PKCS#1 encryption padding removal is not implemented as side-channel resistant. This issue may result in the potential leak of private data.

Vendor Advisory Vendor Advisory NVD

Vulnerability Analysis

CVE-2023-5992 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to be low. considered to have a small impact on confidentiality and integrity and availability.

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

Timeline

Reported to Red Hat.

Made public. 20 days later.

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-2023-5992 has been classified to as a Side Channel Attack vulnerability or weakness.


Products Associated with CVE-2023-5992

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Affected Versions

Red Hat Enterprise Linux 8: Red Hat Enterprise Linux 9: Red Hat Enterprise Linux 7:

Exploit Probability

EPSS
0.28%
Percentile
50.98%

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.