canonical ubuntu-linux CVE-2022-1473 vulnerability in Canonical and Other Products
Published on May 3, 2022

Resource leakage when decoding certificates and keys

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The OPENSSL_LH_flush() function, which empties a hash table, contains a bug that breaks reuse of the memory occuppied by the removed hash table entries. This function is used when decoding certificates or keys. If a long lived process periodically decodes certificates or keys its memory usage will expand without bounds and the process might be terminated by the operating system causing a denial of service. Also traversing the empty hash table entries will take increasingly more time. Typically such long lived processes might be TLS clients or TLS servers configured to accept client certificate authentication. The function was added in the OpenSSL 3.0 version thus older releases are not affected by the issue. Fixed in OpenSSL 3.0.3 (Affected 3.0.0,3.0.1,3.0.2).

Vendor Advisory NVD

Vulnerability Analysis

CVE-2022-1473 can be exploited 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 no impact on confidentiality and integrity, and a high impact on availability.

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

Weakness Type

What is an Insufficient Cleanup Vulnerability?

The software does not properly "clean up" and remove temporary or supporting resources after they have been used.

CVE-2022-1473 has been classified to as an Insufficient Cleanup vulnerability or weakness.


Products Associated with CVE-2022-1473

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Affected Versions

OpenSSL Version Fixed in OpenSSL 3.0.3 (Affected 3.0.0,3.0.1,3.0.2) is affected by CVE-2022-1473

Exploit Probability

EPSS
0.30%
Percentile
52.97%

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.