CVE Vulnerabilities

CVE-2022-4203

Out-of-bounds Read

Published: Feb 24, 2023 | Modified: Feb 04, 2024
CVSS 3.x
4.9
MEDIUM
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
4.9 MODERATE
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H
Ubuntu
MEDIUM

A read buffer overrun can be triggered in X.509 certificate verification, specifically in name constraint checking. Note that this occurs after certificate chain signature verification and requires either a CA to have signed the malicious certificate or for the application to continue certificate verification despite failure to construct a path to a trusted issuer.

The read buffer overrun might result in a crash which could lead to a denial of service attack. In theory it could also result in the disclosure of private memory contents (such as private keys, or sensitive plaintext) although we are not aware of any working exploit leading to memory contents disclosure as of the time of release of this advisory.

In a TLS client, this can be triggered by connecting to a malicious server. In a TLS server, this can be triggered if the server requests client authentication and a malicious client connects.

Weakness

The product reads data past the end, or before the beginning, of the intended buffer.

Affected Software

Name Vendor Start Version End Version
Openssl Openssl 3.0.0 (including) 3.0.8 (excluding)
Red Hat Enterprise Linux 9 RedHat openssl-1:3.0.1-47.el9_1 *
Red Hat Enterprise Linux 9 RedHat openssl-1:3.0.1-47.el9_1 *
Red Hat Enterprise Linux 9.0 Extended Update Support RedHat openssl-1:3.0.1-46.el9_0 *
Edk2 Ubuntu trusty *
Edk2 Ubuntu xenial *
Nodejs Ubuntu trusty *
Openssl Ubuntu devel *
Openssl Ubuntu jammy *
Openssl Ubuntu kinetic *
Openssl Ubuntu lunar *
Openssl Ubuntu mantic *
Openssl Ubuntu trusty *
Openssl Ubuntu upstream *
Openssl Ubuntu xenial *

Potential Mitigations

  • Assume all input is malicious. Use an “accept known good” input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, “boat” may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as “red” or “blue.”
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code’s environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.

References