CVE Vulnerabilities

CVE-2020-3123

Out-of-bounds Read

Published: Feb 05, 2020 | Modified: Jan 01, 2022
CVSS 3.x
7.5
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS 2.x
5 MEDIUM
AV:N/AC:L/Au:N/C:N/I:N/A:P
RedHat/V2
RedHat/V3
Ubuntu
MEDIUM

A vulnerability in the Data-Loss-Prevention (DLP) module in Clam AntiVirus (ClamAV) Software versions 0.102.1 and 0.102.0 could allow an unauthenticated, remote attacker to cause a denial of service condition on an affected device. The vulnerability is due to an out-of-bounds read affecting users that have enabled the optional DLP feature. An attacker could exploit this vulnerability by sending a crafted email file to an affected device. An exploit could allow the attacker to cause the ClamAV scanning process crash, resulting in a denial of service condition.

Weakness

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

Affected Software

Name Vendor Start Version End Version
Clamav Clamav 0.102.0 (including) 0.102.0 (including)
Clamav Clamav 0.102.1 (including) 0.102.1 (including)
Clamav Ubuntu bionic *
Clamav Ubuntu devel *
Clamav Ubuntu eoan *
Clamav Ubuntu trusty *
Clamav Ubuntu trusty/esm *
Clamav Ubuntu upstream *
Clamav 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