Vulnerabilities > CVE-2020-25696 - Permissive Whitelist vulnerability in multiple products

047910
CVSS 7.5 - HIGH
Attack vector
NETWORK
Attack complexity
HIGH
Privileges required
NONE
Confidentiality impact
HIGH
Integrity impact
HIGH
Availability impact
HIGH
network
high complexity
postgresql
debian
CWE-183

Summary

A flaw was found in the psql interactive terminal of PostgreSQL in versions before 13.1, before 12.5, before 11.10, before 10.15, before 9.6.20 and before 9.5.24. If an interactive psql session uses \gset when querying a compromised server, the attacker can execute arbitrary code as the operating system account running psql. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.

Vulnerable Configurations

Part Description Count
Application
Postgresql
75
OS
Debian
1

Common Weakness Enumeration (CWE)

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Using Leading 'Ghost' Character Sequences to Bypass Input Filters
    An attacker intentionally introduces leading characters that enable getting the input past the filters. The API that is being targeted, ignores the leading "ghost" characters, and therefore processes the attackers' input. This occurs when the targeted API will accept input data in several syntactic forms and interpret it in the equivalent semantic way, while the filter does not take into account the full spectrum of the syntactic forms acceptable to the targeted API. Some APIs will strip certain leading characters from a string of parameters. Perhaps these characters are considered redundant, and for this reason they are removed. Another possibility is the parser logic at the beginning of analysis is specialized in some way that causes some characters to be removed. The attacker can specify multiple types of alternative encodings at the beginning of a string as a set of probes. One commonly used possibility involves adding ghost characters--extra characters that don't affect the validity of the request at the API layer. If the attacker has access to the API libraries being targeted, certain attack ideas can be tested directly in advance. Once alternative ghost encodings emerge through testing, the attacker can move from lab-based API testing to testing real-world service implementations.
  • Exploiting Multiple Input Interpretation Layers
    An attacker supplies the target software with input data that contains sequences of special characters designed to bypass input validation logic. This exploit relies on the target making multiples passes over the input data and processing a "layer" of special characters with each pass. In this manner, the attacker can disguise input that would otherwise be rejected as invalid by concealing it with layers of special/escape characters that are stripped off by subsequent processing steps. The goal is to first discover cases where the input validation layer executes before one or more parsing layers. That is, user input may go through the following logic in an application: In such cases, the attacker will need to provide input that will pass through the input validator, but after passing through parser2, will be converted into something that the input validator was supposed to stop.
  • Using Unicode Encoding to Bypass Validation Logic
    An attacker may provide a Unicode string to a system component that is not Unicode aware and use that to circumvent the filter or cause the classifying mechanism to fail to properly understanding the request. That may allow the attacker to slip malicious data past the content filter and/or possibly cause the application to route the request incorrectly.