Vulnerabilities > CVE-2023-22894 - Cleartext Storage of Sensitive Information vulnerability in Strapi

047910
CVSS 4.9 - MEDIUM
Attack vector
NETWORK
Attack complexity
LOW
Privileges required
HIGH
Confidentiality impact
HIGH
Integrity impact
NONE
Availability impact
NONE
network
low complexity
strapi
CWE-312

Summary

Strapi through 4.5.5 allows attackers (with access to the admin panel) to discover sensitive user details by exploiting the query filter. The attacker can filter users by columns that contain sensitive information and infer a value from API responses. If the attacker has super admin access, then this can be exploited to discover the password hash and password reset token of all users. If the attacker has admin panel access to an account with permission to access the username and email of API users with a lower privileged role (e.g., Editor or Author), then this can be exploited to discover sensitive information for all API users but not other admin accounts.

Vulnerable Configurations

Part Description Count
Application
Strapi
113

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Footprinting
    An attacker engages in probing and exploration activity to identify constituents and properties of the target. Footprinting is a general term to describe a variety of information gathering techniques, often used by attackers in preparation for some attack. It consists of using tools to learn as much as possible about the composition, configuration, and security mechanisms of the targeted application, system or network. Information that might be collected during a footprinting effort could include open ports, applications and their versions, network topology, and similar information. While footprinting is not intended to be damaging (although certain activities, such as network scans, can sometimes cause disruptions to vulnerable applications inadvertently) it may often pave the way for more damaging attacks.
  • Lifting Data Embedded in Client Distributions
    An attacker can resort to stealing data embedded in client distributions or client code in order to gain certain information. This information can reveal confidential contents, such as account numbers, or can be used as an intermediate step in a larger attack (such as by stealing keys/credentials).