Vulnerabilities > CVE-2021-28131 - Information Exposure Through Log Files vulnerability in Apache Impala

047910
CVSS 7.5 - HIGH
Attack vector
NETWORK
Attack complexity
HIGH
Privileges required
LOW
Confidentiality impact
HIGH
Integrity impact
HIGH
Availability impact
HIGH
network
high complexity
apache
CWE-532
NVD
Published: 2021-07-22
Updated: 2023-11-07

Summary

Impala sessions use a 16 byte secret to verify that the session is not being hijacked by another user. However, these secrets appear in the Impala logs, therefore Impala users with access to the logs can use another authenticated user's sessions with specially constructed requests. This means the attacker is able to execute statements for which they don't have the necessary privileges otherwise. Impala deployments with Apache Sentry or Apache Ranger authorization enabled may be vulnerable to privilege escalation if an authenticated attacker is able to hijack a session or query from another authenticated user with privileges not assigned to the attacker. Impala deployments with audit logging enabled may be vulnerable to incorrect audit logging as a user could undertake actions that were logged under the name of a different authenticated user. Constructing an attack requires a high degree of technical sophistication and access to the Impala system as an authenticated user. Mitigation: If an Impala deployment uses Apache Sentry, Apache Ranger or audit logging, then users should upgrade to a version of Impala with the fix for IMPALA-10600. The Impala 4.0 release includes this fix. This hides session secrets from the logs to eliminate the risk of any attack using this mechanism. In lieu of an upgrade, restricting access to logs that expose secrets will reduce the risk of an attack. Restricting access to the Impala deployment to trusted users will also reduce the risk of an attack. Log redaction techniques can be used to redact secrets from the logs.

Vulnerable Configurations

Part Description Count
Application
Apache
37

Common Weakness Enumeration (CWE)

Common Attack Pattern Enumeration and Classification (CAPEC)

  • Fuzzing and observing application log data/errors for application mapping
    An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. Fuzzing techniques involve sending random or malformed messages to a target and monitoring the target's response. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash. By observing logs and error messages, the attacker can learn details about the configuration of the target application and might be able to cause the target to disclose sensitive information.

References