Vulnerabilities > CVE-2020-12023 - Information Exposure Through Log Files vulnerability in Philips Intellibridge Enterprise B.12

047910
CVSS 4.5 - MEDIUM
Attack vector
ADJACENT_NETWORK
Attack complexity
LOW
Privileges required
HIGH
Confidentiality impact
HIGH
Integrity impact
NONE
Availability impact
NONE
low complexity
philips
CWE-532

Summary

Philips IntelliBridge Enterprise (IBE), Versions B.12 and prior, IntelliBridge Enterprise system integration with SureSigns (VS4), EarlyVue (VS30) and IntelliVue Guardian (IGS). Unencrypted user credentials received in the IntelliBridge Enterprise (IBE) are logged within the transaction logs, which are secured behind the login based administrative web portal. The unencrypted user credentials sent from the affected products listed above, for the purpose of handshake or authentication with the Enterprise Systems, are logged as the payload in IntelliBridge Enterprise (IBE) within the transaction logs. An attacker with administrative privileges could exploit this vulnerability to read plain text credentials from log files.

Vulnerable Configurations

Part Description Count
Application
Philips
1

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.