Vulnerabilities > CVE-2024-38877 - Cleartext Storage of Sensitive Information vulnerability in Siemens products

047910
CVSS 8.8 - HIGH
Attack vector
LOCAL
Attack complexity
LOW
Privileges required
LOW
Confidentiality impact
HIGH
Integrity impact
HIGH
Availability impact
HIGH
local
low complexity
siemens
CWE-312

Summary

A vulnerability has been identified in Omnivise T3000 Application Server R9.2 (All versions), Omnivise T3000 Domain Controller R9.2 (All versions), Omnivise T3000 Network Intrusion Detection System (NIDS) R9.2 (All versions), Omnivise T3000 Product Data Management (PDM) R9.2 (All versions), Omnivise T3000 R8.2 SP3 (All versions), Omnivise T3000 R8.2 SP4 (All versions), Omnivise T3000 Security Server R9.2 (All versions), Omnivise T3000 Terminal Server R9.2 (All versions), Omnivise T3000 Thin Client R9.2 (All versions), Omnivise T3000 Whitelisting Server R9.2 (All versions). The affected devices stores initial system credentials without sufficient protection. An attacker with remote shell access or physical access could retrieve the credentials leading to confidentiality loss allowing the attacker to laterally move within the affected network.

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).