Security
Headlines
HeadlinesLatestCVEs

Headline

Rockwell Automation DataMosaix Private Cloud

View CSAF

  1. EXECUTIVE SUMMARY CVSS v4 8.6 ATTENTION: Exploitable remotely/low attack complexity Vendor: Rockwell Automation Equipment: DataMosaix Private Cloud Vulnerability: Improper Authentication
  2. RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to generate cookies for a user ID without the use of a username or password, resulting in the malicious actor to take over the account.
  3. TECHNICAL DETAILS 3.1 AFFECTED PRODUCTS The following versions of Rockwell Automation’s DataMosaix Private Cloud are affected: DataMosaix Private Cloud: Versions prior to 7.07 3.2 Vulnerability Overview 3.2.1 IMPROPER AUTHENTICATION CWE-287 An improper authentication vulnerability exists in the affected product, which could allow a malicious user to generate cookies for any user ID without the use of a username or password. If exploited, a malicious user could take over the account of a legitimate user. The malicious user would be able to view and modify data stored in the cloud. CVE-2024-6078 has been assigned to this vulnerability. A CVSS v3.1 base score of 9.1 has been calculated; the CVSS vector string is (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N). A CVSS v4 score has also been calculated for CVE-2024-6078. A base score of 8.6 has been calculated; the CVSS vector string is (CVSS4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N). 3.3 BACKGROUND CRITICAL INFRASTRUCTURE SECTORS: Critical Manufacturing COUNTRIES/AREAS DEPLOYED: Worldwide COMPANY HEADQUARTERS LOCATION: United States 3.4 RESEARCHER Rockwell Automation reported this vulnerability to CISA.
  4. MITIGATIONS Users are encouraged to upgrade the DataMosaix Private Cloud software from V7.07 to V7.09. The application support team will work with respective users to upgrade. CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network exposure for all control system devices and/or systems, ensuring they are not accessible from the internet. Locate control system networks and remote devices behind firewalls and isolating them from business networks. When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most current version available. Also recognize VPN is only as secure as the connected devices. CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures. CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov/ics. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies. CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets. Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov/ics in the technical information paper, ICS-TIP-12-146-01B–Targeted Cyber Intrusion Detection and Mitigation Strategies. Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents. CISA also recommends users take the following measures to protect themselves from social engineering attacks: Do not click web links or open attachments in unsolicited email messages. Refer to Recognizing and Avoiding Email Scams for more information on avoiding email scams. Refer to Avoiding Social Engineering and Phishing Attacks for more information on social engineering attacks. No known public exploitation specifically targeting this vulnerability has been reported to CISA at this time.
  5. UPDATE HISTORY August 13, 2024: Initial Publication.
us-cert
#vulnerability#web#git#auth

us-cert: Latest News

Siemens User Management Component