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icsIndustrial Control Systems Cyber Emergency Response TeamICSA-21-147-01
HistoryMay 27, 2021 - 12:00 p.m.

GENIVI Alliance DLT

2021-05-2712:00:00
Industrial Control Systems Cyber Emergency Response Team
www.cisa.gov
30

7.5 High

CVSS2

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:N/AC:L/Au:N/C:P/I:P/A:P

9.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

9.7 High

AI Score

Confidence

High

0.013 Low

EPSS

Percentile

85.9%

1. EXECUTIVE SUMMARY

  • CVSS v3 9.8 ***ATTENTION: **Exploitable remotely/low attack complexity
  • **Vendor:**GENIVI Alliance
  • **Equipment:**DLT-Daemon
  • Vulnerability: Heap-based Buffer Overflow

2. RISK EVALUATION

Successful exploitation of this vulnerability could lead to remote code execution or crash the application.

3. TECHNICAL DETAILS

3.1 AFFECTED PRODUCTS

The following software component, which is open-source and maintained by GENIVI Alliance, is affected:

  • dlt-daemon (diagnostic log and trace) versions prior to 2.18.6

3.2 VULNERABILITY OVERVIEW

3.2.1 HEAP-BASED BUFFER OVERFLOW CWE-122

The daemon in GENIVI diagnostic log and trace (DLT), is vulnerable to a heap-based buffer overflow that could allow an attacker to remotely execute arbitrary code.

CVE-2020-36244 has been assigned to this vulnerability. A CVSS v3 base score of 9.8 has been calculated; the CVSS vector string is (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

3.3 BACKGROUND

  • CRITICAL INFRASTRUCTURE SECTORS: Critical Manufacturing
  • **COUNTRIES/AREAS DEPLOYED:**Worldwide
  • **COMPANY HEADQUARTERS LOCATION:**United States

3.4 RESEARCHER

Jan Schrewe of Informatik reported this vulnerability to CISA.

4. MITIGATIONS

GENIVI Alliance recommends upgrading to the newest version of the product.

CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability. Specifically, users should:

  • Minimize network exposure for all control system devices and/or systems, and ensure that they are not accessible from the Internet.
  • Locate control system networks and remote devices behind firewalls, and isolate them from the business network.
  • When remote access is required, use 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 its 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 us-cert.cisa.gov. Several recommended practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies.

Additional mitigation guidance and recommended practices are publicly available on the ICS webpage on us-cert.cisa.gov in the Technical Information Paper, ICS-TIP-12-146-01B–Targeted Cyber Intrusion Detection and Mitigation Strategies.

Organizations observing any suspected malicious activity should follow their established internal procedures and report their findings to CISA for tracking and correlation against other incidents.

No known public exploits specifically target this vulnerability.

References

7.5 High

CVSS2

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:N/AC:L/Au:N/C:P/I:P/A:P

9.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

9.7 High

AI Score

Confidence

High

0.013 Low

EPSS

Percentile

85.9%