CVE-2024-4978

May 23, 2024, 2:15 a.m.

8.4
High

Description

Justice AV Solutions Viewer Setup 8.3.7.250-1 contains a malicious binary when executed and is signed with an unexpected authenticode signature. A remote, privileged threat actor may exploit this vulnerability to execute of unauthorized PowerShell commands.

Product(s) Impacted

Product Versions
Justice AV Solutions Viewer Setup
  • ['8.3.7.250-1']

Weaknesses

Common security weaknesses mapped to this vulnerability.

References

https://twitter.com/2RunJack2/status/1775052981966377148

Tags

CWE-502
9119a7d8-5eab-497f-8521-727c672e3725
2024-05-23
CVE-2024-4978

CVSS Score

8.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: HIGH
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH

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

    View Vector String

Timeline

Published: May 23, 2024, 2:15 a.m.
Last Modified: May 23, 2024, 2:15 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

9119a7d8-5eab-497f-8521-727c672e3725

Relations

Here is the list of observables linked to the vulnerability CVE-2024-4978 using threat intelligence.

  • StealC InfoStealer
  • GateDoor/Rustdoor

Linked Attack Reports

CVE-2024-4978: Backdoored Justice AV Solutions Viewer Software Used in Apparent Supply Chain Attack

Rapid7 discovered that version 8.3.7 of the JAVS Viewer software from Justice AV Solutions contained a backdoor installer allowing attackers to gain remote control over affected systems. The malicious installer included a binary named fffmpeg.exe which executed obfuscated PowerShell scripts and fac…
backdoor
supply chain
CVE-2024-4978
2024-05-24
credential harvesting
installer
stealc infostealer
software
gatedoor/rustdoor
Published: May 24, 2024
Linked vulnerabilities : CVE-2024-4978 (CVSS 8.4)
Downloadable IOCs: 10

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.