A RomCom Targeting Ukraine

By Ashwin Venugopal -

 






About

RomCom is an active threat actor group, that was discovered in mid 2022. Since the emerging war between Russia and Ukraine, this group is targeting Ukraine and its aiding Western countries. They deploy a trojanized version of Devolutions Remote Desktop Manager, that encourages the victims to download it after they are guided to a clone website via phishing tactics. 

RomCom depends on the specially curated information about its victims. It make use of a malicious technique of typosquatting, in which the actor registers its fake domain as a real one but differs by the suffix. After the successful installation of the malware, it systematically starts collecting essential host and user metadata from the infected system to transfer to its command-and-control server. 

Geopolitical Motivations

Evidently, RomCom is not motivated financially but following a geopolitical agenda. However, who is behind this group is unclear with no clear link to existing nation-state. They targets sensitive information like military secrets, military training programs, etc. 

Prevention

General methods to combat a ransomware attack are as follows-
  • Mandatory strong password policies and multi-factor authentication for all critical services.
  • Use updated or modern Identity and Access Management (IAM) tools.
  • Employ advanced endpoint security products on all endpoints.
  • Regularly update all the software and operating systems. 
  • Have the least privilege approach to security, including the removal of all the unnecessary access to administrative shares and other services.
  • Administer a solid backup strategy including offline, encrypted, and immutable backup of data.












































Comments

Post a Comment

Popular posts from this blog

Query, Visualize, & Monitor Data in Azure Sentinel

By Ashwin Venugopal -
Image
  Azure Sentinel Workbooks Several ready for use templates are provided by the Azure Sentinel that can be used to create your own workbook and then modify them as needed for Contoso. Most of the data connectors it uses to ingest data come with their own workbooks, but better insight can be obtained by simply looking into the data that is being ingested by using tables and visualizations, including bar and pie charts. You can also make your own workbook easily by using this data from the beginning instead of using the predefined templates. Workbook Page You can easily access the workbook page from the Azure Sentinel from the navigation pane which consists of the: Workbook header- You can add a new workbook and review the saved workbooks as well as templates that are available on the workbook page. Templates section- You can access existing workbook templates on the Templates tab. You can save some of the workbooks for quick access and they will appear on the My Workbooks tab.  From the
Read more

Planning for Implementing SAP Solutions on Azure (Part 2 of 5)

By Ashwin Venugopal -
Image
  To read part 1 please click  here To read part 3 please click  here To read part 4 please click  here To read part 5 please click  here Load Balancing The load balancer uses probe ports to determine as well as route the traffic to an active DBMS node, but of there's any failover then the most common SAP application architecture can automatically reconnect against the private virtual IP address without the need for the SAP application to reconfigure it, while the load balancer redirect the traffic against the private virtual IP address without any need for the SAP application to reconfigure. The loaf balancer also offers an option of DirectServerReturn which if configured, can help in directing the traffic from the DBMS VM to the SAP application layer directly to the application layer without routing through the load balancer. But, if it isn't configured, then the return traffic to the SAP application layer is routed through the load balancer. You can also use Azure Load Balan
Read more

Work with String Data Using KQL Statements

By Ashwin Venugopal -
Image
  Extract Data from Unstructured String Fields Unstructured string fields often contains the Security log data and requires parsing to extract data. There are multiple ways of pulling information from string fields in KQL and the two primary operators used are extract and parse.  Extract It gets a match for a regular expression from a text string. You can convert the extracted substring to the indicated type.  Arguments regex- A regular expression. captureGroup- A positive int constant indicating the capture group to extract. 0 stands for the entire match, 1 for the value matched by the first '('parenthesis')' in the regular expression, 2 or more for subsequent parenthesis.  text- A string to search. typeLiteral- An optional type literal. If provided, the extracted substring is converted to this type.  Returns If regex finds a match in text- the substring matched against the indicated capture group captureGroup, optionally converted to typeLiteral. If there's no mat
Read more