Belkasoft Incident

Efficiently investigate hacking attempts of Windows computers

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Belkasoft Incident Investigations is a part of Belkasoft X Corporate product. The module is developed specifically for businesses and aimed to investigate hacking attempts of Windows-based computers.
By analyzing numerous sources, you can identify traces that are typical of various techniques used by hackers to infiltrate a company's infrastructure and base your cyber incident response on these findings.


Quickly respond to hacker attacks thanks to all necessary data conveniently presented on a single screen

Comprehensive analysis

Detect impactful security events by analyzing numerous sources, such as registry, event logs, other system files and less known sources

Search, bookmarking and reporting

Search inside found artifacts, bookmark important data and generate comprehensive incident reports right after the analysis stage

Compatibility with the other Belkasoft products

Benefit from the analytical capabilities of images acquired by Belkasoft R and Belkasoft T, as well as those obtained through third-party tools.


Comparing to the pricing of the alternative products, it will fit your budget easily

  • Detect suspicious traces in most typical locations, including registries, event logs and less known files
  • Analyze how malicious code persisted in the system by analyzing services, scheduled tasks, WMI subscriptions, Applinit DLLs and so on
  • Learn how and when malware was executed by examining various artifacts such as Amcache and Shimcache, Syscache, BAM and DAM
  • Extract remote connections details including IP and time stamps for RDP and TeamViewer
  • Find potential initial attack vector by analyzing recently opened documents and browser links, latest downloads and so on
  • Search inside extracted information, bookmark important data and create reports in multiple formats

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Use cases

Endpoint attacks

Focus on attacks designed to compromise endpoints: phishing e-mails and other attack vectors begin with a compromised PC or laptop.

Malicious email

Detect patterns indicating attackers use e-mail services to access the network.

Remote access

Detect misuse of remote access either by outsiders or insiders.

Anomalous user activity

Detect indications of abnormal system usage, abnormal use of credentials, or escalation of credentials.

Attacks correlation with known vulnerabilities

By means of consistent vulnerability scanning correlate attack vectors which can be utilized by malicious users to exploit those vulnerabilities.

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