Compromise Assessment

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THOR - Compromise Assessment

Performing Compromise Assessment with Nextron System’s THOR for Incident Response: Mjolnir Security’s Proactive Approach to Threat Detection

Introduction

In today’s digital world, businesses face ever-evolving cyber threats, making it crucial to have a robust cybersecurity infrastructure in place. One of the critical aspects of any cybersecurity framework is the ability to perform compromise assessments. Mjolnir Security, a leading cybersecurity service provider, uses Nextron System’s THOR for Incident Response to help clients identify threats and conduct effective compromise assessments.

In this blog post, we will discuss the benefits of compromise assessment, how Nextron System’s THOR for Incident Response aids in this process, and the role Mjolnir Security plays in helping clients detect and mitigate threats.

The Importance of Compromise Assessment

Compromise assessment is a proactive approach to cybersecurity, aiming to identify ongoing or past cyber attacks in an organization’s network. It helps in:

  1. Detecting hidden threats, such as malware or advanced persistent threats (APTs) that may have evaded traditional security measures.
  2. Assessing the overall security posture of an organization by identifying vulnerabilities and areas of improvement.
  3. Providing insights to enhance the organization’s incident response capabilities and prevent future attacks.

Nextron System’s THOR for Incident Response

THOR for Incident Response is a powerful digital forensic and incident response (DFIR) tool developed by Nextron Systems. It combines the functionality of various security tools into a single, easy-to-use platform. Key features of THOR include:

  1. Signature-based detection: THOR uses a vast library of signatures and indicators of compromise (IOCs) to identify known threats, malware, and suspicious activity.
  2. Anomaly detection: THOR’s advanced analytics capabilities allow it to identify unknown threats and malicious activities by analyzing system behavior and detecting anomalies.
  3. Deep scanning: THOR can deeply scan systems, including memory, file systems, and registry, to identify hidden threats and remnants of past attacks.
  4. Flexibility: THOR is designed to work on various platforms, including Windows, macOS, and Linux, making it suitable for organizations with diverse IT environments.

Mjolnir Security’s Compromise Assessment Services

Mjolnir Security provides comprehensive compromise assessment services that leverage the power of Nextron System’s THOR for Incident Response. Here’s how Mjolnir Security helps clients detect and mitigate threats:

  1. Expert analysis: Mjolnir Security’s team of cybersecurity experts conducts thorough assessments using THOR, interpreting the findings and providing actionable insights.
  2. Customization: Mjolnir Security tailors its services to meet the unique requirements of each client, ensuring that the compromise assessment is both efficient and effective.
  3. Remediation: In the event that a threat is identified, Mjolnir Security assists clients in mitigating the risk and implementing security measures to prevent future attacks.
  4. Continuous monitoring: Mjolnir Security offers ongoing support and monitoring services to ensure that the client’s security posture remains strong and that threats are detected early.

Conclusion

In a world where cyber threats are increasingly sophisticated and persistent, compromise assessment is a vital component of a proactive cybersecurity strategy. By leveraging Nextron System’s THOR for Incident Response, Mjolnir Security can help clients identify, assess, and mitigate threats, strengthening their security posture and safeguarding their digital assets.

Use Cases

THOR flexibility is outstanding. It can be used stand-alone for triage, live forensics or image scans in a lab environment.

THOR is the perfect tool to highlight suspicious elements, reduce the workload and speed up DFIR investigations in moments in which getting quick results is crucial.

THOR’s Signature Set

THOR ships with VALHALLA’s big encrypted signature database of more than 10,000 YARA signatures and undisclosed IOC sets. These signatures includes more than 2000+ web shell rules, 500+ anomaly rules, 3000+ malware rules, 1500+ hack tool and tool output rules, 300+ malicious script and macro rules, 100+ exploit code rules and more than 100 rules for registry and log file matching.

Check VALHALLA’s statistics page to get some examples of THOR’s findings with low Antivirus detection rates.

Custom Indicators and YARA Rules

THOR uses YARA as its main signature format. The way how THOR integrates YARA is fully compatible with normal Yara signatures although THOR extends the standard matching in order to allow certain additional checks.

It is easy to extend the integrated database with your own rules and IOCs. You can add them to the signature database simply by placing these rules in the standard signature folder.

The documentation gives you guidance in cases in which you’d like to utilize the special extensions or encrypt your signatures before the deployment.

THOR as a Plugin

The flexible and portable character of THOR allows deploying it in many different ways. Our customers have integrated THOR as an additional scanner in their malware analysis pipeline, use it in their EDR to scan collected samples and deploy it in live response sessions.

A very compelling integration is the one that extends the live response of Microsoft Defender ATP. While Microsoft Defender ATP fully plays off its strength in detecting live attacks, suspicious processes and network connections, THOR shines as a live forensic scanner that scans the local filesystem, registry, logs and other elements for traces of hacking activity. THOR extends Microsoft Defender ATP’s real-time monitoring by intense local scans to allow a full on-demand compromise assessment.

Read more about Nextron Systems and Thor here: https://www.nextron-systems.com/thor/

Thor Whitepaper: https://www.nextron-systems.com/wp-content/uploads/2019/03/THOR_WhitePaper_EN_03_2019.pdf