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自動遮断技術により脱走Trickbotによる侵害を阻止

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22
Mar 2022
22
Mar 2022
Autonomous Response recently stopped a Trickbot attack on a public administration organization, despite being activated only after the threat had taken root. This blog outlines the reasons for Trickbot’s repeated resurrection and explains how Darktrace’s Autonomous Response is able to stop each new iteration.

2020年の合衆国大統領選挙に先立って、Microsoft と同社のパートナーは 悪質なマルウェアTrickbotを撲滅し選挙不正の試みを削減しようとしました。これらの取り組みはある程度は成功しました。結果的にTrickbotのインフラの94%が消滅し、その影響は2020年末には大幅に減少しました。

しかし、マルウェアが死滅することは滅多にありません。2021年、REvilによる広範な攻撃発生後の一連の逮捕がこのグループのRansomware-as-a-Service オペレーションの阻止にほとんど影響しなかったことは以前のブログ で説明しました。またRyuk ランサムウェアが作成者に放棄された後、新しい攻撃者の手に渡ったことも紹介しています。

Trickbot はさらに大規模な復活を見ています。2021年6月には、Darktraceは顧客環境の1つでTrickbotによる侵入を観測しています。Trickbotは過去の、無効となったマルウェアというには程遠いのです。むしろ世界で最も広範なマルウェアとなっています。

この顧客がランサムウェア攻撃の被害者とならずに済んだのは、Darktraceの自動遮断技術を直前にアクティブ化していたからでした。Autonomous Response は攻撃のどの段階でもアクションを取ることができるため、Trickbot が環境内に根を下ろした後でもそれを中断させることができ、ランサムウェアの実行を阻止することに成功しました。

環境に根を下ろしたTrickbot

EMEA地域のある行政組織で侵入が発生しました。Darktraceを導入する以前であり、内部のドメインコントローラー1台がTrickbotによって侵害されていました。その後Trickbotは1か月以上も休眠していました。しかし、このマルウェアがアクションを開始するまでには、DarktraceのAIが導入されていたのです。すでに侵害された環境に導入されたにも関わらず、AIは無害なアクティビティと悪意あるアクティビティを区別してただちに脅威を検知することができました。しかし、この時点では自動遮断技術は人間の確認なしにアクションを実行できないよう設定されていました。

Darktraceは侵害されたドメインコントローラが悪意あるDLLファイル(おそらくTrickbotそのもの)を組織内の約280台のデバイスにSMBを使ってアップロードし、Windows Management Instrumentation (WMI) を使って設定および実行しようとしていることを検知しました。Trickbotの古さと悪名にもかかわらず、脅威インテリジェンスに依存したツールはこの段階でも無言のままでした。

図1: 攻撃のタイムライン

攻撃者達はどのようにTrickbotを復活させたか

Trickbotのモジュール的性質はさまざまな犯罪活動に完璧な切り口を提供し、マルウェア自体の適応性も保つことができるため、防御を難しくしています。Microsoftが主導したアクションは複数の既知のTrickbotコマンド&コントロール(C2)サーバーのIPアドレスをダウンさせ、Trickbotオペレーターが新たなアドレスを取得あるいはリースするのを一時的に止めることに成功しました。しかしTrickbotインフラが再構築されるまでに長くはかからず、2021年の5月から6月にはGlobal Threat Indexにおいて再び最も広範に見られるマルウェアと見なされるに至りました。

進化して既存のOSINTを回避するTrickbotの能力はこの攻撃で発揮されました。Darktrace は侵害された280台のデバイスのうち160台が一連の新しいC2エンドポイントに接続を開始していることを観測しました。これらのエンドポイントのいずれについても悪意あるアクティビティと結びついたOSINTはありませんでしたが、Darktraceはこのアクティビティが以前の動作のコンテキストからみて高度に異常であると見なし、セキュリティチームはProactive Threat Notification (PTN)を通じてこの深刻度が高い可能性のあるインシデントについての通知を受けました。

この攻撃者は、侵害されたデバイスが偽装した実行形式ファイルをダウンロードし悪意あるスキャニングアクティビティを実行し始めたことが検知されるまで、1か月以上も存在を隠していました。これらのファイルはおそらくRyukランサムウェアペイロードであることがわかりました。こうして攻撃の各段階の間隔を空けることで、この脅威アクター達は人間のセキュリティチームが点と点をつなぎ合わせ脅威の全貌をつかむのを難しくしていたのです。

しかし、デジタル環境全体に渡って脅威を調査しトリアージを行うDarktraceのCyber AI Analystは、これらのばらばらのイベントをつなぎ合わせて1つの攻撃の経緯説明を組み立て、さらにPTNを提供しました。状況の深刻さを鑑み、この顧客はDarktraceのAsk the Expert (ATE) サービスを利用し、脅威対処へのアドバイスを受けました。

Cyber AI Analyst が複数の内部デバイスに拡散されている不審な実行形式ファイルを調査

自動遮断技術が攻撃の最終段階をシャットダウン

セキュリティチームは直面している脅威のスケールを理解すると、自動遮断技術をアクティブ化して脅威を封じ込めるための自律的アクションを取らせました。もし最初から自動遮断技術が使用されていれば、この攻撃は最も早い段階で、1台のドメインコントローラだけに限定されていたときに阻止されていたはずです。しかし重要な点は、自動遮断技術がランサムウェア攻撃のいかなる段階でもアクションを取れるということです。

この事例のような遅い段階であっても、自動遮断技術は攻撃者を阻止しRyukがネットワーク上で実行されるのを防ぐことができました。AIは、SMB列挙、ネットワークスキャン、疑わしいアウトバウンド接続などを含む悪意あるアクティビティを数秒でブロックし、攻撃を中断させつつ、正常な業務のオペレーションを徹底し、社内のその他の仕事が阻害されずに継続できるようにしました。

C2通信および水平移動が切断されたため、攻撃者はRyukを実行することができず、攻撃はすんでのところで終了しました。ぎりぎりのところで自動遮断技術を有効にしたことが、広範なデータ暗号化と場合によっては抜き出しを回避することができ、もし身代金を払っていたとしても発生するランサムウェア攻撃にともなう多大なコスト を負わずに済んだものと思われます。

手遅れとなる前に自動遮断技術を展開

攻撃が環境に根付いてからアクティブ化されたにもかかわらず、Darktraceは悪意あるアクティビティを正常な業務のオペレーションから区別し、混乱を招くことなく脅威を阻止することができました。次に攻撃が発生しても、この組織は自動遮断技術を完全に自律的なモードに設定して準備していますので、脅威の発生の最初の兆候でアクションを取り、修正のための作業を最小化できるでしょう。

完全に自律的なセキュリティを実現するまでには、AIの精度と意思決定に対する組織の信頼を構築する必要があります。この道のりはそれぞれの組織によって異なりますが、新たな脅威に対して自律的に対処できるテクノロジーの必要性は、どのような組織にとっても実際に苦い思いをして学ぶべきことではありません。

この脅威についての考察はDarktraceアナリストSam Lister が協力しました。

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INSIDE THE SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
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Tony Jarvis
Director of Enterprise Security, Asia Pacific and Japan

Tony Jarvis is Director of Enterprise Security, Asia Pacific and Japan, at Darktrace. Tony is a seasoned cyber security strategist who has advised Fortune 500 companies around the world on best practice for managing cyber risk. He has counselled governments, major banks and multinational companies, and his comments on cyber security and the rising threat to critical national infrastructure have been reported in local and international media including CNBC, Channel News Asia and The Straits Times. Before joining Darktrace, Tony previously served as CTO at Check Point and held senior advisory positions at FireEye, Standard Chartered Bank and Telstra. Tony holds a BA in Information Systems from the University of Melbourne.

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Inside the SOC

PurpleFox in a Henhouse: How Darktrace Hunted Down a Persistent and Dynamic Rootkit

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27
Nov 2023

Versatile Malware: PurpleFox

As organizations and security teams across the world move to bolster their digital defenses against cyber threats, threats actors, in turn, are forced to adopt more sophisticated tactics, techniques and procedures (TTPs) to circumvent them. Rather than being static and predictable, malware strains are becoming increasingly versatile and therefore elusive to traditional security tools.

One such example is PurpleFox. First observed in 2018, PurpleFox is a combined fileless rootkit and backdoor trojan known to target Windows machines. PurpleFox is known for consistently adapting its functionalities over time, utilizing different infection vectors including known vulnerabilities (CVEs), fake Telegram installers, and phishing. It is also leveraged by other campaigns to deliver ransomware tools, spyware, and cryptocurrency mining malware. It is also widely known for using Microsoft Software Installer (MSI) files masquerading as other file types.

The Evolution of PurpleFox

The Original Strain

First reported in March 2018, PurpleFox was identified to be a trojan that drops itself onto Windows machines using an MSI installation package that alters registry values to replace a legitimate Windows system file [1]. The initial stage of infection relied on the third-party toolkit RIG Exploit Kit (EK). RIG EK is hosted on compromised or malicious websites and is dropped onto the unsuspecting system when they visit browse that site. The built-in Windows installer (MSIEXEC) is leveraged to run the installation package retrieved from the website. This, in turn, drops two files into the Windows directory – namely a malicious dynamic-link library (DLL) that acts as a loader, and the payload of the malware. After infection, PurpleFox is often used to retrieve and deploy other types of malware.  

Subsequent Variants

Since its initial discovery, PurpleFox has also been observed leveraging PowerShell to enable fileless infection and additional privilege escalation vulnerabilities to increase the likelihood of successful infection [2]. The PowerShell script had also been reported to be masquerading as a .jpg image file. PowerSploit modules are utilized to gain elevated privileges if the current user lacks administrator privileges. Once obtained, the script proceeds to retrieve and execute a malicious MSI package, also masquerading as an image file. As of 2020, PurpleFox no longer relied on the RIG EK for its delivery phase, instead spreading via the exploitation of the SMB protocol [3]. The malware would leverage the compromised systems as hosts for the PurpleFox payloads to facilitate its spread to other systems. This mode of infection can occur without any user action, akin to a worm.

The current iteration of PurpleFox reportedly uses brute-forcing of vulnerable services, such as SMB, to facilitate its spread over the network and escalate privileges. By scanning internet-facing Windows computers, PurpleFox exploits weak passwords for Windows user accounts through SMB, including administrative credentials to facilitate further privilege escalation.

Darktrace detection of PurpleFox

In July 2023, Darktrace observed an example of a PurpleFox infection on the network of a customer in the healthcare sector. This observation was a slightly different method of downloading the PurpleFox payload. An affected device was observed initiating a series of service control requests using DCE-RPC, instructing the device to make connections to a host of servers to download a malicious .PNG file, later confirmed to be the PurpleFox rootkit. The device was then observed carrying out worm-like activity to other external internet-facing servers, as well as scanning related subnets.

Darktrace DETECT™ was able to successfully identify and track this compromise across the cyber kill chain and ensure the customer was able to take swift remedial action to prevent the attack from escalating further.

While the customer in question did have Darktrace RESPOND™, it was configured in human confirmation mode, meaning any mitigative actions had to be manually applied by the customer’s security team. If RESPOND had been enabled in autonomous response mode at the time of the attack, it would have been able to take swift action against the compromise to contain it at the earliest instance.

攻撃の概要

Figure 1: Timeline of PurpleFox malware kill chain.

Initial Scanning over SMB

On July 14, 2023, Darktrace detected the affected device scanning other internal devices on the customer’s network via port 445. The numerous connections were consistent with the aforementioned worm-like activity that has been reported from PurpleFox behavior as it appears to be targeting SMB services looking for open or vulnerable channels to exploit.

This initial scanning activity was detected by Darktrace DETECT, specifically through the model breach ‘Device / Suspicious SMB Scanning Activity’. Darktrace’s Cyber AI Analyst™ then launched an autonomous investigation into these internal connections and tied them into one larger-scale network reconnaissance incident, rather than a series of isolated connections.

Figure 2: Cyber AI Analyst technical details summarizing the initial scanning activity seen with the internal network scan over port 445.

As Darktrace RESPOND was configured in human confirmation mode, it was unable to autonomously block these internal connections. However, it did suggest blocking connections on port 445, which could have been manually applied by the customer’s security team.

Figure 3: The affected device’s Model Breach Event Log showing the initial scanning activity observed by Darktrace DETECT and the corresponding suggested RESPOND action.

特権昇格

The device successfully logged in via NTLM with the credential, ‘administrator’. Darktrace recognized that the endpoint was external to the customer’s environment, indicating that the affected device was now being used to propagate the malware to other networks. Considering the lack of observed brute-force activity up to this point, the credentials for ‘administrator’ had likely been compromised prior to Darktrace’s deployment on the network, or outside of Darktrace’s purview via a phishing attack.

Exploitation

Darktrace then detected a series of service control requests over DCE-RPC using the credential ‘admin’ to make SVCCTL Create Service W Requests. A script was then observed where the controlled device is instructed to launch mshta.exe, a Windows-native binary designed to execute Microsoft HTML Application (HTA) files. This enables the execution of arbitrary script code, VBScript in this case.

Figure 4: PurpleFox remote service control activity captured by a Darktrace DETECT model breach.
Figure 5: The infected device’s Model Breach Event Log showing the anomalous service control activity being picked up by DETECT.

There are a few MSIEXEC flags to note:

  • /i : installs or configures a product
  • /Q : sets the user interface level. In this case, it is set to ‘No UI’, which is used for “quiet” execution, so no user interaction is required

Evidently, this was an attempt to evade detection by endpoint users as it is surreptitiously installed onto the system. This corresponds to the download of the rootkit that has previously been associated with PurpleFox. At this stage, the infected device continues to be leveraged as an attack device and scans SMB services over external endpoints. The device also appeared to attempt brute-forcing over NTLM using the same ‘administrator’ credential to these endpoints. This activity was identified by Darktrace DETECT which, if enabled in autonomous response mode would have instantly blocked similar outbound connections, thus preventing the spread of PurpleFox.

Figure 6: The infected device’s Model Breach Event Log showing the outbound activity corresponding to PurpleFox’s wormlike spread. This was caught by DETECT and the corresponding suggested RESPOND action.

Installation

On August 9, Darktrace observed the device making initial attempts to download a malicious .PNG file. This was a notable change in tactics from previously reported PurpleFox campaigns which had been observed utilizing .MOE files for their payloads [3]. The .MOE payloads are binary files that are more easily detected and blocked by traditional signatured-based security measures as they are not associated with known software. The ubiquity of .PNG files, especially on the web, make identifying and blacklisting the files significantly more difficult.

The first connection was made with the URI ‘/test.png’.  It was noted that the HTTP method here was HEAD, a method similar to GET requests except the server must not return a message-body in the response.

The metainformation contained in the HTTP headers in response to a HEAD request should be identical to the information sent in response to a GET request. This method is often used to test hypertext links for validity and recent modification. This is likely a way of checking if the server hosting the payload is still active. Avoiding connections that could possibly be detected by antivirus solutions can help keep this activity under-the-radar.

Figure 7: Packet Capture from an affected customer device showing the initial HTTP requests to the payload server.
Figure 8: Packet Capture showing the HTTP requests to download the payloads.

The server responds with a status code of 200 before the download begins. The HEAD request could be part of the attacker’s verification that the server is still running, and that the payload is available for download. The ‘/test.png’ HEAD request was sent twice, likely for double confirmation to begin the file transfer.

Figure 9: PCAP from the affected customer device showing the Windows Installer user-agent associated with the .PNG file download.

Subsequent analysis using a Packet Capture (PCAP) tool revealed that this connection used the Windows Installer user agent that has previously been associated with PurpleFox. The device then began to download a payload that was masquerading as a Microsoft Word document. The device was thus able to download the payload twice, from two separate endpoints.

By masquerading as a Microsoft Word file, the threat actor was likely attempting to evade the detection of the endpoint user and traditional security tools by passing off as an innocuous text document. Likewise, using a Windows Installer user agent would enable threat actors to bypass antivirus measures and disguise the malicious installation as legitimate download activity.  

Darktrace DETECT identified that these were masqueraded file downloads by correctly identifying the mismatch between the file extension and the true file type. Subsequently, AI Analyst was able to correctly identify the file type and deduced that this download was indicative of the device having been compromised.

In this case, the device attempted to download the payload from several different endpoints, many of which had low antivirus detection rates or open-source intelligence (OSINT) flags, highlighting the need to move beyond traditional signature-base detections.

Figure 10: Cyber AI Analyst technical details summarizing the downloads of the PurpleFox payload.
Figure 11 (a): The Model Breach generated by the masqueraded file transfer associated with the PurpleFox payload.
Figure 11 (b): The Model Breach generated by the masqueraded file transfer associated with the PurpleFox payload.

If Darktrace RESPOND was enabled in autonomous response mode at the time of the attack it would have acted by blocking connections to these suspicious endpoints, thus preventing the download of malicious files. However, as RESPOND was in human confirmation mode, RESPOND actions required manual application by the customer’s security team which unfortunately did not happen, as such the device was able to download the payloads.

結論

The PurpleFox malware is a particularly dynamic strain known to continually evolve over time, utilizing a blend of old and new approaches to achieve its goals which is likely to muddy expectations on its behavior. By frequently employing new methods of attack, malicious actors are able to bypass traditional security tools that rely on signature-based detections and static lists of indictors of compromise (IoCs), necessitating a more sophisticated approach to threat detection.  

Darktrace DETECT’s Self-Learning AI enables it to confront adaptable and elusive threats like PurpleFox. By learning and understanding customer networks, it is able to discern normal network behavior and patterns of life, distinguishing expected activity from potential deviations. This anomaly-based approach to threat detection allows Darktrace to detect cyber threats as soon as they emerge.  

By combining DETECT with the autonomous response capabilities of RESPOND, Darktrace customers are able to effectively safeguard their digital environments and ensure that emerging threats can be identified and shut down at the earliest stage of the kill chain, regardless of the tactics employed by would-be attackers.

Credit to Piramol Krishnan, Cyber Analyst, Qing Hong Kwa, Senior Cyber Analyst & Deputy Team Lead, Singapore

付録

Darktraceによるモデル検知

  • Device / Increased External Connectivity
  • Device / Large Number of Connections to New Endpoints
  • Device / SMB Session Brute Force (Admin)
  • Compliance / External Windows Communications
  • Anomalous Connection / New or Uncommon Service Control
  • Compromise / Unusual SVCCTL Activity
  • Compromise / Rare Domain Pointing to Internal IP
  • Anomalous File / Masqueraded File Transfer

RESPOND Models

  • Antigena / Network / Significant Anomaly / Antigena Breaches Over Time Block
  • Antigena / Network / External Threat / Antigena Suspicious Activity Block
  • Antigena / Network / Significant Anomaly / Antigena Significant Anomaly from Client Block
  • Antigena / Network / Significant Anomaly / Antigena Enhanced Monitoring from Client Block
  • Antigena / Network / External Threat / Antigena Suspicious File Block
  • Antigena / Network / External Threat / Antigena File then New Outbound Block

IoC一覧

IoC - Type - Description

/C558B828.Png - URI - URI for Purple Fox Rootkit [4]

5b1de649f2bc4eb08f1d83f7ea052de5b8fe141f - File Hash - SHA1 hash of C558B828.Png file (Malware payload)

190.4.210[.]242 - IP - Purple Fox C2 Servers

218.4.170[.]236 - IP - IP for download of .PNG file (Malware payload)

180.169.1[.]220 - IP - IP for download of .PNG file (Malware payload)

103.94.108[.]114:10837 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

221.199.171[.]174:16543 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

61.222.155[.]49:14098 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

178.128.103[.]246:17880 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

222.134.99[.]132:12539 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

164.90.152[.]252:18075 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

198.199.80[.]121:11490 - IP - IP from Service Control MSIEXEC script to download PNG file (Malware payload)

MITRE ATT&CK マッピング

Tactic - Technique

Reconnaissance - Active Scanning T1595, Active Scanning: Scanning IP Blocks T1595.001, Active Scanning: Vulnerability Scanning T1595.002

Resource Development - Obtain Capabilities: Malware T1588.001

Initial Access, Defense Evasion, Persistence, Privilege Escalation - Valid Accounts: Default Accounts T1078.001

Initial Access - Drive-by Compromise T1189

Defense Evasion - Masquerading T1036

Credential Access - Brute Force T1110

Discovery - Network Service Discovery T1046

Command and Control - Proxy: External Proxy T1090.002

参考文献

  1. https://blog.360totalsecurity.com/en/purple-fox-trojan-burst-out-globally-and-infected-more-than-30000-users/
  2. https://www.trendmicro.com/en_us/research/19/i/purple-fox-fileless-malware-with-rookit-component-delivered-by-rig-exploit-kit-now-abuses-powershell.html
  3. https://www.akamai.com/blog/security/purple-fox-rootkit-now-propagates-as-a-worm
  4. https://www.foregenix.com/blog/an-overview-on-purple-fox
  5. https://www.trendmicro.com/en_sg/research/21/j/purplefox-adds-new-backdoor-that-uses-websockets.html
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著者について
Piramol Krishnan
Cyber Security Analyst

$70 Million in Cyber Security Funding for Electric Cooperatives & Utilities

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22
Nov 2023

What is the Bipartisan Infrastructure Deal?

The Bipartisan Infrastructure Law passed by congress in 2021 aimed to upgrade power and infrastructure to deliver clean, reliable energy across the US to achieve zero-emissions. To date, the largest investment in clean energy, the deal will fund new programs to support the development and deployment of clean energy technology.

Why is it relevant to electric municipalities?

Section 40124 of the Bipartisan Infrastructure Law allocates $250 million over a 5-year period to create the Rural and Municipal Utility Cybersecurity (RMUC) Program to help electric cooperative, municipal, and small investor-owned utilities protect against, detect, respond to, and recover from cybersecurity threats.1 This act illuminates the value behind a full life-cycle approach to cyber security. Thus, finding a cyber security solution that can provide all aspects of security in one integrated platform would enhance the overall security posture and ease many of the challenges that arise with adopting multiple point solutions.

On November 16, 2023 the Office of Cybersecurity, Energy Security, and Emergency Response (CESER) released the Advanced Cybersecurity Technology (ACT) for electric utilities offering a $70 million funding opportunity that aims to enhance the cybersecurity posture of electric cooperative, municipal, and small investor-owned utilities.

Funding Details

10 projects will be funded with application submissions due November 29, 2023, 5:00 pm ET with $200,000 each in cash prizes in the following areas:

  1. Direct support for eligible utilities to make investments in cybersecurity technologies, tools, training, and improvements in utility processes and procedures;
  2. Funding to strengthen the peer-to-peer and not-for-profit cybersecurity technical assistance ecosystem currently serving eligible electric utilities; and
  3. Increasing access to cybersecurity technical assistance and training for eligible utilities with limited cybersecurity resources. 2

To submit for this award visit: https://www.herox.com/ACT1Prize

How can electric municipalities utilize the funding?

While the adoption of hybrid working patterns increase cloud and SaaS usage, the number of industrial IoT devices also continues to rise. The result is decrease in visibility for security teams and new entry points for attackers. Particularly for energy and utility organizations.

Electric cooperatives seeking to enhance their cyber security posture can aim to invest in cyber security tools that provide the following:

Compliance support: Consider finding an OT security solution that maps out how its solutions and features help your organization comply with relevant compliance mandates such as NIST, ISA, FERC, TSA, HIPAA, CIS Controls, and more.

Anomaly based detection: Siloed security solutions also fail to detect attacks that span
the entire organization. Anomaly-based detection enhances an organization’s cyber security posture by proactively defending against potential attacks and maintaining a comprehensive view of their attack surface.

Integration capabilities: Implementation of several point solutions that complete individual tasks runs the risk of increasing workloads for operators and creates additional challenges with compliance, budgeting, and technical support. Look for cyber security tools that integrate with your existing technologies.

Passive and active asset tracking: Active Identification offers accurate enumeration, real time updates, vulnerability assessment, asset validation while Passive Identification eliminates the risk of operational disruption, minimizes risk, does not generate additional network traffic. It would be ideal to find a security solution that can do both.

Can secure both IT and OT in unison: Given that most OT cyber-attacks actually start in IT networks before pivoting into OT, a mature security posture for critical infrastructure would include a single solution for both IT and OT. Separate solutions for IT and OT present challenges when defending network boundaries and detecting incidents when an attacker pivots from IT to OT. These independent solutions also significantly increase operator workload and materially diminish risk mitigation efforts.

Darktrace/OT for Electric Cooperatives and Utilities

For smaller teams with just one or two dedicated employees, Darktrace’s Cyber AI Analyst and Investigation features allow end users to spend less time in the platform as it compiles critical incidents into comprehensive actionable event reports. AI Analyst brings all the information into a centralized view with incident reporting in natural language summaries and can be generated for compliance reports specific to regulatory requirements.  

For larger teams, Darktrace alerts can be forwarded to 3rd party platforms such as a SIEM, where security team decision making is augmented. Additionally, executive reports and autonomous response reduce the alert fatigue generally associated with legacy tools. Most importantly, Darktrace’s unique understanding of normal allows security teams to detect zero-days and signatureless attacks regardless of the size of the organization and how alerts are consumed.

Key Benefits of Darktrace/OT

Figure 1: Darktrace/OT stops threats moving from IT to OT by providing a unified view across both systems

参考文献

1. https://www.whitehouse.gov/briefing-room/statements-releases/2021/11/06/fact-sheet-the-bipartisan-infrastructure-deal/

2. https://www.energy.gov/ceser/rural-and-municipal-utility-advanced-cybersecurity-grant-and-technical-assistance-rmuc

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著者について
Jeff Cornelius
EVP, Cyber-Physical Security

Good news for your business.
Bad news for the bad guys.

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柔軟な導入
仮想的にインストールすることも、ハードウェアでインストールすることも可能です。
迅速なインストール
設定時間はわずか1時間、メールセキュリティのトライアルはさらに短時間で完了します。
製品を選ぶ
クラウド、ネットワーク、Eメールなど、最も必要とされる領域で自己学習型AIの能力をお試しください。
購入義務なし
Darktrace Threat Visualizerと組織毎にカスタマイズされた3回の脅威レポートへのフルアクセスを提供しますが、購入の義務はありません。
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