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July 2, 2025

CVE公開前の脅威検知脆弱性が公開される前に悪意あるアクティビティを識別した10件の事例

DarktraceはAI駆動の異常検知を利用してCVEが公開される前にサイバー脅威を識別することができます。動作のパターンを分析することにより、Darktraceは組織がゼロデイエクスプロイトを初期段階で検知し封じ込めるのに役立ちます。このプロアクティブなアプローチにより、国家レベルの脅威アクター、ランサムウェアギャング、そして脅威ランドスケープ全体にわたり進化し続ける脅威に対してサイバーセキュリティ体制を強化することができます。
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.
Written by
Nathaniel Jones
VP, Security & AI Strategy, Field CISO
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02
Jul 2025

CVEの追跡だけでは不十分:コンテキストがきわめて重要である理由

脆弱性とは、攻撃者が不正にアクセスを取得したり、正常なオペレーションを妨害したりするために悪用することのできる、システム内のウィークポイントです。CVE(Common  Vulnerabilities and  Exposures)とは、公開されているサイバーセキュリティ脆弱性のリストであり、サイバーセキュリティコミュニティはこれを追跡してリスクを緩和します。

脆弱性が発見されると、標準的な手順としてはこれをベンダーまたは対応する組織に報告することにより、彼らはパッチまたは修正を作成して配布し、その後詳細を公開するというものです。これは、責任ある開示と呼ばれている方法です。

2024年には記録を塗り替える40,000件のCVEが報告され、Forum for Incident Response and  Security Teams (FIRST) によれば2025年にはそれを上回る件数が予測されている[1]  なかで、異常検知はこれらの潜在的リスクを識別するために不可欠です。ゼロデイのエクスプロイトと脆弱性の公開の間のギャップはかなり大きい場合もあり、ネットワーク上でエクスプロイトが行われていないかを遡及的に見つけ出そうとすることは、特にシグネチャベースのアプローチをとっている場合非常に困難です。

CVE公開に頼ることなく脅威を検知

普段とは異なるログインのパターンやデータ転送など、ネットワークやシステム内で発生した異常な動作は、サイバー攻撃が試みられている、内部関係者による脅威、あるいはシステムが侵害されている兆候である場合があります。Darktraceはルールやシグネチャに依存しないため、問題のデバイスまたはアセットについての完全なコンテキストがなくても、異常から悪意あるアクティビティを検知することができます。

たとえば、昨年末のFortinetに対するエクスプロイト攻撃発生時に、Darktraceの脅威リサーチチームはさまざまなFortinet脆弱性のエクスプロイト、特にCVE  2024-23113について調査していました。その頃MandiantがCVE  2024-47575に関するセキュリティアドバイザリを発行しましたが、その内容はDarktraceの調査結果と非常によく一致していました。

Darktraceの脅威調査チームはこのような回顧的分析によりさまざまな検知結果を広範な脅威ランドスケープに照らして理解し、さらなるコンテキストを追加するために利用しています。

以下は、脆弱性が公開される何日も前、場合によっては何週間も前にDarktraceが検知した昨年の10件の事例です。

ten examples from the past year where Darktrace detected malicious activity days or even weeks before a vulnerability was publicly disclosed.

CVE公開前のエクスプロイトの傾向

多くの場合、エクスプロイトされた脆弱性の開示は、高度な脅威アクターによるゼロデイを使った侵害に対する、インシデント対応調査の結果として行われます。脆弱性が登録され、エクスプロイトされたことが公表されると、攻撃者と防御者による攻撃  vs. パッチの競争が始まります。

高いスキルと豊富なリソースを持った国家アクターは、その目的を達成するためにさまざまな能力を駆使することで知られていますが、それにはゼロデイの利用も含まれます。多くのケースで、CVE公開前のアクティビティはローアンドスロー型で数か月も継続し、オペレーションの安全性は高い傾向にあります。CVE公開後は参入障壁が下がり、よりスキルの低い、リソースをあまり持たない攻撃者、たとえばランサムウェアギャングのようなグループでもその脆弱性を悪用することができ、大きな被害が発生します。エクスプロイトされた脆弱性の公開前、公開後において、異なる2つのタイプのアクティビティがみられることが多いのはそのためです。

ダークトレースはこの一連の流れを、昨年、前述のFortinetおよびPAN  OS脅威アクターによる攻撃のいくつかにおいても確認しています。国家アクターによる脆弱性のエクスプロイトが見られた後、ランサムウェアギャングが多くの組織に被害をもたらしていました  [2]

今年の春発生した、中国の脅威アクターが関係するSAP  Netweaverエクスプロイトでも、それに続いてランサムウェアインシデントが観測されており、同じ傾向がみられます[3]

自律遮断

異常ベースの検知は、CVE公開前であっても悪意あるアクティビティを識別できるという利点があります。しかし、セキュリティチームにはすばやく封じ込めアクティビティを隔離するという仕事が残っています。

たとえば、2025年前半に起こったIvanti連鎖エクスプロイト事案において、ある顧客は自社ネットワーク上でDarktraceの自律遮断機能を有効に設定していました。その結果、Darktraceは内部の接続をブロックし、影響を受けたデバイスに対して「生活パターン」を強制することにより、疑わしい接続をシャットダウンして攻撃を封じ込めることができました。

このDarktraceによる検知および対処はCVE公開の11日前に実行されており、異常ベースのアプローチの利点を実証しています。    

一部のケースでは、Darktraceがデバイスに対する悪意あるエクスプロイトを脆弱性が公開される数日前に阻止したことが報告されています。

たとえば、ConnectWiseに対するエクスプロイト攻撃発生時、ある顧客において、リモートアクセスを介して悪意あるソフトウェアがインストールされたことをDarktraceが検知しました。さらに調査を進めると4台のサーバーが影響を受けていることが判明し、その間、自律遮断機能がアウトバウンド接続をブロックし、影響を受けたデバイスに対して生活パターンを強制しました。

シグネチャを超えて:CVE公開前に異常を見つける

動作パターンを分析し続けることにより、ユーザー、システム、ネットワークから通常と異なるアクティビティを見つけ出し、セキュリティ侵害かもしれない異常を検知することができます。

継続的な監視とこれらの動作からの学習を通じて、異常ベースのセキュリティシステムは、従来のシグネチャベースのソリューションでは見過ごされてしまうかもしれない脅威を検知することができ、同時に脅威のTTP(Tactics,  Techniques and  Procedures)についての詳細な情報を提供することができます。このようなビヘイビアインテリジェンスによりCVE公開前の検知が可能になり、より適応性の高いセキュリティ体制の構築、および変化し続ける脅威ランドスケープに応じたシステムの進化が可能になります。

Darktraceの自己学習型AIアプローチ

10年以上にわたりサイバーセキュリティAIをリードしてきたDarktraceは、適切なAIを組み合わせて最適な結果を得るための専門技術を有しています。Darktraceの自己学習型AIは多層的なAIアプローチを使用して、それぞれの組織から学習することにより、脆弱性が公開される前、多くの場合何日も、あるいは何週間も前に、悪意あるアクティビティを検知し対処することができます。

機械学習、深層学習、LLM、自然言語処理を含む多様なAIテクニックを戦略的に組み合わせ、連続的、階層的に統合することにより、Darktraceの多層的AIアプローチはそれぞれの組織専用の、変化する脅威ランドスケープに適応する強力な防御メカニズムを提供します。

ベイズ学習やビヘイビアクラスタリングといったテクニックを用いて、Darktraceはさまざまなモデルを適応的に評価し、エンティティの動作を正確に理解することが可能です。このビヘイビア分析のレイヤーにより、特定のデバイスやシステムからのまばらなデータであっても、類似のエンティティの持つパターンを検知し動作を予測することが可能になります。AIはこの基準枠を絶えず調整し続け、動的な環境での有効性を維持します。

DarktraceのAIについてさらに詳しく知るには、サイバーセキュリティに対するAIのさまざまな応用を解説した AI  Arsenal (多層的AI装備)ホワイトペーパーをご覧ください。

参考資料:

  1. https://www.first.org/blog/20250607-Vulnerability-Forecast-for-2025
  2. https://cloud.google.com/blog/topics/threat-intelligence/fortimanager-zero-day-exploitation-cve-2024-47575
  3. https://thehackernews.com/2025/05/china-linked-hackers-exploit-sap-and.html

関連するDarktraceのブログ:

*顧客による報告後確認されたもの

**2024年1月に更新されたブログは最新データを反映

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.
Written by
Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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November 5, 2025

WSUS Exploited: Darktrace’s Analysis of Post-Exploitation Activities Related to CVE-2025-59287

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Introduction

On October 14, 2025, Microsoft disclosed a new critical vulnerability affecting the Windows Server Update Service (WSUS), CVE-2025-59287.  Exploitation of the vulnerability could allow an unauthenticated attacker to remotely execute code [1][6].

WSUS allows for centralized distribution of Microsoft product updates [3]; a server running WSUS is likely to have significant privileges within a network making it a valuable target for threat actors. While WSUS servers are not necessarily expected to be open to the internet, open-source intelligence (OSINT) has reported  thousands of publicly exposed instances that may be vulnerable to exploitation [2].

Microsoft’s initial ‘Patch Tuesday’ update for this vulnerability did not fully mitigate the risk, and so an out-of-band update followed on October 23 [4][5] . Widespread exploitation of this vulnerability started to be observed shortly after the security update [6], prompting CISA to add CVE-2025-59287 to its Known Exploited Vulnerability Catalog (KEV) on October 24 [7].

Attack Overview

The Darktrace Threat Research team have recently identified multiple potential cases of CVE-2025-59287 exploitation, with two detailed here. While the likely initial access method is consistent across the cases, the follow-up activities differed, demonstrating the variety in which such a CVE can be exploited to fulfil each attacker’s specific goals.

The first signs of suspicious activity across both customers were detected by Darktrace on October 24, the same day this vulnerability was added to CISA’s KEV. Both cases discussed here involve customers based in the United States.

Case Study 1

The first case, involving a customer in the Information and Communication sector, began with an internet-facing device making an outbound connection to the hostname webhook[.]site. Observed network traffic indicates the device was a WSUS server.

OSINT has reported abuse of the workers[.]dev service in exploitation of CVE-2025-59287, where enumerated network information gathered through running a script on the compromised device was exfiltrated using this service [8].

In this case, the majority of connectivity seen to webhook[.]site involved a PowerShell user agent; however, cURL user agents were also seen with some connections taking the form of HTTP POSTs. This connectivity appears to align closely with OSINT reports of CVE-2025-59287 post-exploitation behaviour [8][9].

Connections to webhook[.]site continued until October 26. A single URI was seen consistently until October 25, after which the connections used a second URI with a similar format.

Later on October 26, an escalation in command-and-control (C2) communication appears to have occurred, with the device starting to make repeated connections to two rare workers[.]dev subdomains (royal-boat-bf05.qgtxtebl.workers[.]dev & chat.hcqhajfv.workers[.]dev), consistent with C2 beaconing. While workers[.]dev is associated with the legitimate Cloudflare Workers service, the service is commonly abused by malicious actors for C2 infrastructure. The unusual connections to both webhook[.]site and workers[.]dev triggered multiple alerts in Darktrace, including high-fidelity Enhanced Monitoring alerts and Autonomous Response actions.

Infrastructure insight

Hosted on royal-boat-bf05.qgtxtebl.workers[.]dev is a Microsoft Installer file (MSI) named v3.msi.

Screenshot of v3.msi content.
Figure 1: Screenshot of v3.msi content.

Contained in the MSI file is two Cabinet files named “Sample.cab” and “part2.cab”. After extracting the contents of the cab files, a file named “Config” and a binary named “ServiceEXE”. ServiceEXE is the legitimate DFIR tool Velociraptor, and “Config” contains the configuration details, which include chat.hcqhajfv.workers[.]dev as the server_url, suggesting that Velociraptor is being used as a tunnel to the C2. Additionally, the configuration points to version 0.73.4, a version of Velociraptor that is vulnerable to CVE-2025-6264, a privilege escalation vulnerability.

 Screenshot of Config file.
Figure 2: Screenshot of Config file.

Velociraptor, a legitimate security tool maintained by Rapid7, has been used recently in malicious campaigns. A vulnerable version of tool has been used by threat actors for command execution and endpoint takeover, while other campaigns have used Velociraptor to create a tunnel to the C2, similar to what was observed in this case [10] .

The workers[.]dev communication continued into the early hours of October 27. The most recent suspicious behavior observed on the device involved an outbound connection to a new IP for the network - 185.69.24[.]18/singapure - potentially indicating payload retrieval.

The payload retrieved from “/singapure” is a UPX packed Windows binary. After unpacking the binary, it is an open-source Golang stealer named “Skuld Stealer”. Skuld Stealer has the capabilities to steal crypto wallets, files, system information, browser data and tokens. Additionally, it contains anti-debugging and anti-VM logic, along with a UAC bypass [11].

A timeline outlining suspicious activity on the device alerted by Darktrace.
Figure 3: A timeline outlining suspicious activity on the device alerted by Darktrace.

Case Study 2

The second case involved a customer within the Education sector. The affected device was also internet-facing, with network traffic indicating it was a WSUS server

Suspicious activity in this case once again began on October 24, notably only a few seconds after initial signs of compromise were observed in the first case. Initial anomalous behaviour also closely aligned, with outbound PowerShell connections to webhook[.]site, and then later connections, including HTTP POSTs, to the same endpoint with a cURL user agent.

While Darktrace did not observe any anomalous network activity on the device after October 24, the customer’s security integration resulted in an additional alert on October 27 for malicious activity, suggesting that the compromise may have continued locally.

By leveraging Darktrace’s security integrations, customers can investigate activity across different sources in a seamless manner, gaining additional insight and context to an attack.

A timeline outlining suspicious activity on the device alerted by Darktrace.
Figure 4: A timeline outlining suspicious activity on the device alerted by Darktrace.

Conclusion

Exploitation of a CVE can lead to a wide range of outcomes. In some cases, it may be limited to just a single device with a focused objective, such as exfiltration of sensitive data. In others, it could lead to lateral movement and a full network compromise, including ransomware deployment. As the threat of internet-facing exploitation continues to grow, security teams must be prepared to defend against such a possibility, regardless of the attack type or scale.

By focussing on detection of anomalous behaviour rather than relying on signatures associated with a specific CVE exploit, Darktrace is able to alert on post-exploitation activity regardless of the kind of behaviour seen. In addition, leveraging security integrations provides further context on activities beyond the visibility of Darktrace / NETWORKTM, enabling defenders to investigate and respond to attacks more effectively.

With adversaries weaponizing even trusted incident response tools, maintaining broad visibility and rapid response capabilities becomes critical to mitigating post-exploitation risk.

Credit to Emma Foulger (Global Threat Research Operations Lead), Tara Gould (Threat Research Lead), Eugene Chua (Principal Cyber Analyst & Analyst Team Lead), Nathaniel Jones (VP, Security & AI Strategy, Field CISO),

Edited by Ryan Traill (Analyst Content Lead)

Appendices

References

1.        https://nvd.nist.gov/vuln/detail/CVE-2025-59287

2.    https://www.bleepingcomputer.com/news/security/hackers-now-exploiting-critical-windows-server-wsus-flaw-in-attacks/

3.    https://learn.microsoft.com/en-us/windows-server/administration/windows-server-update-services/get-started/windows-server-update-services-wsus

4.    https://www.cisa.gov/news-events/alerts/2025/10/24/microsoft-releases-out-band-security-update-mitigate-windows-server-update-service-vulnerability-cve

5.    https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-59287

6.    https://thehackernews.com/2025/10/microsoft-issues-emergency-patch-for.html

7.    https://www.cisa.gov/known-exploited-vulnerabilities-catalog

8.    https://www.huntress.com/blog/exploitation-of-windows-server-update-services-remote-code-execution-vulnerability

9.    https://unit42.paloaltonetworks.com/microsoft-cve-2025-59287/

10. https://blog.talosintelligence.com/velociraptor-leveraged-in-ransomware-attacks/

11. https://github.com/hackirby/skuld

Darktrace Model Detections

·       Device / New PowerShell User Agent

·       Anomalous Connection / Powershell to Rare External

·       Compromise / Possible Tunnelling to Bin Services

·       Compromise / High Priority Tunnelling to Bin Services

·       Anomalous Server Activity / New User Agent from Internet Facing System

·       Device / New User Agent

·       Device / Internet Facing Device with High Priority Alert

·       Anomalous Connection / Multiple HTTP POSTs to Rare Hostname

·       Anomalous Server Activity / Rare External from Server

·       Compromise / Agent Beacon (Long Period)

·       Device / Large Number of Model Alerts

·       Compromise / Agent Beacon (Medium Period)

·       Device / Long Agent Connection to New Endpoint

·       Compromise / Slow Beaconing Activity To External Rare

·       Security Integration / Low Severity Integration Detection

·       Antigena / Network / Significant Anomaly / Antigena Alerts Over Time Block

·       Antigena / Network / Significant Anomaly / Antigena Enhanced Monitoring from Server Block

·       Antigena / Network / External Threat / Antigena Suspicious Activity Block

·       Antigena / Network / Significant Anomaly / Antigena Significant Server Anomaly Block

List of Indicators of Compromise (IoCs)

IoC - Type - Description + Confidence

o   royal-boat-bf05.qgtxtebl.workers[.]dev – Hostname – Likely C2 Infrastructure

o   royal-boat-bf05.qgtxtebl.workers[.]dev/v3.msi - URI – Likely payload

o   chat.hcqhajfv.workers[.]dev – Hostname – Possible C2 Infrastructure

o   185.69.24[.]18 – IP address – Possible C2 Infrastructure

o   185.69.24[.]18/bin.msi - URI – Likely payload

o   185.69.24[.]18/singapure - URI – Likely payload

The content provided in this blog is published by Darktrace for general informational purposes only and reflects our understanding of cybersecurity topics, trends, incidents, and developments at the time of publication. While we strive to ensure accuracy and relevance, the information is provided “as is” without any representations or warranties, express or implied. Darktrace makes no guarantees regarding the completeness, accuracy, reliability, or timeliness of any information presented and expressly disclaims all warranties.

Nothing in this blog constitutes legal, technical, or professional advice, and readers should consult qualified professionals before acting on any information contained herein. Any references to third-party organizations, technologies, threat actors, or incidents are for informational purposes only and do not imply affiliation, endorsement, or recommendation.

Darktrace, its affiliates, employees, or agents shall not be held liable for any loss, damage, or harm arising from the use of or reliance on the information in this blog.

The cybersecurity landscape evolves rapidly, and blog content may become outdated or superseded. We reserve the right to update, modify, or remove any content

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Emma Foulger
Global Threat Research Operations Lead

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October 24, 2025

Patch Smarter, Not Harder: Now Empowering Security Teams with Business-Aligned Threat Context Agents

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Most risk management programs remain anchored in enumeration: scanning every asset, cataloging every CVE, and drowning in lists that rarely translate into action. Despite expensive scanners, annual pen tests, and countless spreadsheets, prioritization still falters at two critical points.

Context gaps at the device level: It’s hard to know which vulnerabilities actually matter to your business given existing privileges, what software it runs, and what controls already reduce risk.

Business translation: Even when the technical priority is clear, justifying effort and spend in financial terms—especially across many affected devices—can delay action. Especially if it means halting other areas of the business that directly generate revenue.

The result is familiar: alert fatigue, “too many highs,” and remediation that trails behind the threat landscape. Darktrace / Proactive Exposure Management addresses this by pairing precise, endpoint‑level context with clear, financial insight so teams can prioritize confidently and mobilize faster.

A powerful combination: No-Telemetry Endpoint Agent + Cost-Benefit Analysis

Darktrace / Proactive Exposure Management now uniquely combines technical precision with business clarity in a single workflow.  With this release, Darktrace / Proactive Exposure Management delivers a more holistic approach, uniting technical context and financial insight to drive proactive risk reduction. The result is a single solution that helps security teams stay ahead of threats while reducing noise, delays, and complexity.

  • No-Telemetry Endpoint: Collects installed software data and maps it to known CVEs—without network traffic—providing device-level vulnerability context and operational relevance.
  • Cost-Benefit Analysis for Patching: Calculates ROI by comparing patching effort with potential exploit impact, factoring in headcount time, device count, patch difficulty, and automation availability.

Introducing the No-Telemetry Endpoint Agent

Darktrace’s new endpoint agent inventories installed software on devices and maps it to known CVEs without collecting network data so you can prioritize using real device context and available security controls.

By grounding vulnerability findings in the reality of each endpoint, including its software footprint and existing controls, teams can cut through generic severity scores and focus on what matters most. The agent is ideal for remote devices, BYOD-adjacent fleets, or environments standardizing on Darktrace, and is available without additional licensing cost.

Darktrace / Proactive Exposure Management user interface
Figure 1: Darktrace / Proactive Exposure Management user interface

Built-In Cost-Benefit Analysis for Patching

Security teams often know what needs fixing but stakeholders need to understand why now. Darktrace’s new cost-benefit calculator compares the total cost to patch against the potential cost of exploit, producing an ROI for the patch action that expresses security action in clear financial terms.

Inputs like engineer time, number of affected devices, patch difficulty, and automation availability are factored in automatically. The result is a business-aligned justification for every patching decision—helping teams secure buy-in, accelerate approvals, and move work forward with one-click ticketing, CSV export, or risk acceptance.

Darktrace / Proactive Exposure Management Cost Benefit Analysis
Figure 2: Darktrace / Proactive Exposure Management Cost Benefit Analysis

A Smarter, Faster Approach to Exposure Management

Together, the no-telemetry endpoint and Cost–Benefit Analysis advance the CTEM motion from theory to practice. You gain higher‑fidelity discovery and validation signals at the device level, paired with business‑ready justification that accelerates mobilization. The result is fewer distractions, clearer priorities, and faster measurable risk reduction. This is not from chasing every alert, but by focusing on what moves the needle now.

  • Smarter Prioritization: Device‑level context trims noise and spotlights the exposures that matter for your business.
  • Faster Decisions: Built‑in ROI turns technical urgency into executive clarity—speeding approvals and action.
  • Practical Execution: Privacy‑conscious endpoint collection and ticketing/export options fit neatly into existing workflows.
  • Better Outcomes: Close the loop faster—discover, prioritize, validate, and mobilize—on the same operating surface.

Committed to innovation

These updates are part of the broader Darktrace release, which also included:

1. Major innovations in cloud security with the launch of the industry’s first fully automated cloud forensics solution, reinforcing Darktrace’s leadership in AI-native security.

2. Darktrace Network Endpoint eXtended Telemetry (NEXT) is revolutionizing NDR with the industry’s first mixed-telemetry agent using Self-Learning AI.

3. Improvements to our OT product, purpose built for industrial infrastructure, Darktrace / OT now brings dedicated OT dashboard, segmentation-aware risk modeling, and expanded visibility into edge assets and automation protocols.

Join our Live Launch Event

When? 

December 9, 2025

What will be covered?

Join our live broadcast to experience how Darktrace is eliminating blind spots for detection and response across your complete enterprise with new innovations in Agentic AI across our ActiveAI Security platform. Industry leaders from IDC will join Darktrace customers to discuss challenges in cross-domain security, with a live walkthrough reshaping the future of Network Detection & Response, Endpoint Detection & Response, Email Security, and SecOps in novel threat detection and autonomous investigations.

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Kelland Goodin
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