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August 11, 2021

How One Email Compromised an Entire Logistics Company

A single phishing email led to a massive compromise at a logistics company in Europe. Discover the importance of email security with increasing SaaS usage.
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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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11
Aug 2021

Organizations are only as secure as their weakest link. In many cases, that weak link arises in the various cloud applications an organization relies on. Several high-profile groups including APT28 are known to exploit commonly-used passwords to bruteforce their way into businesses around the world. These ‘spray’ campaigns often target Microsoft Office 365 accounts and will only become more frequent as the use of SaaS increases.

This blog analyses how a single phishing email slipped under the radar of the gateway and other traditional tools in place, and eventually led to mass compromise at a logistics company in Europe.

Logistical nightmare

Logistics operators play a critical role across every industry sector. Managing the distribution of goods and services from the seller to the customer, they enable – or bottleneck – an efficient supply chain. Inevitably, logistics companies have become an attractive target for cyber-criminals, due to the high number of organizations they interact with, the pressure they’re under to deliver on time, and the sensitive data they often handle.

It is a simple equation for attackers: do they put in the hard work to infiltrate 20 well-defended organizations, or compromise just one, and from there gain access to all 20 or more? The majority of cyber-threats Darktrace has observed this year have gone for the latter – exploiting less protected third parties to gain a foothold across a range of businesses.

The vaccine supply in particular has fallen under attack, numerous times. Last autumn, threat actors infiltrated a German biomedical organization and launched a phishing campaign to harvest credentials and compromise several organizations involved in the COVID-19 cold chain.

Alongside ransomware, phishing attacks are one of the most pressing concerns facing the industry.

Breaking the chain

At a medium-sized logistics company, a user received one phishing email from a hijacked third party. The email came from a trusted source with a well established history of sending emails, so it easily passed the gateway.

Once the phishing email had reached the inbox, the user clicked on the malicious link and was led to a fake login page, where they were tricked into divulging their credentials.

Four days later, the attacker logged into the account from an unusual location, and proceeded to read files with sensitive information.

The next day, Darktrace detected a new email rule from another unusual location. Almost immediately, a large volume of outbound emails was sent from the account, all containing the suspicious link.

Figure 1: Timeline of the attack — the total dwell time was five days.

Supply and disrupt

Once you are inside an organization’s digital ecosystem, it is easy to move around and compromise more accounts. Most security tools and employees do not question an internal email sent by a trusted user, especially if the user is a senior figure with authority.

So, after this set of outbound emails, unusual activity from anomalous locations was duly seen on other company accounts. These users had been tricked into giving away their details from the emails supposedly sent by their colleague.

More sensitive customer files were read, followed by a second spike in outbound emails from these hijacked accounts.

This time, the emails were sent not internally, but to external contacts. The contacts likely were conducting business with the logistics company at the time, and so were used to receiving emails from the accounts.

In total, over 450 phishing emails were sent to a wide range of third parties. Many of these third parties in turn had their credentials compromised – repeating the cycle once again.

Figure 2: Cyber AI Analyst investigates the suspicious activity of a compromised user, providing a detailed summary with the unusual login location and actions carried out.

Hanging by a thread: The threat of third-party attacks

The source of the initial phishing email that kickstarted this attack was itself from a legitimate third party known to the customer, where presumably the same thing had occured.

This form of Vendor Email Compromise, which can be rinsed and repeated to form a vicious loop, is notoriously difficult for email security solutions to detect, and can lead to heavy reputational and financial damage. To complicate matters, acting against a suspicious email from a known sender can also cause severe business disruption if it turns out to be legitimate.

Because of this, security must move beyond the binary approach of ‘good’ and ‘bad’, towards a more holistic understanding of the contextual setting surrounding any email interaction.

Darktrace accurately detected the multiple anomalies when comparing it to other emails from senders of the same domain. It sent high-priority alerts to the security team, but could not prevent the email from reaching the inbox because it was only in detection mode.

Figure 3: Darktrace’s automatic summary of the initial phishing email gives an overview of the suspicious aspects of the email.

The phishing links during the attack used a third-party tool called Piktochart, designed to create various type of files such as infographics, charts, and forms. While Piktochart has several legitimate applications, it can also be exploited. Gateways thus have a hard time distinguishing between legitimate and malicious Piktochart links. In this case, the gateway rewrote the initial link for analysis, but did not identify it as malicious.

In comparison, Darktrace for Email easily identified the email to be suspicious because it noticed it was out of character for that particular sender, and because the link itself was suspicious. In active mode, the AI would have locked the link and moved the email to the Junk folder, effectively preventing the very first step of the attack and avoiding any further compromise.

Figure 4: Piktochart was rarely seen on the deployment up until this point – the domain was 100% rare. Darktrace therefore easily detected the anomalous nature of this third-party tool usage.

The butterfly effect

Most cyber-attacks begin with just a single point of entry – that is all an attacker requires. One phishing email can be enough to bring a whole supply chain to its knees. With 94% of cyber-attacks beginning in the inbox, and suppliers and vendors in constant communication over multiple SaaS platforms – including Microsoft Teams and Google Cloud – email security tools must be capable of detecting when a trusted third party is acting abnormally.

Especially with the rise of remote working, SaaS usage has surged in businesses worldwide and many have been forced to turn to cloud and SaaS to enable a flexible workforce. While there are obvious benefits, these additions have expanded the attack surface and stretched the limits of traditional security and human security teams.

When it comes to logistics companies – who often act as the middle man in global operations – credential harvesting not only has serious consequences for the customer, but for anyone in the customer’s email contacts, and can lead to major breaches for numerous people and businesses.

Figure 5: Darktrace’s user interface reveals the two spikes in outbound emails that were sent out by compromised company accounts.

Thanks to Darktrace analyst Emma Foulger for her insights on the above threat find.

Learn more about the threats facing logistics providers

Darktrace model detections:

  • SaaS / Compliance / New Email Rule
  • SaaS / Unusual Login and New Email Rule
  • Antigena Email models included
  • Unusual / Unusual Login Location and New Unknown Link
  • Link / Account Hijack Link
  • Link / Outlook Hijack
  • Internal Compromise / Recipient Surge from Unusual Login Location (outbound emails)
  • Internal Compromise / Recipient Surge with Suspicious Content (outbound emails)

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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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June 3, 2026

Stopping Stealth Attacks with Precision: How Núclea Prevented a Breach Without Disruption

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Núclea is a Brazilian data and technology company that supports the country’s financial system by delivering digital services exclusively to banks and financial institutions. Operating in an environment where trust, availability, and data integrity are critical, the company faces a threat landscape that has evolved rapidly—particularly with the rise of AI-driven cyberattacks.

Brazil has experienced a wave of successful cyber incidents targeting financial institutions, many of them enabled by insiders or compromised credentials. The result was a noticeable shift in attacker strategy: instead of focusing on end customers, threat actors began targeting the institutions and platforms that underpin the financial ecosystem itself.

“Attacks became far more directed and contextual,” explains Guilherme, who leads incident response within Núclea’s security platform engineering team. “They weren’t noisy or obviously malicious—they were precise, patient, and designed to blend into normal operations.”

That precision was on full display in January 2026, when Núclea faced one of the most convincing phishing attacks the team had seen.

A real attack, built on trust and context

The attack began with a seemingly routine email.

It was sent from a real Brazilian government institution, using legitimate infrastructure and valid credentials that were later confirmed to have been compromised. Núclea had an established, ongoing relationship with this organization, and the email’s language, tone, and subject matter aligned perfectly with the type of communication the recipient team handled every day.

Attached to the email was a PDF document containing content that looked entirely legitimate.

The problem? A single URL embedded inside that PDF.

“The message itself was correct. The sender was real. The context was familiar. Even the document content made sense,” Guilherme explains. “There was just one small element that didn’t belong.”

That small detail was enough to initiate a full attack chain.

What the attackers were trying to do

If clicked, the URL would have downloaded a malicious payload designed to:

  • Collect information about the user and device
  • Identify where the system was located within the financial ecosystem
  • Install remote access tools to maintain control
  • Deploy an infostealer to extract sensitive data
  • Execute anti-forensic scripts to erase traces of the intrusion

In other words, it was a carefully engineered operation designed for persistence and stealth, not immediate disruption.

The attack also employed urgency—a classic social engineering technique. When the link didn’t open as expected, employees requested assistance from the security team, insisting the document was important and needed to be accessed quickly.

This is precisely the kind of scenario where traditional security tools struggle: almost everything about the interaction is legitimate.

Where Darktrace made the difference

Instead of blocking the entire message or relying on known indicators of compromise, Darktrace focused on behavioral context.

Darktrace recognized:

  • That the sending organization was normally trusted
  • That the communication pattern matched historical behavior
  • That the PDF content itself was not suspicious

But it also identified that the URL embedded within the document deviated from established behavioral patterns.

Rather than disrupting business operations, Darktrace took precise action: it rewrote the URL, preventing the malicious download while leaving the rest of the email untouched.

“When we analyzed it afterward, it became clear how dangerous the attack would have been,” says Guilherme. “But it never progressed—because Darktrace acted at exactly the right point.”

Subsequent forensic analysis confirmed the payload’s malicious intent. The attack never succeeded.

Precision over disruption

For Núclea, this incident reinforced a critical lesson: modern attacks don’t always look malicious—they hide within normal activity.

“What stands out to me is the precision,” Guilherme says. “Darktrace doesn’t rely on big, obvious signals. It’s effective in situations that fall outside the standard patterns we all know.”

Building resilience in a high trust ecosystem

For Núclea, cybersecurity is not just a defensive measure—it’s a business enabler.

Availability failures or successful breaches in the financial ecosystem can have immediate, large-scale consequences, from financial loss to reputational damage. Preventing those outcomes protects not just Núclea, but its partners and customers as well.

“Cyber resilience means keeping the business running—even under attack,” Guilherme explains. “And that requires people, processes, and technology working together.”

As AI continues to accelerate both attacks and defenses, the role of security is evolving. Precision, behavioral understanding, and intelligent automation are no longer optional—they’re essential.

“The easy days were yesterday,” Guilherme says. “The challenges ahead are bigger. We need to be prepared—internally and with partners that help us build resilience.”

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June 2, 2026

効率化の裏にあるリスク:AI導入が製造現場にもたらす見えない脆弱性

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AIエージェントが製造業に与える影響

製造業界のセキュリティチームやIT担当者は、生産を守り、稼働時間を維持し、重要資産を保護するという絶え間ないプレッシャー下にあります。そしてAIは非常に大きなチャンスとともに、新たなサイバーリスクももたらしています。製造業全体で、AIはワークフローや意思決定に組み込まれつつあり、自律型AIエージェントが従業員やシステムに代わって行動する場面が増えています。

エージェント型システムは独立して行動できるため強力ですが、その同じ自律性がサイバーリスク、運用上のリスクも生み出します。エージェントは広範な権限を持ち、複雑なタスクの実行、意思決定、ツールや外部システムとのやり取りを、ほとんどまたは全く人間の介入なしに行うことができます。

あらかじめ定義されたタスクを実行する従来のAIモデルとは異なり、AIエージェントは高度なテクニックを使用して人間の意思決定プロセスを模倣することにより、新たな課題に動的に適応し、また自らの判断に基づいて意思決定し、アクションを実行します。彼らは業務の上では従業員のように見えますが、人間が持つ判断力、倫理観、または行動の結果に対する恐れが欠けています。これは、サイバー犯罪者によって簡単に操られる可能性があることを意味しており、OTネットワーク全体に埋め込まれたAIエージェントは、データ漏洩をはるかに超える脅威を生み出します。たとえば、BMWでは、AI は溶接プロセスのエラーの発生を識別するのに使われています。同社のスパータンバーグ(米サウスカロライナ州)の工場では、すべてのSUVフレーム上の300-400個のスタッドの溶接をAIが監視し、スタッドの配置間違いや欠陥を検知し直ちに修正します。このAIシステムが破損すれば壊滅的な品質管理問題につながる恐れがあります。

製造全体にエージェント型AIシステムを導入することについて多くのセキュリティチームはさまざまな懸念を示しています。ダークトレースの行ったAIサイバーセキュリティの現状調査では、製造業のセキュリティプロフェッショナルの78%が従業員によるAIエージェントの利用に懸念を抱いており、これは彼らの最も大きな危惧でした。それに続く問題点が従業員によるCopilotやChatGPT等の生成AIツールの使用であり、製造業のセキュリティプロフェッショナルの76%が懸念を抱いていました。これらのツールがますます多くのビジネスデータやプロセスにアクセスし、組織内でより多くの自律性を持つようになるにつれ、エージェントのアクティビティがほとんど可視化されていない現在、セキュリティチームにおいては機密データの露出(60%)や偶発的なポリシーおよび規制違反(59%)への懸念が高まっています。

外部からのAIによる脅威も急激に進化

製造業を変革しているのと同じAIの能力が、サイバー攻撃の形も変貌させています。

AIにより攻撃者は偵察を自動化し、標的をより高度に絞り込み、リアルタイムで適応できるようになっています。かつては人手による作業と時間を要していたことが、今では継続的かつ大規模に実行できるようになりました。そして、製造業はすでにその影響を実感しています。当社が調査した製造業のセキュリティプロフェッショナルの76%は、すでにAIを活用した脅威の影響を受けており、90%がAIによってソーシャルエンジニアリング攻撃の成功率が高まっていると回答しています。

また、攻撃のテクニック自体も進化しています。製造業界全体で、AIを利用した攻撃の経路の多様化に対する懸念が高まっています。特にリアルタイムで進化する適応型マルウェアについて、調査対象の製造業のセキュリティプロフェッショナルの半数近く(49%)が懸念しており、これは全産業の平均よりも9%高い数値です。AIを使った適応型マルウェアに続くその他の懸念には次が含まれます:

  • 自動化された脆弱性スキャンとエクスプロイトチェイニング(48%):Anthropicの新しいMythos AIモデルにより脆弱性探索が深刻化する中で、この問題は一層差し迫ったものとなっています。
  • 超パーソナライズされたフィッシングキャンペーン(46%):フィッシングは依然としてハッカーの主力兵器の1つであり、AIによってフィッシングメールはより説得力が高く検知困難なものとなり、その効果は増幅されました。

これは単に攻撃の量の増加だけでなく、攻撃の展開につれて静的な防御が対応できるよりも速く進化する脅威への変化なのです。

こうした認識が高まっているにもかかわらず、製造業の多くはまだこの変化に対応する準備ができていません。半数以上(51%)がAI駆動の脅威への準備が十分にできていないと回答し、AIの導入を管理する正式なポリシーを持っている組織はわずか37%でした。  

可視性、コンテキスト、およびガードレールを通じてAIのセキュリティを確保

これらの問題に対処するためにAIイノベーションを遅らせる必要はありません。それには、AIと同じスピードと規模で動作できる、これまでとは異なるアプローチのセキュリティが必要です。具体的には、製造業がAIの力を活用する上で、次の3つの優先課題が浮上しています。

可視性はすべての土台  

AIがどこで使用されているか、何にアクセスできるか、そしてITおよびOT環境にわたってどのように動作するかを理解する必要があります。それがなければ、リスクを測定したり管理したりすることはできません。ダークトレースの調査において、製造業のセキュリティプロフェッショナルの91%が、AIを信頼する前に、それがどのように意思決定を行うかを理解する必要があると回答したのは当然のことです。OT環境においてこのことはさらに重要です。稼働の中断は安全や環境、財務、および評判に大きな影響を及ぼすからです。

可視性をアクションにつなげるにはコンテキストが必要  

AIによって形作られる環境において、正常とされる挙動は絶えず変化します。つまり、脅威を検知するにはビヘイビアベースのアプローチが必要なのです。組織全体で生活パターンを理解し、わずかな逸脱をリアルタイムに検知すること- これは従来のセキュリティとリスク管理に対するアプローチからの根本的な変化です。

エージェントからの露出を防ぐガードレール  

AIシステムがより大きな責任を担うようになるなかで、組織はAIが何をできるか、そしていつ独立して行動できるかについて、明確な境界を設ける必要があります。これらのコントロールは何かがあってから適用されるのではなく、システム自体に組み込んでおかなければなりません。  

製造業のITおよびOT環境におけるAIエージェントのセキュリティ

エージェント型AIの出現は製造業を変革し、次世代のオペレーションを支える一方で、脅威ランドスケープも一変させています。これは単なる脅威の増加ではなく、自律型システムへの移行、挙動の絶え間ない変化、そしてマシンスピードで進行するリスクです。AIを活用しつつリスクを管理するという課題に取り組む組織にとって、可視性、コンテキスト、ガードレールはセキュリティの基盤となります。

Darktraceはこの基盤を実現することにより、製造業の安全なAIアプローチ構築を支援します。ITおよびOT環境全体を可視化し、異常なアクティビティに対するリアルタイムの検知および対応を提供することにより、従業員が使用するプロンプトや構築するエージェントから、それらのエージェントの環境全体での動作に至るまで、AIアクティビティの理解を可能にします。これにより、AIの導入を拡大する製造業はコントロールを犠牲にすることなくイノベーションの基盤を構築することができます。

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About the author
Dr. Oakley Cox-Robinson
Senior Director of Product
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