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January 9, 2025

Detecting and Mitigating Adversary-in-the-Middle Phishing Attacks with Darktrace Services

Threat actors often use advanced phishing toolkits and Adversary-in-the-Middle (AitM) attacks in Business Email Compromise (BEC) campaigns, Discover how Darktrace detected and mitigated a sophisticated attack leveraging Dropbox, highlighting the importance of robust cybersecurity measures.
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
Justin Torres
Cyber Analyst
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09
Jan 2025

What is an Adversary-in-the-Middle Attack?

Threat actors are increasingly utilizing advanced phishing toolkits and techniques to carry out Adversary-in-the-Middle (AitM) attacks. These attacks involve the use of a proxy to a legitimate service, where the attacker’s webpage mimics the expected site. While the victim believes they are visiting the legitimate site, they are actually interacting with the attacker’s device, allowing the malicious actor to monitor all interactions and control the authenticated session, ultimately gaining access to the user’s account [1][2].

This blog will explore how Darktrace detected AitM techniques being leveraged in a Business Email Compromise (BEC) attack that used the widely used and trusted cloud storage service, Dropbox, for delivery. Dropbox’s popularity has made it a prime target for attackers to exploit in recent years. Threat actors can exploit the service for various malicious activities, including distributing malware and exposing sensitive information.

Attack Overview

In these types of AitM BEC attacks, recipients are often targeted with Dropbox-related emails, featuring subject headings like ‘FirstLast shared "Filename" with you,’ which suggest an individual is sharing an invoice-related attachment. These email subjects are common in such attacks, as threat actors attempt to encourage victims to access Dropbox links by masquerading them as legitimate files.

While higher priority users are, of course, targeted, the scope of these attacks remains broad. For instance, if a lower priority user is targeted by a phishing attack or their token is stolen, an attacker can still attempt BEC for further malicious intent and financial gain.

In October 2024, a Darktrace customer received a phishing email from a seemingly legitimate Dropbox address. This email originated from the IP, 54.240.39[.]219 and contained multiple link payloads to Dropbox-related hostnames were observed, inviting the user to access a file. Based on anomaly indicators and detection by Darktrace / EMAIL, Darktrace recognized that one of the payloads was attempting to abuse a legitimate cloud platform to share files or other unwanted material with the recipient.

Overview of the malicious email in the Darktrace / EMAIL console, highlighting Dropbox associated content/link payloads.
Figure 1: Overview of the malicious email in the Darktrace / EMAIL console, highlighting Dropbox associated content/link payloads.

Following the recipient’s engagement with this email, Darktrace / IDENTITY identified a series of suspicious activities within the customer’s environment.

AitM attacks allow threat actors to bypass multi-factor authentication (MFA). Initially, when a user is phished, the malicious infrastructure captures both the user’s credentials and the token. This includes replaying a token issued to user that has already completed the MFA requirement, allowing the threat actor to satisfy the validity of the requirement and gain access to sensitive organizational resources. Darktrace is able to analyze user activity and authentication patterns to determine whether MFA requirements were met. This capability helps verify and indicate token theft via AitM.

Darktrace observed the associated user account making requests over Microsoft 365 from the IP 41.90.175[.]46. Given the unusual nature and rare geolocation based in Kenya, Africa, this activity did not appear indicative of legitimate business operations.

Geographical location of the SaaS user
Figure 2: Geographical location of the SaaS user in relation to the source IP 41.90.175[.]46.

Further analysis using open-source intelligence (OSINT) revealed that the endpoint was likely associated with a call-back proxy network [3]. This suggested the presence of a network device capable of re-routing traffic and harvesting information.

Darktrace also detected that the same SaaS user was logging in from two different locations around the same time. One login was from a common, expected location, while the other was from an unusual location. Additionally, the user was observed registering security information using the Microsoft Authenticator app, indicating an attempt by an attacker to maintain access to the account by establishing a new method of MFA. This new MFA method could be used to bypass future MFA requirements, allowing the attacker to access sensitive material or carry out further malicious activities.

External sites summary for the SaaS account in relation to the source IP 13.74.161[.]104, observed with Registering Security Information.
Figure 3: External sites summary for the SaaS account in relation to the source IP 13.74.161[.]104, observed with Registering Security Information.

Ultimately, this anomalous behavior was escalated to the Darktrace Security Operations Centre (SOC) via the Managed Detection & Response service for prompt triage and investigation by Darktrace’s SOC Analysts who notified the customer of strong evidence of compromise.

Fortunately, since this customer had Darktrace enabled in Autonomous Response mode, the compromised SaaS account had already been disabled, containing the attack. Darktrace’s SOC elected to extend this action to ensure the malicious activity remained halted until the customer could take further remedial action.

Attack timeline of observed activity, in chronological order; This highlighted anomalous SaaS events such as, MailItemsAccessed’, ‘Use of Unusual Credentials’, ‘User Registered Security Info’ events, and a ‘Disable User’ Autonomous Response action.
Figure 4: Attack timeline of observed activity, in chronological order; This highlighted anomalous SaaS events such as, MailItemsAccessed’, ‘Use of Unusual Credentials’, ‘User Registered Security Info’ events, and a ‘Disable User’ Autonomous Response action.

Conclusion

AitM attacks can play a crucial role in BEC campaigns. These attacks are often part of multi-staged operations, where an initial AitM attack is leveraged to launch a BEC by delivering a malicious URL through a trusted vendor or service. Attackers often attempt to lay low on their target network, sometimes persisting for extended periods, as they monitor user accounts or network segments to intercept sensitive communications.

In this instance, Darktrace successfully identified and acted against AitM techniques being leveraged in a BEC attack that used Dropbox for delivery. While Dropbox is widely used for legitimate purposes, its popularity has also made it a target for exploitation by threat actors, who have used it for a variety of malicious purposes, including delivering malware and revealing sensitive information.

Darktrace’s Security Operations Support service, combined with its Autonomous Response technology, provided timely and effective mitigation. Dedicated Security Operations Support analysts triaged the incident and implemented preventative measures, ensuring the customer was promptly notified. Meanwhile, Darktrace swiftly disabled the compromised SaaS account, allowing the customer to take further necessary actions, such as resetting the user’s password.

This case highlights the capabilities of Darktrace’s solutions, enabling the customer to resume normal business operations despite the malicious activity.

Credit to Justin Torres (Senior Cyber Analyst), Stefan Rowe (Technical Director, SOC) and Ryan Traill (Analyst Content Lead)

Appendices

References

1.    https://www.proofpoint.com/us/threat-reference/man-in-the-middle-attack-mitm

2.    https://thehackernews.com/2024/08/how-to-stop-aitm-phishing-attack.html

3.    https://spur.us/context/41.90.175.46

Darktrace Model Detections

Darktrace / NETWORK Model Alert(s):

SaaS / Compromise::SaaS Anomaly Following Anomalous Login

SaaS / Unusual Activity::Multiple Unusual SaaS Activities

SaaS / Compromise::Unusual Login and Account Update

SaaS / Compromise::Login From Rare Endpoint While User Is Active

SaaS / Access::Unusual External Source for SaaS Credential Use

SaaS / Email Nexus::Unusual Login Location Following Link to File Storage

SaaS / Access::MailItemsAccessed from Rare Endpoint

Darktrace/Autonomous Response Model Alert(s):

Antigena / SaaS::Antigena Suspicious SaaS Activity Block

List of Indicators of Compromise (IoCs)

(IoC - Type - Description)

41.90.175[.]46 – Source IP Observed with Suspicious Login Behavior

MITRE ATT&CK Mapping

(Technique Name - Tactic - ID - Sub-Technique of)

Cloud Accounts - DEFENSE EVASION, PERSISTENCE, PRIVILEGE ESCALATION, INITIAL ACCESS - T1078.004 - T1078

Email Accounts - RESOURCE DEVELOPMENT - T1586.002 - T1586

Cloud Service Dashboard - DISCOVERY - T1538

Compromise Accounts - RESOURCE DEVELOPMENT - T1586

Steal Web Session Cookie - CREDENTIAL ACCESS - T1539

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
Justin Torres
Cyber Analyst

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December 4, 2025

How Darktrace is ending email security silos with new capabilities in cross-domain detection, DLP, and native Microsoft integrations

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A new era of reputation-aware, unified email security

Darktrace / EMAIL is redefining email defense with new innovations that close email security silos and empower SOC teams to stop multi-stage attacks – without disrupting business operations.  

By extending visibility across interconnected domains, Darktrace catches the 17% of threats that leading SEGs miss, including multi-stage attacks like email bombing and cloud platform abuse. Its label-free behavioral DLP protects sensitive data without reliance on manual rules or classification, while DMARC strengthens brand trust and authenticity. With native integrations for Microsoft Defender and Security Copilot, SOC teams can now investigate and respond faster, reducing risk and maintaining operational continuity across the enterprise.

Summary of what’s new:

  • Cross-domain AI-native detection unifying email, identity, and SaaS
  • Label-free behavioral DLP for effortless data protection
  • Microsoft Defender and Security Copilot integrations for streamlined investigation and response

Why email security must evolve

Today’s attacks don’t stop at the inbox. They move across domains – email to identity, SaaS, and network – exploiting the blind spots between disconnected tools. Yet most email security solutions still operate in isolation, unable to see or respond beyond the message itself.

In 2024, Darktrace detected over 30 million phishing attempts: 38% targeting high-value individuals and almost a third using novel social engineering, including AI-generated text. Generative AI is amplifying the realism and scale of social engineering, while customers face a wave of new techniques like email bombing, where attackers flood inboxes to distract or manipulate users, and polymorphic malware, which continuously evolves to evade static defenses.

Meanwhile, defenders are exposed to traditional DLP tools that create operational drag with high false positives and rigid policies. Accidental insider breachers remain a major risk to organizations: 6% of all data breaches are caused by misdelivery, and 95% of those incidents involve personal data.

Tool sprawl compounds the issue. The average enterprise manages around 75 security products, and 69% report operational strain as a result. This complexity is counterproductive – and with legacy SEGs failing to adapt to detect threats that exploit human behavior, analysts are left juggling an unwieldy patchwork of fragmented defenses.

The bottom line? Siloed email defenses can’t keep pace with today’s AI-driven, cross domain attacks.

Beyond detection: AI built for modern threats

Darktrace / EMAIL is uniquely designed to catch the threats SEGs miss, powered by Self-Learning AI. It learns the communication patterns of every user – correlating behavioral signals from email, identity, and SaaS – to identify the subtle, context-driven deviations that define advanced social engineering and supply chain attacks.

Unlike tools that rely on static rules or historical attack data, Darktrace’s AI assumes a zero trust posture, treating every interaction as a potential risk. It detects novel threats in real time, including those that exploit trusted relationships or mimic legitimate business processes. And because Darktrace’s technology is natively unified, it delivers precise, coordinated responses that neutralize threats in real time.

Powerful innovations to Darktrace / EMAIL

Improved, multi-domain threat detection and response

With this update, Darktrace reveals multi-domain detection linking behavioral signals across email, identity, and SaaS to uncover advanced attacks. Darktrace leverages its existing agentic platform to understand behavioral deviations in any communication channel and take precise actions regardless of the domain.  

This innovation enables customers to:

  • Correlate behavioral signals across domains to expose cross-channel threats and enable coordinated response
  • Link email and identity intelligence to neutralize multi-stage attacks, including advanced email bombing campaigns

Detection accuracy is further strengthened through layering with traditional threat intelligence:

  • Integrated antivirus verdicts improve detection efficacy by adding traditional file scanning
  • Structured threat intelligence (STIX/TAXII) enriches alerts with global context for faster triage and prioritization

Expanded ecosystem visibility also includes:

  • Salesforce integration, enabling automatic action on potentially malicious tickets auto-created from emails – accelerating threat response and reducing manual burden

Advancements in label-free DLP

Darktrace is delivering the industry’s first label-free data loss prevention (DLP) solution powered by a proprietary domain specific language model (DSLM).  

This update expands DLP to protect against both secrets and personally identifiable information (PII), safeguarding sensitive data without relying on status rules or manual classification. The DSLM is tuned for email/DLP semantics so it understands entities, PII patterns, and message context quickly enough to enforce at send time.

Key enhancements include:

  • Behaviorally enhanced PII detection that automatically defines over 35+ new categories, including personal, financial, and health data  
  • Added detail to DLP alerts in the UI, showing exactly how and when DLP policies were applied
  • Enhanced Cyber AI Analyst narratives to explain detection logic, making it easier to investigate and escalate incidents

And for further confidence in outbound mail, discover new updates to DMARC, with support for BIMI logo verification, automatic detection of both MTA-STS and TLS records, and data exports for deeper analysis and reporting. Accessible for all organizations, available now on the Azure marketplace.

Streamlined SOC workflows, with Microsoft-native integrations

This update introduces new integrations that simplify SOC operations, unify visibility, and accelerate response. By embedding directly into the Microsoft ecosystem – with Defender and Security Copilot – analysts gain instant access to correlated insights without switching consoles.

New innovations include:

  • Unified quarantine management with Microsoft Defender, centralizing containment within the native Microsoft interface and eliminating console hopping
  • Ability to surface threat insights directly in Copilot via the Darktrace Email Analysis Agent, eliminating data hunting and simplifying investigations
  • Automatic ticket creation in JIRA when users report suspicious messages
  • Sandbox analysis integration, enabling payload inspection in isolated environments directly from the Darktrace UI

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. Redefining NDR with industry-first autonomous threat investigation from network to endpoint  
  3. Innovations to our suite of Exposure Management & Attack Surface Management tools

As attackers exploit gaps between tools, the Darktrace ActiveAI Security Platform delivers unified detection, automated investigation, and autonomous response across cloud, endpoint, email, network, and OT. With full-stack visibility and AI-native workflows, Darktrace empowers security teams to detect, understand, and stop novel threats before they escalate.

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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About the author
Carlos Gray
Senior Product Marketing Manager, Email

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December 4, 2025

The 17% of email threats SEGs miss – and how Darktrace catches them

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17%: The figure that changes your risk math

Most organizations deploy a Secure Email Gateway (SEG) assuming it will catch whatever their native email security provider would not be able to. But the data tells a different story. Nearly one in six of the riskiest inbound emails still evade the native + SEG layers on the first pass – 17% is the average SEG miss rate after Microsoft filtering.  

How did we calculate the miss rate? The figure comes from a volume-weighted analysis of real-world enterprise deployments where Darktrace operated alongside a SEG, compared to deployments without a SEG. It’s based on how each security layer treated malicious emails on the first instance – if the SEG missed the email at the initial filtering but caught it minutes or hours later we considered it a miss, because the threat had already been exposed to the user. We computed the mean per category miss count across the top three widely deployed SEGs and divided that by the total number of threats that had already bypassed native filters. The resulting rate is 17.8%, conservatively communicated as “about 17%.”

This result is a powerful directional signal – not a guarantee for every environment – but significant enough to merit a closer look.

What SEGs miss most (and why it matters)

Our analysis shows that SEGs most frequently miss context-driven, low-signal attacks.

Darktrace catches more threats than SEGs across a range of attack vectors

These are the kinds of emails that look convincing to recipients and rely on business context, without overtly malicious indicators, including:

Solicitation and fraudulent requests (~21% miss rate)

Deceptive invoices, vendor “updates,” payment term changes, or urgent favors. These messages often lack obvious payloads and exploit business process mimicry, making them nearly indistinguishable from genuine correspondence in the eyes of static, rule-based filters dependent on payload analysis. 22% of breaches stemming from external actors were a result of social engineering in 2025 (Verizon 2025 Data Breach Investigations Report).

Phishing links (~20% miss rate)

Links to credential harvesters or later-weaponized sites using new or compromised domains, redirects, or shorteners. URL rotation and staging evade list-based controls; the linguistic and workflow context looks routine. This also includes threats that leverage legitimate cloud platforms to disguise their intent and avoid reputation analysis.  Phishing remains one of the most expensive cause of breaches, an average cost of $4.8 million (IBM Cost of a Data Breach Report 2025).

User impersonation (~19% miss rate)

Convincing messages that mimic executives, colleagues, or partners, often with subtle display-name or address manipulation. These attacks rely on social engineering and context, bypassing static detection and reputation checks.

Other notable misses: Credential harvesting lures and forged/abused sender addresses, both typically light on static indicators but heavy on contextual clues. 

Why SEGs miss these emails

Let’s look at some of the reasons SEGs fail to catch more advanced, context-driven attacks.

  1. Attack-centric bias. SEGs excel at recognizing known-bad indicators (spam, commodity malware). But today’s high-impact threats are supercharged by AI and can be hyper-customized with polymorphic malware or personalized social engineering. They mirror normal business communications and weaponize trust, not binary patterns.  
  2. Limited behavioral understanding. Without modeling each user’s “normal” pattern of life, subtle anomalies (timing, tone, counterpart, transaction patterns) can look benign, even if they should be flagged. Some modern solutions have begun to incorporate behavioral analysis into their products, but these are still supplements for additional information rather than integrated into the core threat detection engine.
  3. Assumed trust. Account compromise and attacks that abuse legitimate services exploit trust. SEGs weren’t designed to handle these kinds of threats, in fact, they assume trust in order to minimize false positives, leaving them wide open to attackers.  
  4. Siloed detection. Email rarely tells the whole story. Attacks pivot across email, identity, and SaaS; single-channel tools can’t connect those dots in real time. This issue is exacerbated when email security vendors are only focused on email activity, ignoring activity beyond the inbox like network or cloud account activity.
  5. Adaptive evasion. Fast domain churn, benign-looking links, and clean hosting on trusted platforms routinely outpace static rules and blocklists. No matter how great your threat intelligence or threat research teams may be, there is a reliance on a first victim – which leads to defenders remaining one step behind attackers. 

How Darktrace / EMAIL catches the threats SEGs miss

Everywhere a SEG falters, Darktrace excels. Let’s take a look why.

  • Self-Learning AI: Darktrace learns the unique communication patterns of every user, department, and supplier, flagging the subtle deviations that typify social engineering and impersonation. 
  • A zero trust approach: According to Gartner, many organizations fail to extend their zero-trust strategy to email, leaving a critical gap. Darktrace assumes no trust, applying the zero trust principle across all aspects of email communication.
  • Cross-domain context: Correlates behavior across email, identity, and SaaS, exposing multi-stage campaigns that a siloed SEG can’t piece together. 
  • Better together with native providers: Operates alongside your native email security – not against it – so protection is additive. Darktrace ingests native signals and orchestrate unified quarantine without duplicating policy stacks or forcing you to disable built-in protections. 

For example: one of our customers, a global enterprise saw a surge of “document-share” notifications from a trusted collaboration platform. The domain and authentication looked fine; their SEG allowed it. Darktrace / EMAIL flagged it because the supplier’s sharing behavior and permission scope deviated from normal (volume, recipients, and access level). Follow-up confirmed the supplier account was compromised. Behavioral context – not rules or signatures – made the difference. 

Three steps to building a modern email security stack

Let’s end with three strategic takeaways for ensuring your email security is fit-for-purpose.

  1. Defense-in-depth = diversity, not duplication

Why it matters: Two security layers with the same detection philosophy (e.g. SEG + native email security) create overlapping blind spots. Both native email security providers and SEGs are attack-centric solutions that rely on past threats and threat intelligence. True defense-in-depth ensures you are asking different questions of every email that comes through.

How to apply: Pair your native email security with behavioral AI that learns how your business communicates. Eliminate redundant layers that only add cost and latency. 

  1. Coordinate the layers you keep

Why it matters:  Layers that don’t talk create delays and hand-offs; SEGs often become sole decision-makers by forcing native protections off. 

How to apply:  Favor an ICES approach that ingests native signals and can orchestrate unified quarantine, so detections become actions in one motion. 

  1. Quantify your security gap with a POV

Why it matters:  Every environment is different. You need evidence before making changes to your stack.

How to apply:  Run Darktrace / EMAIL in observe mode next to your current stack to surface exactly what’s still getting through. Use those results to plan your transition and measure improvement. 

Ready to claim 17% more protection? Request a demo with Darktrace / EMAIL to quantify what your SEG is missing, then decide how much of that residual risk you’re willing to accept. We’ll help you plan a clean, staged transition that preserves native protections and streamlines operations.  In the meantime, calculate your potential ROI using Darktrace / EMAIL with our handy calculator.

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About the author
Carlos Gray
Senior Product Marketing Manager, Email
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