Detection engineering is both a role and an activity. It’s the discipline of building and maintaining the logic that identifies malicious or risky behavior within your organization. It’s where security analysis meets software engineering, turning raw logs and telemetry into actionable detections that defenders can rely on.

Detection engineers bridge the gaps between security operations, threat intelligence, and infrastructure. They understand how attackers operate, how defenders respond, and how systems generate the data that supports those detections. A well-built detection can mean the difference between an alert that matters and one that drowns in noise.

Precision and Recall: The Balancing Act

Every detection faces a trade-off between precision and recall.

Precision measures how much you can trust your alerts: of everything that fired, how much was actually malicious? High precision = fewer false positives = analysts trust the tool.

Recall measures how much you’re catching: of everything malicious that happened, how much did you detect? High recall = fewer blind spots = threats don’t slip through.

Detection engineering lives in the tension between the two: too much precision risks missing subtle threats; too much recall floods analysts with false positives. The goal is calibration through testing, iteration, and feedback.

Core Components of Detection Engineering

1. Scoping and Prioritization

Start with intent. What are you trying to detect, and why? Define the threats, behaviors, or assets that matter most, then align your work with frameworks such as MITRE ATT&CK®. Evaluate risk and value to determine which detections provide the highest impact for the effort required. Prioritize based on business importance and available telemetry.

2. Data and Telemetry

Great detections rely on great data. Keep inventory of your logs. Validate that each contains the data you need. Normalize and enrich your logs so detections remain consistent across tools and environments. Understanding how logs are generated is essential to writing logic that fits your environment.

3. Detection Logic Development

This is where hypothesis meets code. Write queries or rules that detect behaviors, not just static indicators. Combine multiple approaches:

• Signatures for known indicators of compromise (IoCs)
• Behavioral logic for Tactics, Techniques, and Procedures (TTPs) and patterns
• Anomaly models for statistical outliers

4. Testing and Validation

Use adversary emulations or frameworks like Atomic Red Team to verify that your detections actually fire and your logging is working. Measure quality through precision, recall, and additional factors like confidence (how certain you are it’s malicious) and criticality (how severe the impact would be).

5. Deployment and Tuning

Monitor performance, including trigger frequency, false positive rates, and analyst response time. Detection engineering is iterative and ongoing, not “write once and done.”

6. Documentation and Knowledge Transfer

Good detections come with context. Record what the detection looks for, why it matters, what data it uses, and how it was tested. Version control your rules using Git and promote collaboration so analysts, hunters, and engineers can learn from one another. Playbooks and detection libraries ensure institutional knowledge does not disappear when staff change roles.

7. Metrics and Continuous Improvement

Track measurable outcomes such as coverage across ATT&CK® techniques, number of validated detections, false positive rates, and mean time to detect. Regularly retire stale detections, update ones that drift, and automate validation wherever possible. Detection-as-Code practices keep everything maintainable and scalable.

Building the Skillset

Detection engineering requires a strong foundation in logging, security tooling, and incident response. You should understand when it’s best to detect, when to block, and how to use data sources effectively.

Whether you’re building your first rule or managing hundreds, the mindset remains the same: test everything, learn constantly, and make each detection better than the last.

Get Started

Explore resources like:

detectionengineering.net and SigmaHQ.

Follow community leaders like:

Zack Allen (Detection Engineering Weekly) and Haider Dost (Threat Detection Maturity Framework).

Study detections and see how others approach logic design at:

research.splunk.com

Read:

Practical Threat Detection Engineering.

For more resources check out:

https://bit.ly/notlogic

Microsoft, along with a group of industry partners, disrupted EvilTokens, a short-lived but highly consequential cybercrime platform that investigators linked to more than 12,000 compromised Microsoft customer email inboxes across more than 10,000 organizations globally, the company said Tuesday.

Acting on federal court order Sept. 15, Microsoft and partners seized 50 websites the phishing-as-a-service used for operations and disabled more than 175 domains linked to EvilTokens’ supporting infrastructure. 

EvilTokens, launched in February 2026, was “a powerful cybercrime platform that used AI at every step of the attack chain — from compromising email accounts to designing intricate roadmaps for financial fraud and scams,” Steven Masada, associate general counsel and general manager of Microsoft’s Digital Crimes Unit, wrote in a blog post.

About 1,000 cybercriminals used EvilTokens over the course of its operation, a Microsoft spokesperson told CyberScoop.

The service was centered on an AI-style chatbot that cybercriminals used to analyze victims’ inboxes, identify trusted relationships, payment authorizations and other sensitive details that could facilitate fraud.

“AI was not simply helping attackers write more convincing messages. It helped them decide who to target, who to impersonate, and how to most effectively exploit the relationship to extract as much money as possible,” Masada wrote. 

EvilTokens was one of the most widely used phishing-as-a-service platforms prior to its takedown. It facilitated business-email compromise campaigns by stealing session tokens that allowed cybercriminals to sift through a victim’s inbox and maintain persistent access.

“We cannot estimate the total fraud attributable to all EvilTokens activity. However, we were able to correlate at least 13 complaints filed with the FBI’s Internet Crime Complaint Center to EvilTokens-linked activity, representing approximately $1.7 million in reported losses,” a Microsoft spokesperson said. “Because many incidents go unreported and not all victims can be definitively linked to specific campaigns, we believe this is a conservative estimate.”

Victims of EvilTokens were largely concentrated in the United States, Canada, the United Kingdom, Australia, India and France, according to Microsoft. SpyCloud, which supported the takedown, identified compromised email domains spanning 79 countries.

Microsoft said it also identified two men behind EvilTokens — Felix Utomi and Waidi Segun Adams — and attributes the development and support of the platform to Storm-2992, a threat actor unaffiliated with any other known cybercrime groups.

The United Kingdom’s Metropolitan Police acted on that information Sept. 18 when it served warrants in the greater London area, arrested the men accused of making articles for use in fraud and money laundering and seized their digital devices.

The Metropolitan Police said it received information from Microsoft about EvilTokens’ administrators in August. Utomi and Adams were released on bail as the investigation continues. 

“The two primary operators identified in our investigation were residing in the U.K.,” a spokesperson for Microsoft told CyberScoop. “While our investigation focused on those individuals, we believe others may have supported the operation in various capacities.”

Microsoft’s legal filing in the U.S. District Court for the Eastern District of Virginia refers to five additional unidentified people allegedly acting as support personnel and users.

Microsoft and others involved in the EvilTokens takedown, including Health-ISAC, Cloudflare, OpenAI, Shadowserver and TRM Labs, didn’t fully quantify how much fraud the service enabled, but it gained popularity quickly among cybercriminals and was lucrative for its operators.

Coinbase, which also aided the investigation into EvilTokens, said it traced about $1.1 million in revenue for EvilTokens from its paying customers. The virtual currency company’s threat researchers found more than 1,000 deposits to EvilTokens from more than 700 distinct addresses through June 2026. 

Operators sold access to the service through Telegram for a $1,500 initiation fee and a recurring $500 subscription. EvilTokens significantly lowered the barrier to entry for cybercriminals by including specialized tools for identity attacks, cloud systems, social engineering and financial fraud in a single interface.

The service allowed cybercriminals to map organizational structure and permissions in Microsoft Graph, which enabled lateral movement, researchers said. With active tokens gained through a collection of highly-targeted phishing lures, cybercriminals consistently bypassed multi-factor authentication, email gateways and endpoint security tools.

Microsoft said the platform’s creators developed portions of the platform with AI and it uncovered capabilities from multiple AI models. 

“It packaged much of the criminal process into a commercially run service, complete with subscription pricing, customer support, management dashboards and tools designed to move customers from account access toward financial exploitation,” Masada added.

The companies and organizations involved in the globally-coordinated takedown identified and notified potential victims, shared indicators of compromise and shared intelligence with law enforcement about EvilToken’s operators and some of its customers.

Experts advised organizations and employees to treat unsolicited device codes as a red flag, assume compromised accounts are fully cataloged in minutes, and independently verify requests to change payment information or redirect funds.

“The infrastructure supporting EvilTokens has been disrupted, but the model it demonstrated will not disappear with it,” Masada warned.

The post Microsoft and partners disrupt EvilTokens, a comprehensive cybercrime service for financial fraud appeared first on CyberScoop.

Another core member of the hacker subset of The Com involved in a spree of extortion attacks from at least 2021 to 2023 pleaded guilty to federal charges, according to court records released Tuesday.

Ahmed Hossam Eldin Elbadawy, a 24-year-old from Texas, pleaded guilty exactly one year ago to wire fraud conspiracy and aggravated identity theft. His guilty plea wasn’t shared publicly until prosecutors filed an order of forfeiture this week seeking proceeds from Elbadawy’s criminal activities. 

Elbadawy and his co-conspirators — Noah Michael Urban, a Florida man sentenced to 10 years in prison last year, and Tyler Robert Buchanan, a Scottish man who pleaded guilty to multiple cybercrimes in April and awaits sentencing — were part of an aggressive subset of The Com coined Scattered Spider. 

The financially-motivated crew obtained credentials via social engineering and stole sensitive company data to identify high net worth employees with virtual currency accounts containing millions of dollars, according to an indictment filed against Elbadawy and his co-conspirators in late 2024. 

Federal authorities filed charges against five individuals with links to the Scattered Spider cybercrime outfit, including Elbadawy, Urban, Buchanan, Evans Onyeaka Osiebo and Joel Martin Evans in 2024.

Elbadawy’s victims included large businesses in the entertainment, telecom, technology, business process outsourcing, IT, cloud and virtual currency sectors, officials said. Prosecutors linked Elbadawy and his co-conspirators to at least 12 victim companies in the indictment, including three businesses located in Southern California where he awaits sentencing. 

Authorities detailed 29 victims who were compromised by Elbadawy and his co-conspirators. The crew stole virtual currency from wallets controlled by many of those victims. The most high-value thefts included virtual currency worth nearly $6.35 million in September 2021, $571,000 in June 2022 and nearly $1.7 million in December 2022. 

Prosecutors are seeking significant property and asset forfeiture from Elbadawy, including Bitcoin valued at more than $14.19 million, Ethereum valued at more than $3.4 million and nearly $63,000 in cash. Officials also requested the forfeiture of a lifted golf cart, three luxury vehicles, a painting of Muhammad Ali, luxury watches, gold jewelry, a vast collection of designer bags and 150 pairs of shoes.

The terms of Elbadawy’s plea agreement haven’t been released. 

While early leaders of Scattered Spider have been arrested or sentenced for their crimes, others have filled those roles with even more exceptional impact.

The Com has grown to thousands of members, typically between 11 and 25 years old, splintered into three primary subsets the FBI describes as Hacker Com, In Real Life Com and Extortion Com.

Criminal acts committed by these multiple, interconnected networks include swatting, extortion and sextortion of minors, production and distribution of child sexual abuse material, violent crime and various other cybercrimes.

You can read the indictment against Elbadawy and some of his co-conspirators below.

The post Early Scattered Spider member pleads guilty to cybercrime spree appeared first on CyberScoop.

Five alleged leaders of the South African wing of Black Axe, a global cybercrime group with operations spanning dozens of countries, were extradited to the United States Friday to face multiple charges, the Justice Department said.

Officials accuse the five people, all originally from Nigeria, of running romance scams and advance fee scams from at least 2011 until they were all arrested in South Africa in 2021. The defendants were due Monday for initial court appearances and arraignments in a federal court in Trenton, N.J.

“Black Axe is a notoriously violent transnational criminal organization that also happens to dabble in romance scams to make money,” Stefanie Roddy, special agent in charge of the FBI Newark field office, said in a statement. “The ability of FBI Newark and our partner agencies to reach into South Africa illustrates our resolve to hold accountable any and every type of fraudster who preys on innocent victims here in the United States.”

The accused include Perry Osagiede, founder and leader of the Cape Town Zone of Black Axe; Franklyn Edosa Osagiede, the zone’s “chief ihaza” Osariemen Eric Clement, “assistant eye of the zone,” Collins Owhofasa Otughwor, the zone’s “chief eye,” and Musa Mudashiru, one of the group’s “assistant butchers.”

Prosecutors said the five defendants and their co-conspirators used fake identities to pose as a love interest, relatives, business partners or friends to trick victims into sending them money.

Many of the scams involved claims that the alleged cybercriminals needed money for work travel or to hold them over financially following a series of unfortunate events. This included requests for loans, often involving issues with a construction site, delayed inheritance, or expensive health costs for claimed relatives, according to an unsealed indictment filed in the U.S. District Court of New Jersey in 2021. 

Prosecutors said the co-conspirators also used business entities and gained access to the financial accounts of some victims to conceal the funds illegally obtained from other victims. In some cases, the alleged Black Axe members threatened to distribute sensitive photos of victims when they hesitated to send money, officials added.

The extradition follows a heightened period of law enforcement activity targeting Black Axe in multiple countries. 

Authorities arrested 34 alleged cybercriminals in Spain, including some Black Axe leaders, for adversary-in-the-middle scams such as business email compromise, money laundering and vehicle trafficking in January. 

Officials seized millions in assets, arrested 58 individuals and identified 263 suspects, including members of Black Axe, in a multi-country sting operation in August. 

Black Axe is a highly structured, hierarchical group that generates billions of dollars in criminal proceeds annually from many small-scale operations spanning dozens of countries. 

All five of the extradited individuals are charged with conspiracy to commit wire fraud and money laundering. Perry Osagiede and Franklyn Osagiede are also charged with wire fraud and aggravated identity theft. Officials also charged Clement with wire fraud and Otughwor with aggravated identity theft. The combined charges carry up to 62 years in prison. 

“This case reflects the result of a years-long effort by the U.S. Secret Service and our law enforcement partners to identify, investigate, and bring to justice those who allegedly preyed on victims through sophisticated online fraud and money laundering schemes,” Craig Marech, special agent in charge of the U.S. Secret Service’s Newark field office, said in a statement. 

The Justice Department published additional information about the Cape Town Zone wing of Black Axe, including multiple aliases and business entities used by the group’s members, and encouraged potential victims to contact the FBI.

The post Five alleged leaders of Black Axe’s operations in South Africa extradited to US appeared first on CyberScoop.

Attackers are targeting prominent, high-profile people, their family members and acquaintances on a commercial messaging application to gain long-term access to their accounts containing sensitive data, the FBI warned in an alert Tuesday.

Officials did not describe the objectives or origins of the attackers, which have more recently impersonated government officials, journalists and publicly known personalities. Attackers are tricking victims into granting them access to a legitimate cloud service, such as Microsoft or Google, under the guise of reviewing a draft article or document.

The ongoing threat, which the FBI has been tracking since late 2025, showcases a “deceptive, sophisticated approach to access user accounts without requiring a password,” the FBI wrote in the public service announcement. The malicious links, which enable OAuth consent phishing, provide attackers with persistent access to a targeted victim’s account.

“Once permission is obtained, it can only be revoked by the victim invalidating the token in their application security settings — not by changing the password,” the FBI wrote.

Authorities did not provide any details about the victims targeted by the campaign or how many people have already been compromised by these attacks. Threat actors previously impersonated event coordinators and planners, using invitations and identity verification requests as lures to gain access to their accounts.

By social engineering unsuspecting victims via OAuth consent phishing, attackers gain full visibility into the target’s configured permissions, allowing them to access emails, files and other sensitive data.

“If the user approves the request, they unwittingly grant high-level access to a malicious application controlled by the cyber actor,” the FBI added. “By registering malicious applications through legitimate authorization protocols and using social engineering tactics, cyber actors can bypass both passwords and multi-factor authentication, which makes consent phishing especially dangerous.”

OAuth is a standardized and widely adopted protocol for authorizing access to applications and other services, including APIs. The standard uses tokens to establish and maintain authorized access to separate resources or services. 

The FBI encouraged people to scrutinize communications from unfamiliar phone numbers or accounts, independently verify the identity of the sender and only grant access to trusted applications.

The post FBI raises alarm over deceptive phishing campaign targeting prominent people appeared first on CyberScoop.

Authorities arrested more than 5,800 alleged cybercriminals and seized $293 million in a global operation targeting social-engineering scams and money laundering across 97 countries, Interpol said Thursday.

The anti-fraud crackdown, dubbed Operation First Light, identified more than 142,000 victims, including people, businesses and governments, officials said. 

“Social engineering scams continue to pose a significant threat to our society. Criminal syndicates exploit human psychology to manipulate their targets, and no nation can stay safe unless all countries are equipped and committed to jointly fighting back,” Tomonobu Kaya, director of Interpol’s Financial Crime and Anti-Corruption Centre, said in a statement.

Police identified more than 15,500 cybercrime suspects during the operation, which spanned more than three months ending in late April, according to Interpol. Officials also analyzed more than 152,800 cases of cybercrime, including business email compromise, sextortion, romance scams, impersonation and investment schemes. 

Interpol said nearly 24,000 cases of cybercrime were solved and investigators blocked more than 31,000 bank accounts linked to malicious activity during the crackdown.

Authorities involved in the globally coordinated operation seized a high volume of devices and other equipment used to allegedly facilitate cybercrime. 

In Eswatini, police seized a replica of a Brazilian police station, including fake uniforms, signage and equipment that cybercriminals allegedly used to deceive targets into thinking they were victims of a crime, duping them into transferring funds.

While uncovering a romance scam money laundering operation in Thailand, investigators identified a 20-year-old suspect that allegedly processed more than $122.5 million in 10 months, according to Interpol. Officials in Palau identified and deported 22 people allegedly involved in a pair of scam centers operating from hotels.

“Interpol is dedicated to supporting member countries in building a comprehensive, coordinated strategy to tackle cyber-enabled financial crimes, organized criminal networks and the money laundering that fuels them,” Kaya said.

The post Interpol cybercrime crackdown nets 5,800 arrests across 97 countries appeared first on CyberScoop.

He walked into the lobby with a fake badge clipped to his shirt. He had bought it online the week before. It was not perfect, and it did not need to be. From a few feet away, it looked close enough: a logo, a name, a photo, and a lanyard. The kind of thing most people glance at for half a second before their brain decides, “Looks fine.”

The post The Art of the Badge: A Hard Truth About Physical Security appeared first on Black Hills Information Security, Inc..

This scenario simultaneously tests identity confirmation tooling (SSPR, MFA, Conditional Access), how users act under pressure, and the organization's ability to detect and follow-up on social engineering attacks.

The post Social Engineering and Microsoft SSPR: The Road to Pwnage is Paved with Good Intentions  appeared first on Black Hills Information Security, Inc..

Social engineering is the manipulation of individuals into divulging confidential information, granting unauthorized access, or performing actions that benefit the attacker, all without the victim realizing they are being tricked.

The post How to Design and Execute Effective Social Engineering Attacks by Phone appeared first on Black Hills Information Security, Inc..

GoPhish provides a nice platform for creating and running phishing campaigns. This blog will guide you through installing GoPhish and creating a campaign. 

The post Gone Phishing: Installing GoPhish and Creating a Campaign appeared first on Black Hills Information Security, Inc..

This webcast was originally published on November 8, 2024. In this video, Hayden Covington discusses the detection engineering process and how to apply the scientific method to improve the quality […]

The post The Detection Engineering Process appeared first on Black Hills Information Security, Inc..

In this video, Michael Allen discusses adversary-in-the-middle post-exploitation techniques and processes.

The post Adversary in the Middle (AitM): Post-Exploitation appeared first on Black Hills Information Security, Inc..

Changes to the msds-KeyCredentialLink attribute are not audited/logged with standard audit configurations. This required serious investigations and a partner firm in infosec provided us the answer: TrustedSec.  So, credit where […]

The post Enable Auditing of Changes to msDS-KeyCredentialLink  appeared first on Black Hills Information Security, Inc..

This article was originally published in the second edition of the InfoSec Survival Guide. Find it free online HERE or order your $1 physical copy on the Spearphish General Store. […]

The post How to Perform and Combat Social Engineering appeared first on Black Hills Information Security, Inc..

This article originally featured in the very first issue of our PROMPT# zine — Choose Wisely. You can find that issue (and all the others) here: https://www.blackhillsinfosec.com/prompt-zine/ I remember a […]

The post Red Teaming: A Story From the Trenches appeared first on Black Hills Information Security, Inc..

Human Trust  Most people associated with information technology roles understand the application of technical controls like the use of firewalls, encryption, and security products for defenses against digital threats. Proper […]

The post The Human Element in Cybersecurity: Understanding Trust and Social Engineering  appeared first on Black Hills Information Security, Inc..

I previously blogged about spoofing Microsoft 365 using the direct send feature enabled by default when creating a business 365 Exchange Online instance (https://www.blackhillsinfosec.com/spoofing-microsoft-365-like-its-1995/). Using the direct send feature, it […]

The post Spamming Microsoft 365 Like It’s 1995  appeared first on Black Hills Information Security, Inc..

rvrsh3ll //  Introduction  This blog post is intended to give a light overview of device codes, access tokens, and refresh tokens. Here, I focus on the technical how-to for standing […]

The post Dynamic Device Code Phishing  appeared first on Black Hills Information Security, Inc..

Every Android application has a “manifest.xml” file located in the root directory of the APK. (Remember APKs are just zip files.) The manifest file is like a guide to the application.

The post Field Guide to the Android Manifest File appeared first on Black Hills Information Security, Inc..

Hannah Cartier // Social engineering, especially phishing, is becoming increasingly prevalent in red team engagements as well as real-world attacks. As security awareness improves and systems become more locked down, […]

The post Phishing Made Easy(ish) appeared first on Black Hills Information Security, Inc..