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Cyber Insights 2026: Social Engineering

16 January 2026 at 13:30

We've known that social engineering would get AI wings. Now, at the beginning of 2026, we are learning just how high those wings can soar.

The post Cyber Insights 2026: Social Engineering appeared first on SecurityWeek.

How to Perform and Combat Social Engineering

By: BHIS
23 August 2024 at 05:00

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..

How AI made scams more convincing in 2025

2 January 2026 at 11:16

This blog is part of a series where we highlight new or fast-evolving threats in consumer security. This one focuses on how AI is being used to design more realistic campaigns, accelerate social engineering, and how AI agents can be used to target individuals.

Most cybercriminals stick with what works. But once a new method proves effective, it spreads quicklyβ€”and new trends and types of campaigns follow.

In 2025, the rapid development of Artificial IntelligenceΒ (AI) and its use in cybercrime went hand in hand. In general, AI allows criminals to improve the scale, speed, and personalization of social engineering through realistic text, voice, and video. Victims face not only financial loss, but erosion of trust in digital communication and institutions.

Social engineering

Voice cloning

One of the main areas where AI improved was in the area of voice-cloning, which was immediately picked up by scammers. In the past, they would mostly stick to impersonating friends and relatives. In 2025, they went as far as impersonating senior US officials. The targets were predominantly current or former US federal or state government officials and their contacts.

In the course of these campaigns, cybercriminals used test messages as well asΒ AI-generated voice messages. At the same time, they did not abandon the distressed-family angle. A woman in Florida was tricked into handing over thousands of dollars to a scammer after her daughter’s voice was AI-cloned and used in a scam.

AI agents

Agentic AI is the term used for individualized AI agents designed to carry out tasks autonomously. One such task could be to search for publicly available or stolen information about an individual and use that information to compose a very convincing phishing lure.

These agents could also be used to extort victims by matching stolen data with publicly known email addresses or social media accounts, composing messages and sustaining conversations with people who believe a human attacker has direct access to their Social Security number, physical address, credit card details, and more.

Another use we see frequently is AI-assisted vulnerability discovery. These tools are in use by both attackers and defenders. For example, Google uses a project called Big Sleep, which has found several vulnerabilities in the Chrome browser.

Social media

As mentioned in the section on AI agents, combining data posted on social media with data stolen during breaches is a common tactic. Such freely provided data is also a rich harvesting ground for romance scams, sextortion, and holiday scams.

Social media platforms are also widely used to peddle fake products, AI generated disinformation, dangerous goods,Β  and drop-shipped goods.

Prompt injection

And then there are the vulnerabilities in public AI platforms such as ChatGPT, Perplexity, Claude, and many others. Researchers and criminals alike are still exploring ways to bypass the safeguards intended to limit misuse.

Prompt injection is the general term for when someone inserts carefully crafted input, in the form of an ordinary conversation or data, to nudge or force an AI into doing something it wasn’t meant to do.

Malware campaigns

In some cases, attackers have used AI platforms to write and spread malware. Researchers have documented campaign where attackers leveraged Claude AI to automate the entire attack lifecycle, from initial system compromise through to ransom note generation, targeting sectors such as government, healthcare, and emergency services.

Since early 2024, OpenAI says it has disrupted more than 20 campaigns around the world that attempted to abuse its AI platform for criminal operations and deceptive campaigns.

Looking ahead

AI is amplifying the capabilities of both defenders and attackers. Security teams can use it to automate detection, spot patterns faster, and scale protection. Cybercriminals, meanwhile, are using it to sharpen social engineering, discover vulnerabilities more quickly, and build end-to-end campaigns with minimal effort.

Looking toward 2026, the biggest shift may not be technical but psychological. As AI-generated content becomes harder to distinguish from the real thing, verifying voices, messages, and identities will matter more than ever.


We don’t just report on threatsβ€”we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices byΒ downloading Malwarebytes today.

How AI made scams more convincing in 2025

2 January 2026 at 11:16

This blog is part of a series where we highlight new or fast-evolving threats in consumer security. This one focuses on how AI is being used to design more realistic campaigns, accelerate social engineering, and how AI agents can be used to target individuals.

Most cybercriminals stick with what works. But once a new method proves effective, it spreads quicklyβ€”and new trends and types of campaigns follow.

In 2025, the rapid development of Artificial IntelligenceΒ (AI) and its use in cybercrime went hand in hand. In general, AI allows criminals to improve the scale, speed, and personalization of social engineering through realistic text, voice, and video. Victims face not only financial loss, but erosion of trust in digital communication and institutions.

Social engineering

Voice cloning

One of the main areas where AI improved was in the area of voice-cloning, which was immediately picked up by scammers. In the past, they would mostly stick to impersonating friends and relatives. In 2025, they went as far as impersonating senior US officials. The targets were predominantly current or former US federal or state government officials and their contacts.

In the course of these campaigns, cybercriminals used test messages as well asΒ AI-generated voice messages. At the same time, they did not abandon the distressed-family angle. A woman in Florida was tricked into handing over thousands of dollars to a scammer after her daughter’s voice was AI-cloned and used in a scam.

AI agents

Agentic AI is the term used for individualized AI agents designed to carry out tasks autonomously. One such task could be to search for publicly available or stolen information about an individual and use that information to compose a very convincing phishing lure.

These agents could also be used to extort victims by matching stolen data with publicly known email addresses or social media accounts, composing messages and sustaining conversations with people who believe a human attacker has direct access to their Social Security number, physical address, credit card details, and more.

Another use we see frequently is AI-assisted vulnerability discovery. These tools are in use by both attackers and defenders. For example, Google uses a project called Big Sleep, which has found several vulnerabilities in the Chrome browser.

Social media

As mentioned in the section on AI agents, combining data posted on social media with data stolen during breaches is a common tactic. Such freely provided data is also a rich harvesting ground for romance scams, sextortion, and holiday scams.

Social media platforms are also widely used to peddle fake products, AI generated disinformation, dangerous goods,Β  and drop-shipped goods.

Prompt injection

And then there are the vulnerabilities in public AI platforms such as ChatGPT, Perplexity, Claude, and many others. Researchers and criminals alike are still exploring ways to bypass the safeguards intended to limit misuse.

Prompt injection is the general term for when someone inserts carefully crafted input, in the form of an ordinary conversation or data, to nudge or force an AI into doing something it wasn’t meant to do.

Malware campaigns

In some cases, attackers have used AI platforms to write and spread malware. Researchers have documented campaign where attackers leveraged Claude AI to automate the entire attack lifecycle, from initial system compromise through to ransom note generation, targeting sectors such as government, healthcare, and emergency services.

Since early 2024, OpenAI says it has disrupted more than 20 campaigns around the world that attempted to abuse its AI platform for criminal operations and deceptive campaigns.

Looking ahead

AI is amplifying the capabilities of both defenders and attackers. Security teams can use it to automate detection, spot patterns faster, and scale protection. Cybercriminals, meanwhile, are using it to sharpen social engineering, discover vulnerabilities more quickly, and build end-to-end campaigns with minimal effort.

Looking toward 2026, the biggest shift may not be technical but psychological. As AI-generated content becomes harder to distinguish from the real thing, verifying voices, messages, and identities will matter more than ever.


We don’t just report on threatsβ€”we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices byΒ downloading Malwarebytes today.

The Infostealer Gateway: Uncovering the Latest Methods in Defense Evasion

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The Infostealer Gateway: Uncovering the Latest Methods in Defense Evasion

In this post, we analyze the evolving bypass tactics threat actors are using to neutralize traditional security perimeters and fuel the global surge in infostealer infections.

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December 22, 2025

Infostealer-driven credential theft in 2025 has surged, with Flashpoint observing a staggering 800% increase since the start of the year. With over 1.8 billion corporate and personal accounts compromised, the threat landscape finds itself in a paradox: while technical defenses have never been more advanced, the human attack surface has never been more vulnerable.

Information-stealing malware has become the most scalable entry point for enterprise breaches, but to truly defend against them, organizations must look beyond the malware itself. As teams move into 2026 security planning, it is critical to understand the deceptive initial access vectorsβ€”the latest tactics Flashpoint is seeing in the wildβ€”that threat actors are using to manipulate users and bypass modern security perimeters.

Here are the latest methods threat actors are leveraging to facilitate infections:

1. Neutralizing Mark of the Web (MotW) via Drag-and-Drop Lures

Mark of the Web (MotW) is a critical Windows defense feature that tags files downloaded from the internet as β€œuntrusted” by adding a hidden NTFS Alternate Data Stream (ADS) to the file. This tag triggers β€œProtected View” in Microsoft Office programs and prompts Windows SmartScreen warnings when a user attempts to execute an unknown file.

Flashpoint has observed a new social engineering method to bypass these protections through a simple drag-and-drop lure. Instead of asking a user to open a suspicious attachment directly, which would trigger an immediate MotW warning, threat actors are instead instructing the victim to drag the malicious image or file from a document onto their desktop to view it. This manual interaction is highly effective for two reasons:

  1. Contextual Evasion: By dragging the file out of the document and onto the desktop, the file is executed outside the scope of the Protected View sandbox.
  2. Metadata Stripping: In many instances, the act of dragging and dropping an embedded object from a parent document can cause the operating system to treat the newly created file as a local creation, rather than an internet download. This effectively strips the MotW tag and allows malicious code to run without any security alerts.

2. Executing Payloads via Vulnerabilities and Trusted Processes

Flashpoint analysts uncovered an illicit thread detailing a proof of concept for a client-side remote code execution (RCE) in the Google Web Designer for Windows, which was first discovered by security researcher BΓ‘lint Magyar.

Google Web Designer is an application used for creating dynamic ads for the Google Ads platform. Leveraging this vulnerability, attackers would be able to perform remote code execution through an internal API using CSS injection by targeting a configuration file related to ads documents.

Within this thread, threat actors were specifically interested in the execution of the payload using the chrome.exe process. This is because using chrome.exe to fetch and execute a file is likely to bypass several security restrictions as Chrome is already a trusted process. By utilizing specific command-line arguments, such as the –headless flag, threat actors showed how to force a browser to initiate a remote connection in the background without spawning a visible window. This can be used in conjunction with other malicious scripts to silently download additional payloads onto a victim’s systems.

3. Targeting Alternative Softwares as a Path of Least Resistance

As widely-used software becomes more hardened and secure, threat actors are instead pivoting to targeting lesser-known alternatives. These tools often lack robust macro-protections. By targeting vulnerabilities in secondary PDF viewers or Office alternatives, attackers are seeking to trick users into making remote server connections that would otherwise be flagged as suspicious.

Understanding the Identity Attack Surface

Social engineering is one of the driving factors behind the infostealer lifecycle. Once an initial access vector is successful, the malware immediately begins harvesting the logs that fuel today’s identity-based digital attacks.

As detailed in The Proactive Defender’s Guide to Infostealers, the end goal is not just a password. Instead, attackers are prioritizing session cookies, which allow them to perform session hijacking. By importing these stolen cookies into anti-detect browsers, they bypass Multi-Factor Authentication and step directly into corporate environments, appearing as a legitimate, authenticated user.

Understanding how threat actors weaponize stolen data is the first step toward a proactive defense. For a deep dive into the most prolific stealer strains and strategies for managing the identity attack surface, download The Proactive Defender’s Guide to Infostealers today.

Request a demo today.

The post The Infostealer Gateway: Uncovering the Latest Methods in Defense Evasion appeared first on Flashpoint.

How to Design and Execute Effective Social Engineering Attacks by Phone

How to Design and Execute Effective Social Engineering Attacks by Phone

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..

Red Teaming: A Story From the Trenches

By: BHIS
18 April 2024 at 19:08

This article originally featured in the very first issue of our PROMPT# zine β€” 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..

Spamming Microsoft 365 Like It’s 1995Β 

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 1995Β  appeared first on Black Hills Information Security, Inc..

Dynamic Device Code PhishingΒ 

rvrsh3ll //Β  IntroductionΒ  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 PhishingΒ  appeared first on Black Hills Information Security, Inc..

Phishing Made Easy(ish)

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, […]

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Social Engineering in Japan

By: BHIS
2 January 2019 at 16:28

Kelsey Bellew//* It’s an occupational hazard to see vulnerabilities everywhere. When I see a router sitting in plain sight I think, β€œThe default creds are probably printed on the back; […]

The post Social Engineering in Japan appeared first on Black Hills Information Security, Inc..

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