In 2025, cybersecurity researchers discovered several open databases belonging to various AI image-generation tools. This fact alone makes you wonder just how much AI startups care about the privacy and security of their users’ data. But the nature of the content in these databases is far more alarming.

A large number of generated pictures in these databases were images of women in lingerie or fully nude. Some were clearly created from children’s photos, or intended to make adult women appear younger (and undressed). Finally, the most disturbing part: some pornographic images were generated from completely innocent photos of real people — likely taken from social media.

In this post, we’re talking about what sextortion is, and why AI tools mean anyone can become a victim. We detail the contents of these open databases, and give you advice on how to avoid becoming a victim of AI-era sextortion.

What is sextortion?

Online sexual extortion has become so common it’s earned its own global name: sextortion (a portmanteau of sex and extortion). We’ve already detailed its various types in our post, Fifty shades of sextortion. To recap, this form of blackmail involves threatening to publish intimate images or videos to coerce the victim into taking certain actions, or to extort money from them.

Previously, victims of sextortion were typically adult industry workers, or individuals who’d shared intimate content with an untrustworthy person.

However, the rapid advancement of artificial intelligence, particularly text-to-image technology, has fundamentally changed the game. Now, literally anyone who’s posted their most innocent photos publicly can become a victim of sextortion. This is because generative AI makes it possible to quickly, easily, and convincingly undress people in any digital image, or add a generated nude body to someone’s head in a matter of seconds.

Of course, this kind of fakery was possible before AI, but it required long hours of meticulous Photoshop work. Now, all you need is to describe the desired result in words.

To make matters worse, many generative AI services don’t bother much with protecting the content they’ve been used to create. As mentioned earlier, last year saw researchers discover at least three publicly accessible databases belonging to these services. This means the generated nudes within them were available not just to the user who’d created them, but to anyone on the internet.

How the AI image database leak was discovered

In October 2025, cybersecurity researcher Jeremiah Fowler uncovered an open database containing over a million AI-generated images and videos. According to the researcher, the overwhelming majority of this content was pornographic in nature. The database wasn’t encrypted or password-protected — meaning any internet user could access it.

The database’s name and watermarks on some images led Fowler to believe its source was the U.S.-based company SocialBook, which offers services for influencers and digital marketing services. The company’s website also provides access to tools for generating images and content using AI.

However, further analysis revealed that SocialBook itself wasn’t directly generating this content. Links within the service’s interface led to third-party products — the AI services MagicEdit and DreamPal — which were the tools used to create the images. These tools allowed users to generate pictures from text descriptions, edit uploaded photos, and perform various visual manipulations, including creating explicit content and face-swapping.

The leak was linked to these specific tools, and the database contained the product of their work, including AI-generated and AI-edited images. A portion of the images led the researcher to suspect they’d been uploaded to the AI as references for creating provocative imagery.

Fowler states that roughly 10,000 photos were being added to the database every single day. SocialBook denies any connection to the database. After the researcher informed the company of the leak, several pages on the SocialBook website that had previously mentioned MagicEdit and DreamPal became inaccessible and began returning errors.

Which services were the source of the leak?

Both services — MagicEdit and DreamPal — were initially marketed as tools for interactive, user-driven visual experimentation with images and art characters. Unfortunately, a significant portion of these capabilities were directly linked to creating sexualized content.

For example, MagicEdit offered a tool for AI-powered virtual clothing changes, as well as a set of styles that made images of women more revealing after processing — such as replacing everyday clothes with swimwear or lingerie. Its promotional materials promised to turn an ordinary look into a sexy one in seconds.

DreamPal, for its part, was initially positioned as an AI-powered role-playing chat, and was even more explicit about its adult-oriented positioning. The site offered to create an ideal AI girlfriend, with certain pages directly referencing erotic content. The FAQ also noted that filters for explicit content in chats were disabled so as not to limit users’ most intimate fantasies.

Both services have suspended operations. At the time of writing, the DreamPal website returned an error, while MagicEdit seemed available again. Their apps were removed from both the App Store and Google Play.

Jeremiah Fowler says earlier in 2025, he discovered two more open databases containing AI-generated images. One belonged to the South Korean site GenNomis, and contained 95,000 entries — a substantial portion of which being images of “undressed” people. Among other things, the database included images with child versions of celebrities: American singers Ariana Grande and Beyoncé, and reality TV star Kim Kardashian.

How to avoid becoming a victim

In light of incidents like these, it’s clear that the risks associated with sextortion are no longer confined to private messaging or the exchange of intimate content. In the era of generative AI, even ordinary photos, when posted publicly, can be used to create compromising content.

This problem is especially relevant for women, but men shouldn’t get too comfortable either: the popular blackmail scheme of “I hacked your computer and used the webcam to make videos of you browsing adult sites” could reach a whole new level of persuasion thanks to AI tools for generating photos and videos.

Therefore, protecting your privacy on social media and controlling what data about you is publicly available become key measures for safeguarding both your reputation and peace of mind. To prevent your photos from being used to create questionable AI-generated content, we recommend making all your social media profiles as private as possible — after all, they could be the source of images for AI-generated nudes.

We’ve already published multiple detailed guides on how to reduce your digital footprint online or even remove your data from the internet, how to stop data brokers from compiling dossiers on you, and protect yourself from intimate image abuse.

Additionally, we have a dedicated service, Privacy Checker — perfect for anyone who wants a quick but systematic approach to privacy settings everywhere possible. It compiles step-by-step guides for securing accounts on social media and online services across all major platforms.

And to ensure the safety and privacy of your child’s data, Kaspersky Safe Kids can help: it allows parents to monitor which social media their child spends time on. From there, you can help them adjust privacy settings on their accounts so their posted photos aren’t used to create inappropriate content. Explore our guide to children’s online safety together, and if your child dreams of becoming a popular blogger, discuss our step-by-step cybersecurity guide for wannabe bloggers with them.

South Korean law enforcement has arrested four suspects linked to the breach of approximately 120 000 IP cameras installed in private homes and commercial spaces — including karaoke lounges, pilates studios, and a gynecology clinic. Two of the hackers sold sexually explicit footage from the cameras through a foreign adult website. In this post, we explain what IP cameras are, and where their vulnerabilities lie. We also dive into the details of the South Korea incident and share practical advice on how to avoid becoming a target for attackers hunting for intimate video content.

How do IP cameras work?

An IP camera is a video camera connected to the internet via the Internet Protocol (IP), which lets you view its feed remotely on a smartphone or computer. Unlike traditional CCTV surveillance systems, these cameras don’t require a local surveillance hub — like you see in the movies — or even a dedicated computer to be plugged into. An IP camera streams video directly in real time to any device that connects to it over the internet. Most of today’s IP camera manufacturers also offer optional cloud storage plans, letting you access recorded footage from anywhere in the world.

In recent years, IP cameras have surged in popularity to become ubiquitous, serving a wide range of purposes — from monitoring kids and pets at home to securing warehouses, offices, short-term rental apartments (often illegally), and small businesses. Basic models can be picked up online for as little as US$25–40.

One of the defining features of IP cameras is that they’re originally designed for remote access. The camera connects to the internet and silently accepts incoming connections — ready to stream video to anyone who knows its address and has the password. And this leads to two common problems with these devices.

1. Default passwords. IP camera owners often keep the simple default usernames and passwords that come preconfigured on the device.
2. Vulnerabilities in outdated software. Software updates for cameras often require manual intervention: you need to log in to the administration interface, check for an update, and install it yourself. Many users simply skip this altogether. Worse, updates might not even exist — many camera vendors ignore security and drop support right after the sale.

What happened in South Korea?

Let’s rewind to what unfolded this fall in South Korea. Law-enforcement authorities reported a breach of roughly 120 000 IP cameras, and the arrest of four suspects in connection with the attacks. Here’s what we know about each of them.

• Suspect 1, unemployed, hacked approximately 63 000 IP cameras, producing and later selling 545 sexually explicit videos for a total of 35 million South Korean won, or just under US$24 000.
• Suspect 2, an office worker, compromised around 70 000 IP cameras and sold 648 illicit sexual videos for 18 million won (about US$12 000).
• Suspect 3, self-employed, hacked 15 000 IP cameras and created illegal content, including footage involving minors. So far, there’s no information suggesting this individual sold any material.
• Suspect 4, an office worker, appears to have breached only 136 IP cameras, and isn’t accused of producing or selling illegal content.

The astute reader may have noticed the numbers don’t quite add up — the figures above totaling well over 120 000. South Korean law enforcement hasn’t provided a clear explanation for this discrepancy. Journalists speculate that some of the devices may have been compromised by multiple attackers.

The investigation has revealed that only two of the accused actually sold the sexual content they’d stolen. However, the scale of their operation is staggering. Last year, the website hosting voyeurism and sexual exploitation content — which both perpetrators used to sell their videos — received 62% of its uploads from just these two individuals. In essence, this video enthusiast duo supplied the majority of the platform’s illegal content. It’s also been reported that three buyers of these videos were detained.

South Korean investigators were able to identify 58 specific locations of the hacked cameras. They’ve notified the victims and provided guidance on changing the passwords to secure their IP cameras. This suggests — although the investigators haven’t disclosed any details about the method of compromise — that the attackers used brute-forcing to crack the cameras’ simple passwords.

Another possibility is that the camera owners, as is often the case, simply never changed the default usernames and passwords. These default credentials are frequently widely known, so it’s entirely plausible that to gain access the attackers only needed to know the camera’s IP address and try a handful of common username and password combinations.

How to avoid becoming a victim of voyeur hackers

The takeaways from this whole South Korean dorama drama are straight from our playbook:

• Always replace the factory-set credentials with your own logins and passwords.
• Never use weak or common passwords — even for seemingly harmless accounts or gadgets. You don’t have to work at the Louvre to be a target. You never know which credentials attackers will try to crack, or where that initial breach might lead them.
• Always set unique passwords. If you reuse passwords, a single data leak from one service can put all your other accounts at risk.

These rules are universal: they apply just as much to your social media and banking accounts as they do to your robot vacuums, IP cameras, and every other smart device in your home.

To keep all those unique passwords organized without losing your mind, we strongly recommend a reliable password manager. Kaspersky Password Manager can both store all your credentials securely and generate truly random, complex, and uncrackable passwords for you. With it, you can be confident that no one will guess the passwords to your accounts or devices. Plus, it helps you generate one-time codes for two-factor authentication, save and autofill passkeys, and sync your sensitive data — not just logins and passwords, but also bank card details, documents, and even private photos — in encrypted form across all your devices.

Wondering if a hidden camera is filming you? Read more in our posts:

• Webcam stalking: fact or fiction?
• Airbnb security: tips for safe travel
• Four ways to find spy cameras
• Lumos: IoT device detection system
• IP camera security: the bad, the ugly, and the evil

News outlets recently reported that a threat actor was spreading an infostealer through free 3D model files for the Blender software. This is troubling enough on its own, but it highlights an even more serious problem: the business threat posed by free open source programs, uncontrolled by corporate infosec teams. And the danger comes not from vulnerabilities in the software, but from its very own standard features.

Why Blender and 3D model marketplaces pose a risk

Blender is a 3D graphics and animation suite used by visualization professionals across various industries. The software is free and open-source, and offers extensive functionality. Among Blender’s capabilities is support for executing Python scripts, which are used to automate tasks and add new features.

The package allows users to import external files from specialized marketplaces like CGTrader or Sketchfab. These platforms host both paid and free 3D models by artists and studios. Any of these model files potentially contain Python scripts.

This creates a concerning scenario: marketplaces where files can be uploaded by any user and may not be scanned for malicious content, combined with software that has an Auto Run Python Scripts feature. It allows files to automatically execute embedded Python scripts immediately upon opening — essentially running arbitrary code on the user’s computer in unattended mode.

 

How the StealC V2 infostealer spread via Blender files

The attackers posted free 3D models with the .blend file name extension on the popular CGTrader platform. These files contained a malicious Python script. If the user had the Auto Run Python Scripts feature enabled, downloading and opening the file in Blender triggered the script. It then established a connection to a remote server and downloaded a malware loader from the Cloudflare Workers domain.

The loader executed a PowerShell script, which in turn downloaded additional malicious payloads from the attackers’ servers. Ultimately, the victim’s computer was infected with the StealC infostealer, enabling the attackers to:

• Extract data from over 23 browsers.
• Harvest information from more than 100 browser extensions and 15 crypto wallet applications.
• Steal data from Telegram, Discord, Tox, Pidgin, ProtonVPN, OpenVPN, and email clients like Thunderbird.
• Use a User Account Control (UAC) bypass.

The danger of unmonitored work tools

The problem isn’t Blender itself — threat actors will inevitably try to exploit automation features in any popular software. Most end-users don’t consider the risks of enabling common automation features, nor do they typically dive deep into how these features work or how they could be exploited.

The core issue is that security teams aren’t always familiar with the capabilities of specialized tools used by various departments. They simply don’t account for this vector in their threat models.

How to avoid becoming a victim

If your company uses Blender, the first step is to disable the automatic execution of Python scripts (Auto Run Python Scripts feature). Here’s how to do it according to official documentation.

Furthermore, to prevent the sudden spread of threats via work tools, we recommend that corporate security teams:

• Prohibit the use of tools and extensions that haven’t been approved by the security team.
• Thoroughly vet permitted software, and assess risks before implementing any new services or platforms.
• Regularly train employees to recognize the risks associated with installing unknown software and using dangerous features. You can automate security awareness training with the Kaspersky Automated Security Awareness Platform.
• Enforce the use of secure configurations for all work tools.
• Protect all company-issued devices with modern security solutions.