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Cybercrime Monetization: How Attackers Will Make Money in 2017 and Why It’s Getting Easier

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Cybercrime Monetization: How Attackers Will Make Money in 2017 and Why It’s Getting Easier

In many Asian cultures, the number eight symbolizes wealth and prosperity. For cybercriminals, 2017 promises to be a lucky year indeed. As the digital underground evolves, attackers are finding new ways to turn breaches into profit. This article explores the key trends in cybercrime monetization for 2017, from ransomware to cloud compromises, and why the barrier to entry is dropping.

The Rise of Ransomware and Social Media as Revenue Streams

Ransomware remains a dominant force in cybercrime monetization. According to RiskIQ VP EMEA Ben Harknett, modern threat actors move fast, and seconds will count more than ever. Attack campaigns now go live within hours of account creation, lasting only a short time to evade detection.

Social media platforms are also being weaponized. Phishing and malware campaigns spread rapidly through fake profiles and malicious links. This low-cost, high-reach method allows criminals to target millions without sophisticated tools.

State-Sponsored Cybercrime: A New Level of Organization

Symantec’s Chief Strategist for EMEA, Sian John, warns that rogue nation states may align with organized crime for financial gain. The SWIFT attacks serve as a stark example, where state-backed actors stole millions by exploiting financial systems. This collaboration could lead to downtime for political, military, or financial infrastructures.

Therefore, cybercrime monetization is no longer just the domain of lone hackers. State funding brings resources and sophistication, making attacks harder to stop.

Cloud Infrastructure: The Next Big Target

Anomali senior threat researcher Aaron Shelmire predicts that cloud services will be a primary target in 2017. Security conferences have highlighted cloud-based persistence and compromise methods. Shelmire expects leading security organizations to detect malicious actors breaching cloud management infrastructure.

Malware designed to capture cloud credentials is on the rise. Once inside, attackers establish persistence through cloud management profiles, complicating intrusion timelines. This shift means cybercrime monetization will increasingly rely on cloud vulnerabilities.

Low-Sophistication Attacks Still Pay Off

Not all attacks require advanced skills. Mike Scutt, analytic response manager at Rapid7, predicts a surge in script-based malware and the use of native OS tools for execution, persistence, and reconnaissance. The dark web provides ready-made tools, lowering the entry barrier.

As a result, even less skilled criminals can profit. The websites hosting malware and phishing lures may last only hours, but the malware persists. Improved detection and response will help, but attackers adapt quickly.

How Businesses Can Defend Against Cybercrime Monetization

To counter these threats, organizations should invest in real-time monitoring and employee training. Phishing simulations and cloud security audits are essential. Additionally, adopting a zero-trust architecture can limit the damage from credential theft.

Building on this, companies must prioritize patch management and endpoint detection. As cybercrime monetization evolves, proactive defense is the best offense.

For more insights, read about ransomware prevention strategies and cloud security best practices. Also, check our guide on social engineering awareness.

In conclusion, 2017 marks a turning point in cybercrime monetization. Attackers are more organized, better funded, and leveraging low-sophistication methods with high success. Staying informed and vigilant is key to protecting assets.

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Washington sanctions VPN service that helped ransomware gangs hide in plain sight

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VPN service sanctions

A crackdown with a new target

On Monday, the U.S. Treasury Department slapped sanctions on a VPN provider and its Ukrainian administrator, accusing them of giving ransomware gangs the digital cover they needed to hit American cities, hospitals, schools and businesses. The move marks a notable shift: instead of going after the attackers themselves, Washington is now squeezing the people who sell them the tools to stay invisible.

The sanctioned service, First VPN Service (1VPNS), has been a favorite on Russian-speaking cybercrime forums for years. According to the Treasury, it provided ransomware operators with ways to “hide their identities, disguise malicious software, and evade detection — enabling attacks that have caused billions of dollars in losses to U.S. critical infrastructure providers.”

That’s a hefty charge. And it’s part of a broader strategy that targets not just the gangs, but the entire ecosystem that supports them.

Who got hit and why

The sanctions name two individuals. The first is Dmytro Rashevskyi, a Ukrainian national who ran 1VPNS. The Treasury says Rashevskyi used fake identities to buy infrastructure from companies that might otherwise have refused to work with him — largely because internet service providers had complained about illegal activity coming from 1VPNS servers.

The second is Yegeniy Vladimirovich Silayev, a Belarusian national. Silayev isn’t affiliated with 1VPNS, but he’s accused of selling “cryptors” — software that cloaks malware as harmless files, making it far harder for antivirus tools to detect. Think of it as a digital disguise kit for malicious code.

What the sanctions actually do

For anyone in the U.S., doing business with these designees is now off the table. That’s the immediate legal effect. But sanctions carry another weight, too: a reputational hit that often scares off customers and partners. In the cybercrime world, where trust is already thin, being blacklisted by Washington can be a serious blow to revenue.

The Treasury didn’t name specific ransomware groups that used 1VPNS. It did say that many gangs bought internet infrastructure from the service, and that the VPN was marketed on dark web forums for its ability to support botnets and scammers of all stripes — all while promising total anonymity.

Not a new operation

This isn’t the first time 1VPNS has been in the crosshairs. In May, European law enforcement agencies and the FBI took the service down, saying it had long been a haven for fraudsters and ransomware operators. The service has operated since 2014, and its selling point was simple: no logs, no cooperation with law enforcement.

Rashevskyi marketed 1VPNS as low-risk precisely because “it does not keep logs of users’ identities or activities, and that it refuses to cooperate with law enforcement investigations into illegal activity originating from the servers it rents to customers,” according to the Treasury.

VPNs themselves aren’t evil, of course. Millions of people use them for privacy and security. But like any powerful tool, they can be twisted for malicious ends. The question is how far governments will go to police that gray zone.

Why this approach matters

Targeting infrastructure providers is a smart play. Instead of chasing individual hackers — who often operate from countries with little extradition appetite — the U.S. and its allies are cutting off the services that make large-scale attacks possible. Disrupt one VPN provider, and you disrupt operations for dozens of gangs at once.

That’s the theory, anyway. In practice, the effects can be harder to measure. Cybercriminals are adaptable; they’ll likely move to other services or build their own. But each sanction, each takedown, raises the cost of doing business in the underground economy.

For U.S. critical infrastructure providers — the hospitals, water systems and power grids that have been hit repeatedly — the hope is that these measures will eventually make ransomware less profitable. That’s a long game, and Monday’s action is just one move on the board.

If you’re watching the broader fight against ransomware, this is a trend worth following. The U.S. has increasingly used sanctions as a tool against cybercrime, and the list of designated entities keeps growing. For more on how these operations unfold, check out our coverage of ransomware attack response and cybercrime sanctions enforcement.

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ToxicPanda 2.0: The Android Trojan That Just Got a Whole Lot Scarier

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ToxicPanda 2.0 Android malware

The Numbers Behind ToxicPanda 2.0

It’s not every day a piece of malware goes from targeting 16 apps to 140. But that’s exactly what Zimperium‘s zLabs team found when they dissected ToxicPanda 2.0, the latest iteration of a nasty Android banking trojan. The research dropped on August 19, and it’s already turning heads in the mobile security world.

The expanded target list includes 140 banking and cryptocurrency apps specifically targeted for PIN theft. That’s not the whole story either. The malware also uses overlay-based credential theft against 349 financial institutions spread across 16 countries, with the heaviest concentration in Pakistan, South Africa, Mexico, Nigeria, and India.

Think about that for a second. The first ToxicPanda variant was a relatively small operation. This one is a full-blown industrial-scale phishing machine.

How the Attack Works

When a victim opens one of the targeted apps, ToxicPanda 2.0 reaches out to its command-and-control server and pulls down a malicious HTML overlay. The overlay looks like a legitimate login page, but it’s designed to capture credentials and PINs. The user thinks they’re typing their password into their bank’s app. They’re actually handing it to an attacker.

But that’s just the entry point. The real innovation in this variant is how it abuses the Android Accessibility Service.

Accessibility Service Abuse: A New Attack Vector

The Accessibility Service is a legitimate feature designed to help users with disabilities interact with their devices. ToxicPanda 2.0 turns it into a backdoor. According to the Zimperium report, the malware uses this service to enable wireless debugging, which then becomes a route to shell access.

“Once the malware gains shell user permissions, it starts executing high-privilege commands directly through the ADB [Android Debug Bridge] daemon,” the report explains. “The malware bypasses standard Android runtime consent prompts to grant itself broad permissions, neutralize OS background restrictions, silently enable critical components, and enforce persistence.”

In plain English: the malware gives itself superpowers without asking for permission. It can disable battery optimizations, keep itself running in the background, and make sure it survives reboots.

PIN Theft via Screen Overlay

Another new trick up its sleeve is stealing device lock credentials. Using a screen overlay attack, ToxicPanda 2.0 captures the victim’s PIN, pattern, or password when they unlock their phone. This gives the attacker persistent access to the device, even after the initial infection is cleaned up.

Combine that with the banking app overlays, and you’ve got a two-pronged attack: one for the device, one for the apps on it.

Why This Matters for Enterprises

Bradley Smith, deputy CISO at BeyondTrust, pointed out something crucial about this variant. “What stands out to me in this research is that ToxicPanda 2.0 does not break Android, it operates Android,” he said. “We’ve been seeing this pattern across mobile threats all year: abuse of legitimate platform features, accessibility services above all, rather than exploitation of vulnerabilities. There is no patch for a feature working as designed, so the control plane must move from patching to governing who and what gets those grants.”

That’s a sobering thought. You can’t patch your way out of this one. The features the malware abuses are working exactly as Google intended. The only defense is controlling who gets access to them in the first place.

Three Controls to Mitigate ToxicPanda

Smith offered three practical steps for enterprises looking to reduce their exposure:

  • Block sideloading on any device enrolled in corporate identity. This cuts off the primary infection vector.
  • Treat accessibility service grants as privileged access events, subject to logging and review. If an app suddenly asks for accessibility permissions, someone should be reviewing that request.
  • Alert when developer options or wireless debugging switch on across the managed fleet. This is possible via mobile device management (MDM).

These aren’t exotic controls. They’re basic hygiene, but they’re the kind of thing that gets overlooked until something like ToxicPanda 2.0 shows up.

The Bigger Picture: Mobile Threats Are Evolving

ToxicPanda 2.0 is part of a broader trend that security researchers have been tracking all year. Attackers are moving away from exploiting vulnerabilities and toward abusing legitimate features. Accessibility services, wireless debugging, ADB — these are all standard Android tools. They’re not bugs. They’re features, and that’s exactly why they’re so dangerous.

For users, the takeaway is simple: be careful what you install, especially if you’re sideloading APKs from outside the Google Play Store. For enterprises, the message is even clearer. The old patching mindset won’t cut it anymore. You need to govern access to these powerful features, log their use, and alert when something looks off.

ToxicPanda 2.0 might not be the most sophisticated malware we’ve seen this year, but it’s a wake-up call. The attack surface is bigger than ever, and it’s not going to shrink on its own.

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AI-Powered Attacks on Siemens PLCs: What ICS Operators Need to Know Now

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Siemens PLC attacks

The Warning: AI Is Now Writing Exploit Scripts for Siemens S7 PLCs

Industrial control system (ICS) operators are facing a new kind of threat. Adversaries are using artificial intelligence to craft exploitation scripts specifically targeting Siemens S7 Series programmable logic controllers (PLCs). This isn’t a theoretical risk. It’s happening now, and it’s forcing a hard look at how critical infrastructure defends itself.

A joint advisory from CISA, the FBI, and other agencies—published on August 19—spells out the danger. Sectors like manufacturing, energy, water and wastewater, and food and agriculture rely heavily on these PLCs. The potential fallout is severe: disrupted industrial processes, safety incidents, unplanned downtime, equipment damage, and compromised sensitive data. In the worst cases, that translates to real-world harm—water service interruptions, energy grid instability.

How the Attacks Unfold: From Scanning to Lateral Movement

The attack chain is methodical. Threat actors first use legitimate scanning services like Censys and ZoomEye to find internet-exposed or poorly segmented Siemens S7 Series PLCs. Once they’ve identified a target, they deploy AI-generated scripts to probe for vulnerabilities. The advisory is blunt: PLCs connected to the internet are at high risk.

But the AI involvement doesn’t stop at initial access. It’s also being used to move laterally within networks and evade defenses. Attackers are combining open-source industrial automation libraries with AI-assisted scripting to create custom tools that mimic legitimate OT monitoring solutions. These tools can read and write to Siemens S7 PLC memory, configuration data, and ladder logic programs via the S7comm protocol.

The goal, according to the authoring agencies, appears to be persistent reconnaissance. They’re mapping out critical environments, understanding how they work, and positioning themselves for future disruptive operations. As the advisory states: “For capability development, actors are testing and refining their exploitation techniques against specific PLC models… For operational effects, actors are leveraging read access to understand target environments, enabling preparation and positioning for future write operations.”

Why This Marks a Turning Point in ICS Attacks

The use of AI to generate exploit scripts is a genuine evolution in threat actor capabilities. It lowers the barrier to entry. Scripts that once required deep PLC expertise can now be produced—or modified—with far less effort. This is a shift from manual, labor-intensive hacking to something faster and more scalable.

This advisory follows earlier warnings about Iranian state-backed hackers targeting internet-exposed industrial systems from brands like Rockwell Automation, Allen-Bradley, Schneider Electric, and Siemens. Those warnings were linked to attacks on water systems across multiple US states in early August.

Mitigation Steps: What ICS Operators Must Do Now

The advisory lays out a series of urgent measures. These aren’t optional checklist items; they’re essential to reducing risk. Key actions include:

  • Proactively hunt for indicators of compromise—watch for connections from non-engineering workstations, repeated connection attempts with varying parameters, or traffic from unexpected countries or IP ranges.
  • Conduct an immediate inventory of all Siemens S7 Series PLCs in your environment and apply critical patches.
  • Ensure PLCs are not accessible from the internet. Separate OT and IT networks entirely.
  • Strengthen access controls: restrict PLC access to authorized engineering workstations and enable multi-factor authentication for all remote access to OT networks.
  • Disable web servers and unused communication protocols on Siemens S7 devices.
  • Contact Siemens for model-specific hardening recommendations.

Special attention is needed for operators who work with third-party service providers or system integrators. These vendors may have remote access to PLCs, and asset owners may not even realize their systems are exposed. That’s a dangerous blind spot.

Expert Perspective: The Real Lesson Isn’t About AI

Benny Czarny, CEO and founder of OPSWAT, offers a grounded take. He argues that AI just makes it easier for attackers to create and modify scripts targeting PLCs. The barrier to attacking industrial systems is falling. But his conclusion isn’t to chase better AI detection.

“The real lesson for me is still the same: stop giving attackers a path to the critical system in the first place,” he said. “And do not rely on antivirus and sandboxes to protect your data flow.”

That’s a sobering reminder. The fundamentals of ICS security—network segmentation, access control, patching—still matter most. AI may change the speed and sophistication of attacks, but it doesn’t change the basics of defense. For those managing critical infrastructure protection, the message is clear: assume your systems are targets, and act accordingly.

For more on how to secure operational technology environments, check out our guides on OT threat intelligence and PLC vulnerabilities.

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