DSLR Cameras Are Susceptible to Ransomware Attacks, New Research Finds

DSLR Cameras Are Susceptible to Ransomware Attacks, New Research Finds

Cameras could be high-priority targets because owners are more likely to pay to get their valuable photos back, researchers said.

As ransomware scares continue to halt operations of major companies and large cities across the country, researchers have found yet another device that is vulnerable to hackers seeking payment to unlock systems: DSLR cameras.

Security researchers with Check Point Software Technologies were able to install harmful malware onto cameras if they were in close proximity to their WiFi networks or if they had already hijacked a computer through a USB drive. The report, issued on Sunday, notes that DSLR cameras are “embedded digital devices,” putting them at risk just like every other IoT device.

“Our research shows that any ‘smart’ device, in our case a DSLR camera, is susceptible to attacks,” the report reads. “The combination of price, sensitive contents, and wide-spread consumer audience makes cameras a lucrative target for attackers.”

Read more: IoT Security: Current Threats and How to Overcome Them

The team, led by researcher Eyal Itkin, demonstrated in a video how a hacker could encrypt images on a SD card and make them inaccessible to the camera’s owner through a WiFi network. Because cameras are “the guardians of our precious moments,” Itkin wrote, hackers know that the owner does not want to lose the photos and therefore is more likely to pay the ransom fee.

Canon was alerted to the vulnerability in their “picture transfer protocol” in March, and Check Point worked with the company to develop a security patch that was released last week, according to The Verge. The researchers noted that while they only worked with Canon, the protocol is “standardized” and embedded in other cameras sold by Canon’s competitors.

“Based on our results, we believe that similar vulnerabilities can be found in the PTP implementations of other vendors as well,” the report reads.

About the Author

Haley Samsel is an Associate Content Editor for the Infrastructure Solutions Group at 1105 Media.

Featured

  • Report: 47 Percent of Security Service Providers Are Not Yet Using AI or Automation Tools

    Trackforce, a provider of security workforce management platforms, today announced the launch of its 2025 Physical Security Operations Benchmark Report, an industry-first study that benchmarks both private security service providers and corporate security teams side by side. Based on a survey of over 300 security professionals across the globe, the report provides a comprehensive look at the state of physical security operations. Read Now

    • Guard Services
  • Identity Governance at the Crossroads of Complexity and Scale

    Modern enterprises are grappling with an increasing number of identities, both human and machine, across an ever-growing number of systems. They must also deal with increased operational demands, including faster onboarding, more scalable models, and tighter security enforcement. Navigating these ever-growing challenges with speed and accuracy requires a new approach to identity governance that is built for the future enterprise. Read Now

  • Eagle Eye Networks Launches AI Camera Gun Detection

    Eagle Eye Networks, a provider of cloud video surveillance, recently introduced Eagle Eye Gun Detection, a new layer of protection for schools and businesses that works with existing security cameras and infrastructure. Eagle Eye Networks is the first to build gun detection into its platform. Read Now

  • Report: AI is Supercharging Old-School Cybercriminal Tactics

    AI isn’t just transforming how we work. It’s reshaping how cybercriminals attack, with threat actors exploiting AI to mass produce malicious code loaders, steal browser credentials and accelerate cloud attacks, according to a new report from Elastic. Read Now

  • Pragmatism, Productivity, and the Push for Accountability in 2025-2026

    Every year, the security industry debates whether artificial intelligence is a disruption, an enabler, or a distraction. By 2025, that conversation matured, where AI became a working dimension in physical identity and access management (PIAM) programs. Observations from 2025 highlight this turning point in AI’s role in access control and define how security leaders are being distinguished based on how they apply it. Read Now

New Products

  • ResponderLink

    ResponderLink

    Shooter Detection Systems (SDS), an Alarm.com company and a global leader in gunshot detection solutions, has introduced ResponderLink, a groundbreaking new 911 notification service for gunshot events. ResponderLink completes the circle from detection to 911 notification to first responder awareness, giving law enforcement enhanced situational intelligence they urgently need to save lives. Integrating SDS’s proven gunshot detection system with Noonlight’s SendPolice platform, ResponderLink is the first solution to automatically deliver real-time gunshot detection data to 911 call centers and first responders. When shots are detected, the 911 dispatching center, also known as the Public Safety Answering Point or PSAP, is contacted based on the gunfire location, enabling faster initiation of life-saving emergency protocols.

  • Unified VMS

    AxxonSoft introduces version 2.0 of the Axxon One VMS. The new release features integrations with various physical security systems, making Axxon One a unified VMS. Other enhancements include new AI video analytics and intelligent search functions, hardened cybersecurity, usability and performance improvements, and expanded cloud capabilities

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.