...the Ferretti Group filed its own complaint... “Ferretti SpA considers itself an aggrieved party, having been wronged by the unlawful and improper installation of surveillance devices within its offices,” the statement said. more
Wednesday, June 11, 2025
Bugging Devices Found at Italian Yacht Builder Ferretti
...the Ferretti Group filed its own complaint... “Ferretti SpA considers itself an aggrieved party, having been wronged by the unlawful and improper installation of surveillance devices within its offices,” the statement said. more
Laptop Microphone Could Be Spying — Through Walls — Even When It’s Off
• The attack is surprisingly accessible: Researchers achieved over 94% accuracy in speech recognition using simple equipment like copper tape antennas, making this vulnerability exploitable by anyone with basic technical knowledge.
• Your “off” microphone might still be listening: Testing revealed that microphones often activate automatically when playing audio or video content, and some remain active even when apps appear muted. more
Spy Device Can Read Book Text from Nearly a Mile Away
As detailed in a new paper published in the journal Physical Review Letters, the team used interferometry, a commonly used technique in the world of astronomy that uses superimposed waves of light to create interference patterns, to develop the spy system.... Put simply, researchers applied a technology that space observatories use to a ground-based laser system to zoom across vast distances — with promising and somewhat creepy results. more
OpenAI's New Threat Report is Full of Spies, Scammers, and Spammers
Ever wonder what spies and scammers are doing with ChatGPT?
OpenAI just dropped a wild new threat report detailing how threat actors from China, Russia, North Korea, and Iran are using its models for everything from cyberattacks to elaborate schemes, and it reads like a new season of Mr. Robot.
The big takeaway: AI is making bad actors more efficient, but it's also making them sloppier. By using ChatGPT, they’re leaving a massive evidence trail that gives OpenAI an unprecedented look inside their playbooks.
1. North Korean-linked actors faked remote job applications. They automated the creation of credible-looking résumés for IT jobs and even used ChatGPT to research how to bypass security in live video interviews using tools like peer-to-peer VPNs and live-feed injectors.
2. A Chinese operation ran influence campaigns and wrote its own performance reviews. Dubbed “Sneer Review,” this group generated fake comments on TikTok and X to create the illusion of organic debate. The wildest part? They also used ChatGPT to draft their own internal performance reviews, detailing timelines and account maintenance tasks for the operation.
3. A Russian-speaking hacker built malware with a chatbot. In an operation called “ScopeCreep,” an actor used ChatGPT as a coding assistant to iteratively build and debug Windows malware, which was then hidden inside a popular gaming tool.
4. Another Chinese group fueled U.S. political division. “Uncle Spam” generated polarizing content supporting both sides of divisive topics like tariffs. They also used AI image generators to create logos for fake personas, like a “Veterans for Justice” group critical of the current US administration.
5. A Filipino PR firm spammed social media for politicians. “Operation High Five” used AI to generate thousands of pro-government comments on Facebook and TikTok, even creating the nickname “Princess Fiona” to mock a political opponent.
Why this matters: It’s a glimpse into the future of cyber threats and information warfare. AI lowers the barrier to entry, allowing less-skilled actors to create more sophisticated malware and propaganda. A lone wolf can now operate with the efficiency of a small team. This type of information will also likely be used to discredit or outright ban local open-source AI if we’re not careful to defend them (for their positive uses).
Now get this: The very tool these actors use to scale their operations is also their biggest vulnerability. This report shows that monitoring how models are used is one of the most powerful tools we have to fight back. Every prompt, every code snippet they ask for help with, and every error they try to debug is a breadcrumb. They're essentially telling on themselves, giving researchers a real-time feed of their tactics. For now, the spies using AI are also being spied on by AI.
Any Wall Can be Turned Into a Camera...
An ordinary camera could soon take photos of things that are out of sight, thanks to algorithms that interpret how light bounces off a wall.
“Normally, when light bounces off rough surfaces, like walls, it scrambles the scene into a messy blur,” says Wenwen Li at the University of Science and Technology of China, Hefei. “Our goal was to ‘unscramble’ that blur and recover the hidden scene. Think of it like turning a rough wall into a mirror.”
The method involves mapping the geometry and reflectance of the wall surface by taking many images under different lighting conditions, so the researchers could predict how each bump and groove would distort reflected light. Once they had created a digital model of the surface, the team devised equations to reconstruct a hidden image from the scrambled light pattern
Li and her colleagues have successfully demonstrated real-time imaging at 25 frames per second using an ordinary camera, like one found in a smartphone. more
Personnel Officer, "So, What Qualifies You for this National Security Position?"
His professional experience prior to joining a U.S. national security agency was remarkably similar to that of Thomas Fugate, who has just been appointed to lead terror prevention at the Department of Homeland Security.
A cybersecurity graduate of Florida Polytechnic University, Nathan Vilas Laatsch is the second national security official in two days whom The Daily Beast has revealed to have virtually no professional experience other than working at a grocery store before being hired by a U.S national security agency at the age of 22.
Laatsch, now 28, a computer scientist with “top secret” clearance at the Defense Intelligence Agency (DIA) in Virginia, was hired under the last Trump administration. He was arrested last week, accused of attempting to pass sensitive information to Germany’s Federal Intelligence Service (BND). more
FBI: Home Internet Connected Devices Facilitate Criminal Activity
The Federal Bureau of Investigation (FBI) is issuing this Public Service Announcement to warn the public about cyber criminals exploiting Internet of Things (IoT) devices connected to home networks to conduct criminal activity using the BADBOX 2.0 botnet. Cyber criminals gain unauthorized access to home networks through compromised IoT devices, such as TV streaming devices, digital projectors, aftermarket vehicle infotainment systems, digital picture frames and other products. Most of the infected devices were manufactured in China. Cyber criminals gain unauthorized access to home networks by either configuring the product with malicious software prior to the users purchase or infecting the device as it downloads required applications that contain backdoors, usually during the set-up process. Once these compromised IoT devices are connected to home networks, the infected devices are susceptible to becoming part of the BADBOX 2.0 botnet and residential proxy services known to be used for malicious activity.
WHAT IS BADBOX 2.0 BOTNET
BADBOX 2.0 was discovered after the original BADBOX campaign was disrupted in 2024. BADBOX was identified in 2023, and primarily consisted of Android operating system devices that were compromised with backdoor malware prior to purchase. BADBOX 2.0, in addition to compromising devices prior to purchase, can also infect devices by requiring the download of malicious apps from unofficial marketplaces. The BADBOX 2.0 botnet consists of millions of infected devices and maintains numerous backdoors to proxy services that cyber criminal actors exploit by either selling or providing free access to compromised home networks to be used for various criminal activity.
INDICATORS
The public is urged to evaluate IoT devices in their home for any indications of compromise and consider disconnecting suspicious devices from their networks. more
Friday, June 6, 2025
Behold The Amazing "AIR" Key
Corporate Spy v Spy v Spy v Spy, or Spy Cubed
The complaint accuses Deel of targeting, infiltrating, and compromising four other competitors, in addition to Rippling.
The revised complaint doesn’t name all of the four other alleged victims, except cryptocurrency-based tax and payroll compliance company, Toku. Toku is suing its competitor LiquiFi, also alleging corporate espionage and that Deel was involved...
So, A Man Steals A Cherry-Picker...
A man carjacked an L.A. County Sheriff’s Department bucket truck early Wednesday morning while a sheriff’s deputy was precariously positioned high above the ground in the bucket, authorities said....
Two undercover deputies were using the truck to remove concealed cameras when a man jumped into the vehicle, said he had to go to the hospital and began to drive away, law enforcement sources told The Times.
Supermarket Facial Recognition: "Attention. Miscreant in Asile 5."
The trial covered 25 supermarkets in which more than 225.9 million faces were scanned ... the system was effective at reducing harmful behavior, especially reducing serious violent incidents...The system only identified people who have engaged in seriously harmful behavior, while people under 18 or deemed vulnerable were not included on the list.
The Privacy Commissioner’s Office is currently working on New Zealand’s first code of practice for regulating biometric data, slated to be released by mid-2025. more
Book: Cyber for Builders: The Essential Guide to Building a Cybersecurity Startup
Cyber for Builders: The Essential Guide to Building a Cybersecurity Startup
From the Off-Topic Files
This dataset contains over 7500 fart recordings that were collected over a period of 37 months.
Suggested Uses
• Unsupervised signal classification - You can experiment with categorizing farts without any preexisting knowledge of defining characteristics and potentially apply these learnings to other signal types - speech, radar, tv, radio, light, EEG.
• Supervised signal recognition - This dataset could be used to experiment with developing deep learning models capable of recognizing whether a sound is a fart. An interesting property of farts is variable frequencies and inconsistent durations.
• Sound effects creation - This dataset could be used by sound designers or audio engineers as a basis to create new sound effects for movies, video games, or other media. You could also simply use it as a publicly available and free source of farts.
• Education and outreach - Educators and scientists can use this dataset as an approach to better engage their audiences in signal processing and deep learning.
License
• This data is publicly and freely available to use and modify however you would like. There is no license and no limitations for use. I would appreciate being notified of this data being used publicly, purely for my own entertainment. more