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🚨🚨 A cybersecurity professional taking down a drone which is flying by writing and running a python script Is it "Absolutely Possible"? ​Yes, this is entirely possible in the real world, and cybersecurity researchers demonstrate it frequently. Most commercial or consumer drones rely on radio frequencies (RF), Wi-Fi, or...

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PhoneHackz

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694,900 görüntüleme • 6 gün önce •via TikTok

Bilim & Teknoloji#androidtips#phonehacks#techtips#mobilet#cybersecurity
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The first thing many of us do when we arrive somewhere is connect to Wi-Fi — airports, cafés, offices, lounges. But here’s the reality: Wi-Fi can be faked. With just a phone, cybercriminals can clone a network, force your device to disconnect from the real one, and redirect you to a fake login page that captures your personal details. Public Wi-Fi isn’t always what it seems. ✔️ Verify network names ✔️ Avoid duplicate hotspots ✔️ Be cautious with “free” Wi-Fi Awareness is your first layer of security. #CyberSecurity #DigitalSafety #PublicWiFi #TechAwareness #InfoSec
2:04

The first thing many of us do when we arrive somewhere is connect to Wi-Fi — airports, cafés, offices, lounges. But here’s the reality: Wi-Fi can be faked. With just a phone, cybercriminals can clone a network, force your device to disconnect from the real one, and redirect you to a fake login page that captures your personal details. Public Wi-Fi isn’t always what it seems. ✔️ Verify network names ✔️ Avoid duplicate hotspots ✔️ Be cautious with “free” Wi-Fi Awareness is your first layer of security. #CyberSecurity #DigitalSafety #PublicWiFi #TechAwareness #InfoSec

Bright Mawudor,PhD

13,745 görüntüleme • 9 ay önce

Get Wi-Fi password via WPS Button attack using NetHunter This scenario requires you to have physical access to a router that has the WPS feature enabled or to be in the Access Point surrounding when WPS Push Button is pressed to successfully obtain the wi-fi network password
0:48

Get Wi-Fi password via WPS Button attack using NetHunter This scenario requires you to have physical access to a router that has the WPS feature enabled or to be in the Access Point surrounding when WPS Push Button is pressed to successfully obtain the wi-fi network password

Mobile Hacker

79,747 görüntüleme • 3 yıl önce

THIS DEVELOPER JUST REVEALED THE WEIRD LITTLE GADGET HE USES TO COLLECT WI-FI HANDSHAKES. Some security researchers reportedly earn up to $15,000/month finding vulnerabilities companies missed. At first glance it looks like a Tamagotchi. But instead of eating food… it “eats” Wi-Fi networks. The more Wi-Fi handshakes it captures, the more effective it becomes at finding nearby networks. Security researchers use tools like this to audit wireless security and identify weaknesses before attackers do. The surprising part? Companies pay real money for valid security findings. Some bug bounty rewards can range from hundreds to thousands of dollars depending on the impact. Here’s how you can build the same workflow with Claude
0:55

THIS DEVELOPER JUST REVEALED THE WEIRD LITTLE GADGET HE USES TO COLLECT WI-FI HANDSHAKES. Some security researchers reportedly earn up to $15,000/month finding vulnerabilities companies missed. At first glance it looks like a Tamagotchi. But instead of eating food… it “eats” Wi-Fi networks. The more Wi-Fi handshakes it captures, the more effective it becomes at finding nearby networks. Security researchers use tools like this to audit wireless security and identify weaknesses before attackers do. The surprising part? Companies pay real money for valid security findings. Some bug bounty rewards can range from hundreds to thousands of dollars depending on the impact. Here’s how you can build the same workflow with Claude

kiosa

11,730 görüntüleme • 5 ay önce

The "Wetruegun" Drone School has developed an FPV mod for GTA V that allows players to create their own missions and customize the drone to their preferences. You can connect a real drone controller to the game. It is noted that this is not a replacement for real training, but a great way to relax.
1:19

The "Wetruegun" Drone School has developed an FPV mod for GTA V that allows players to create their own missions and customize the drone to their preferences. You can connect a real drone controller to the game. It is noted that this is not a replacement for real training, but a great way to relax.

Slava 🇺🇦

20,863 görüntüleme • 6 ay önce

Not all Wi-Fi is safe Wi-Fi. Especially the WPA2 protocols Public networks can be intercepted, meaning someone on the same Wi-Fi could potentially see what you’re doing including login credentials and sensitive data. This is done on an unexpected traffic which they can depreciate your portal or redirect you to a fake login page if you are a primary target. If you’re sending sensitive information: • Use your phone as hotspot • Use a trusted private Wi-Fi • Avoid public networks and forget them when done with it. . If the page looks real or depreciating to HTTP, look again.
1:13

Not all Wi-Fi is safe Wi-Fi. Especially the WPA2 protocols Public networks can be intercepted, meaning someone on the same Wi-Fi could potentially see what you’re doing including login credentials and sensitive data. This is done on an unexpected traffic which they can depreciate your portal or redirect you to a fake login page if you are a primary target. If you’re sending sensitive information: • Use your phone as hotspot • Use a trusted private Wi-Fi • Avoid public networks and forget them when done with it. . If the page looks real or depreciating to HTTP, look again.

Bright Mawudor,PhD

21,381 görüntüleme • 9 ay önce

This Python script helps you better understand how embeddings work for SEO. Input a sentence + a query and BERT will calculate a content "Similarity Score": Search engines use embedding models to translate your content into numeric values. This is how they're able to mathematically determine whether a page on your site is actually relevant to a query someone is searching for. Once both the content and query are run through embeddings - they can calculate the "cosine similarity" or how similar the two entities are to each one. With this Python script, you can actually visualize how cosine similarity works for yourself. To you use you'll simply: 1. Save the Python script to a text file 2. Use your Terminal to run the script 3. You'll be prompted for both a "Sentence" and "Query" 4. Once entered, the script will calculate a "Similarity Score" between the text and query. This is how relevant your sentence is for the target keyword. By running this, you'll see that search engines are able to come with an calculation of content relevance. You'll need to think about the content on your site the same way - which sections have high scores and which ones have low ones? I've linked the Python script in the comments below. No coding knowledge is required and it walks you step by step on how to implement it.
2:37

This Python script helps you better understand how embeddings work for SEO. Input a sentence + a query and BERT will calculate a content "Similarity Score": Search engines use embedding models to translate your content into numeric values. This is how they're able to mathematically determine whether a page on your site is actually relevant to a query someone is searching for. Once both the content and query are run through embeddings - they can calculate the "cosine similarity" or how similar the two entities are to each one. With this Python script, you can actually visualize how cosine similarity works for yourself. To you use you'll simply: 1. Save the Python script to a text file 2. Use your Terminal to run the script 3. You'll be prompted for both a "Sentence" and "Query" 4. Once entered, the script will calculate a "Similarity Score" between the text and query. This is how relevant your sentence is for the target keyword. By running this, you'll see that search engines are able to come with an calculation of content relevance. You'll need to think about the content on your site the same way - which sections have high scores and which ones have low ones? I've linked the Python script in the comments below. No coding knowledge is required and it walks you step by step on how to implement it.

Chris Long

13,210 görüntüleme • 2 yıl önce

BLUETOOTH PENTEST This is my favorite tool called Gretel. One of the PenTest tools I developed. It is used to attack bluetooth devices. Suppose there is a loud Bluetooth speaker in public or loud music from a neighbor and you’re within range, and its address is B6:3C:2C:R1:2B:07. You can shut it off like this. Attack Steps - Scan for Bluetooth Devices: Use the Gretel script to scan for nearby Bluetooth devices, including the loud Bluetooth speaker. - Select the Device: Identify the loud Bluetooth speaker from the list of discovered devices using its MAC address (e.g., B6:3C:2C:R1:2B:07). - Flood the Device: Specify the number of ping requests you want to send to the speaker. This flooding can overwhelm the speaker's Bluetooth connection, causing it to become unresponsive or disconnect. - Disconnect the Device: After sending the specified number of pings, the script will attempt to disconnect the speaker from any active connections PoC: I’m using my C10 Bluetooth speaker and I’m trying to connect to it using my phone and connection failed because attack was ongoing; when attack ended, device connected successfully 🤝🙌🏼🙌🏼. This is for educational purpose. Tool is 100% working
5:58

BLUETOOTH PENTEST This is my favorite tool called Gretel. One of the PenTest tools I developed. It is used to attack bluetooth devices. Suppose there is a loud Bluetooth speaker in public or loud music from a neighbor and you’re within range, and its address is B6:3C:2C:R1:2B:07. You can shut it off like this. Attack Steps - Scan for Bluetooth Devices: Use the Gretel script to scan for nearby Bluetooth devices, including the loud Bluetooth speaker. - Select the Device: Identify the loud Bluetooth speaker from the list of discovered devices using its MAC address (e.g., B6:3C:2C:R1:2B:07). - Flood the Device: Specify the number of ping requests you want to send to the speaker. This flooding can overwhelm the speaker's Bluetooth connection, causing it to become unresponsive or disconnect. - Disconnect the Device: After sending the specified number of pings, the script will attempt to disconnect the speaker from any active connections PoC: I’m using my C10 Bluetooth speaker and I’m trying to connect to it using my phone and connection failed because attack was ongoing; when attack ended, device connected successfully 🤝🙌🏼🙌🏼. This is for educational purpose. Tool is 100% working

Nana Sei Anyemedu

222,644 görüntüleme • 2 yıl önce

A Russian review of a Ukrainian Hornet strike drone. The drone was either brought down by electronic warfare or crashed on its own, as there is no visible damage to the airframe. The commentator highlighted three key points: - The warhead is designed to detonate if power is cut. According to the commentator, an initiation circuit activates when the power supply is interrupted: "When disarming it, remove the detonator first." - The drone is very well made. The commentator praises the quality of the airframe, wiring, and overall workmanship. - Always check the drone for a GPS tracker.
5:13

A Russian review of a Ukrainian Hornet strike drone. The drone was either brought down by electronic warfare or crashed on its own, as there is no visible damage to the airframe. The commentator highlighted three key points: - The warhead is designed to detonate if power is cut. According to the commentator, an initiation circuit activates when the power supply is interrupted: "When disarming it, remove the detonator first." - The drone is very well made. The commentator praises the quality of the airframe, wiring, and overall workmanship. - Always check the drone for a GPS tracker.

𝔗𝔥𝔢 𝕯𝔢𝔞𝔡 𝕯𝔦𝔰𝔱𝔯𝔦𝔠𝔱△ 🇬🇪🇺🇦🇺🇲🇬🇷

83,469 görüntüleme • 5 ay önce

🛸Introducing Flying Spinner Mini Drone is a type of mini drone or flying toy that is designed to fly in a circular pattern and then return to the user like a boomerang. It is also known as a Mini UFO. 🎁Get it👉
0:34

🛸Introducing Flying Spinner Mini Drone is a type of mini drone or flying toy that is designed to fly in a circular pattern and then return to the user like a boomerang. It is also known as a Mini UFO. 🎁Get it👉

Jyvron

4,508,681 görüntüleme • 3 yıl önce

Land the drone now, or we will force it to the ground.. A drone was seen flying near the stage where UP CM Yogi Adityanath was suppose to shower flower petals on Kanwariyas in Meerut, UP. A policeman could be heard asking the operator to bring the drone down.
1:10

Land the drone now, or we will force it to the ground.. A drone was seen flying near the stage where UP CM Yogi Adityanath was suppose to shower flower petals on Kanwariyas in Meerut, UP. A policeman could be heard asking the operator to bring the drone down.

Piyush Rai

66,745 görüntüleme • 3 ay önce

Here's an update on the downing of a U.S. Apache helicopter over the Strait of Hormuz: Iran used a drone to bring it down, most likely in a kamikaze-style attack in which the drone flew directly into the helicopter. The drone in question is widely believed to be a Shahed-136. Although relatively large, the Shahed-136 has a small radar cross-section, making it difficult to detect. It likely approached at high speed and very low altitude, catching the helicopter crew by surprise.
0:27

Here's an update on the downing of a U.S. Apache helicopter over the Strait of Hormuz: Iran used a drone to bring it down, most likely in a kamikaze-style attack in which the drone flew directly into the helicopter. The drone in question is widely believed to be a Shahed-136. Although relatively large, the Shahed-136 has a small radar cross-section, making it difficult to detect. It likely approached at high speed and very low altitude, catching the helicopter crew by surprise.

Global Strategy

12,887 görüntüleme • 5 ay önce

In today's episode of drone wars: Russian FPV drone gets sticked to a Ukrainian unmanned ground vehicle (UGV) after impacting it without detonating. The drone operator attempts to shrug off the intruder by running rings with his vehicle. To no avail. To the rescue of the UGV comes a Ukrainian quadcopter equipped with a rope and hook. Through surgically-precise maneuvring with the attached equipement, the Russian FPV drone is picked up and safely disposed away from the ground vehicle, allowing it to continue its operations.
1:34

In today's episode of drone wars: Russian FPV drone gets sticked to a Ukrainian unmanned ground vehicle (UGV) after impacting it without detonating. The drone operator attempts to shrug off the intruder by running rings with his vehicle. To no avail. To the rescue of the UGV comes a Ukrainian quadcopter equipped with a rope and hook. Through surgically-precise maneuvring with the attached equipement, the Russian FPV drone is picked up and safely disposed away from the ground vehicle, allowing it to continue its operations.

Status-6 (War & Military News)

24,879 görüntüleme • 2 ay önce

You do not need an RF jammer or a cyber exploit to knock a drone out of the sky. In 2015, security researchers proved that playing an 8.2 kHz sound wave at an unprotected flight controller forces it to drop instantaneously. This is an acoustic resonance attack, and it exploits a mechanical vulnerability in the micro-electro-mechanical systems (MEMS) inside consumer gyroscopes and hard drives. 1. The anatomy of a vibrating silicon spring Inside a drone's flight controller sits an Inertial Measurement Unit (IMU). The core of that IMU is a MEMS gyroscope measuring less than four millimeters across. Inside the chip, a microscopic silicon proof mass is suspended above a substrate by silicon micro-springs. The internal drive circuit vibrates this mass back and forth at a known drive frequency. When the drone rotates along its pitch, roll, or yaw axis, the Coriolis force deflects the proof mass toward fixed capacitive comb fingers. The deflection shifts the electrical capacitance by fractions of a femtofarad. The chip's analog front-end converts this capacitance change into voltage, feeds it through an Analog-to-Digital Converter (ADC), and passes raw angular rates to the flight controller over SPI or I2C. 2. The 8.2 kHz acoustic exploit Every physical structure suspended on micro-springs has a mechanical resonant frequency. In a 2015 USENIX Security study, researchers tested 15 commercial MEMS gyroscopes. Seven were vulnerable to acoustic resonance. Gyroscopes from STMicroelectronics (like the L3G4200D) resonated in the audible band between 2.5 kHz and 8.2 kHz along their X and Y sensing axes. When airborne sound matches that mechanical resonant frequency, the acoustic energy transfers directly into the silicon lattice. The proof mass vibrates with severe physical amplitude. The sensing comb fingers saturate the ADC to its maximum railing limits, feeding false angular rates into the flight controller. 3. Why the drone drops The drone's flight controller runs a proportional-integral-derivative (PID) loop at 500 Hz to 1,000 Hz to maintain level flight. When sound noise at 8.2 kHz hit the gyroscope, the sensor reported massive erratic rotation spikes. The PID control loop immediately tried to counteract rotation that did not exist. In real-world flight trials, the controller responded by throttling motors to their minimum and maximum limits simultaneously. The drone lost balance and dropped to the ground instantaneously on all 20 test flights. 4. The same physics in the datacenter In 2018, researchers at Michigan and Zhejiang demonstrated the same physical failure mode on enterprise hard disk drives. In a mechanical hard drive, the read/write head floats on an air bearing less than 10 nanometers above spinning magnetic platters, with track widths narrower than 75 nanometers. Playing an audible 5.0 kHz tone at 115.3 dB SPL caused tracking errors on Western Digital drives. Pumping that tone to 117.2 dB SPL forced off-track vibrations so severe that the drive firmware halted all write operations to prevent physical head crashes on the platters. With sustained acoustic noise, operating systems experienced complete I/O timeouts, remounting ext4 file systems as read-only. 5. The physical constraints and modern defenses Acoustic attacks have clear physical limitations: * Inverse square law: In the drone flight trials, researchers attached a small speaker 10 cm directly above the flight controller at 113 dB SPL. Projecting that sound pressure over 30 meters would require a 140 dB directional acoustic device (LRAD). * Axis isolation: Modern InvenSense gyroscopes resonate in the ultrasonic range (above 26 kHz) along the Z-axis only, which flight software easily counteracts by cross-checking magnetometer yaw data. * Mechanical dampening: Wrapping the IMU in dense silicone grommets or acoustic foam blocks airborne sound pressure before it hits the silicon package. * Asymmetric dual-IMU fusion: Pairing two gyroscopes with mismatched mechanical resonant frequencies (such as 8 kHz and 26 kHz) allows flight software to identify and drop the saturated outlier. Software algorithms cannot filter a corrupted sensor measurement if the silicon spring itself is physically vibrating.
0:37

You do not need an RF jammer or a cyber exploit to knock a drone out of the sky. In 2015, security researchers proved that playing an 8.2 kHz sound wave at an unprotected flight controller forces it to drop instantaneously. This is an acoustic resonance attack, and it exploits a mechanical vulnerability in the micro-electro-mechanical systems (MEMS) inside consumer gyroscopes and hard drives. 1. The anatomy of a vibrating silicon spring Inside a drone's flight controller sits an Inertial Measurement Unit (IMU). The core of that IMU is a MEMS gyroscope measuring less than four millimeters across. Inside the chip, a microscopic silicon proof mass is suspended above a substrate by silicon micro-springs. The internal drive circuit vibrates this mass back and forth at a known drive frequency. When the drone rotates along its pitch, roll, or yaw axis, the Coriolis force deflects the proof mass toward fixed capacitive comb fingers. The deflection shifts the electrical capacitance by fractions of a femtofarad. The chip's analog front-end converts this capacitance change into voltage, feeds it through an Analog-to-Digital Converter (ADC), and passes raw angular rates to the flight controller over SPI or I2C. 2. The 8.2 kHz acoustic exploit Every physical structure suspended on micro-springs has a mechanical resonant frequency. In a 2015 USENIX Security study, researchers tested 15 commercial MEMS gyroscopes. Seven were vulnerable to acoustic resonance. Gyroscopes from STMicroelectronics (like the L3G4200D) resonated in the audible band between 2.5 kHz and 8.2 kHz along their X and Y sensing axes. When airborne sound matches that mechanical resonant frequency, the acoustic energy transfers directly into the silicon lattice. The proof mass vibrates with severe physical amplitude. The sensing comb fingers saturate the ADC to its maximum railing limits, feeding false angular rates into the flight controller. 3. Why the drone drops The drone's flight controller runs a proportional-integral-derivative (PID) loop at 500 Hz to 1,000 Hz to maintain level flight. When sound noise at 8.2 kHz hit the gyroscope, the sensor reported massive erratic rotation spikes. The PID control loop immediately tried to counteract rotation that did not exist. In real-world flight trials, the controller responded by throttling motors to their minimum and maximum limits simultaneously. The drone lost balance and dropped to the ground instantaneously on all 20 test flights. 4. The same physics in the datacenter In 2018, researchers at Michigan and Zhejiang demonstrated the same physical failure mode on enterprise hard disk drives. In a mechanical hard drive, the read/write head floats on an air bearing less than 10 nanometers above spinning magnetic platters, with track widths narrower than 75 nanometers. Playing an audible 5.0 kHz tone at 115.3 dB SPL caused tracking errors on Western Digital drives. Pumping that tone to 117.2 dB SPL forced off-track vibrations so severe that the drive firmware halted all write operations to prevent physical head crashes on the platters. With sustained acoustic noise, operating systems experienced complete I/O timeouts, remounting ext4 file systems as read-only. 5. The physical constraints and modern defenses Acoustic attacks have clear physical limitations: * Inverse square law: In the drone flight trials, researchers attached a small speaker 10 cm directly above the flight controller at 113 dB SPL. Projecting that sound pressure over 30 meters would require a 140 dB directional acoustic device (LRAD). * Axis isolation: Modern InvenSense gyroscopes resonate in the ultrasonic range (above 26 kHz) along the Z-axis only, which flight software easily counteracts by cross-checking magnetometer yaw data. * Mechanical dampening: Wrapping the IMU in dense silicone grommets or acoustic foam blocks airborne sound pressure before it hits the silicon package. * Asymmetric dual-IMU fusion: Pairing two gyroscopes with mismatched mechanical resonant frequencies (such as 8 kHz and 26 kHz) allows flight software to identify and drop the saturated outlier. Software algorithms cannot filter a corrupted sensor measurement if the silicon spring itself is physically vibrating.

Zoe

53,441 görüntüleme • 22 gün önce

THIS GUY BUILT REAL FLYING SWORD DRONES AND CONTROLS THEM WITH HAND GESTURES fan shisan is a physics student in chengdu who coded and built flying drones shaped like actual swords he controls them entirely with hand gestures. no controller or a phone. just his hands wave your hand and the sword follows. point and it flies where you direct it. multiple swords in the air at the same time responding to different gestures he built the gesture recognition system HIMSELF and coded the flight control algorithms. designed the drone hardware in the shape of swords. the gesture tracking uses sensors that read the position and movement of his hands in real time and translate them into flight commands for each drone independently he even built one large enough to ride on a physics student with coding skills just brought something straight out of a kung fu movie into the real world the line between science fiction and side projects is getting thinner every month
0:23

THIS GUY BUILT REAL FLYING SWORD DRONES AND CONTROLS THEM WITH HAND GESTURES fan shisan is a physics student in chengdu who coded and built flying drones shaped like actual swords he controls them entirely with hand gestures. no controller or a phone. just his hands wave your hand and the sword follows. point and it flies where you direct it. multiple swords in the air at the same time responding to different gestures he built the gesture recognition system HIMSELF and coded the flight control algorithms. designed the drone hardware in the shape of swords. the gesture tracking uses sensors that read the position and movement of his hands in real time and translate them into flight commands for each drone independently he even built one large enough to ride on a physics student with coding skills just brought something straight out of a kung fu movie into the real world the line between science fiction and side projects is getting thinner every month

Om Patel

308,000 görüntüleme • 5 ay önce

Fieldwatch 1.1.14 Update Fieldwatch listens for nearby Wi-Fi and Bluetooth signals and identifies the devices sending them, such as tracker tags, body cameras, drones and in-car Wi-Fi. It does this using a list of device signatures you can edit in the app. You can get an alert when a specific device type or address shows up, and you can record a session in one place or along a drive, then compare it with later visits. Fieldwatch can also spot devices that seem to be moving with you and build reports from everything it picked up. What’s new: See where you’ve been. The Reports screen now draws your route as you drive, the last 15 minutes or a full session. Stops show as green, flagged devices as red, and bookmarks as blue. Each device gets one numbered marker at its strongest signal. With online maps on and Privacy mode off, the route sits on a street map. Otherwise it’s a plain line. Video (sped up) shows a path that updates every few seconds as you drive. It’s on the Reports tab. Better PDF reports. Debrief and Compare PDFs now include that same map. Sessions, explained. A session (a "sit" in the app) is a named stretch of time and the devices heard during it. Session export lists each device once. Log export is the full running record. Drone detection. Fieldwatch now reads Remote ID, the digital license plate most drones broadcast, over Bluetooth and Wi-Fi (Android 11+ for Wi-Fi). In TAK mapping apps, each drone shows as one moving marker, with a second marker for the pilot. It works best when a drone hovers nearby. More accurate identification. Google Find Hub trackers, readable tire pressure sensors (including Teslas while awake), Flock's battery pack and gunshot microphone, and Axon body cameras are all identified more reliably. Smart glasses from Meta, Snap and Vuzix are still flagged. You can update the device signature catelog from GitHub when you're online. Signature catalog 81 can now identify up to 242 types of devices. Bug Fixed: A signal strength of 127 means Bluetooth couldn't measure it, not that the device is close, so hunting mode and shared reports now ignore it.
1:14

Fieldwatch 1.1.14 Update Fieldwatch listens for nearby Wi-Fi and Bluetooth signals and identifies the devices sending them, such as tracker tags, body cameras, drones and in-car Wi-Fi. It does this using a list of device signatures you can edit in the app. You can get an alert when a specific device type or address shows up, and you can record a session in one place or along a drive, then compare it with later visits. Fieldwatch can also spot devices that seem to be moving with you and build reports from everything it picked up. What’s new: See where you’ve been. The Reports screen now draws your route as you drive, the last 15 minutes or a full session. Stops show as green, flagged devices as red, and bookmarks as blue. Each device gets one numbered marker at its strongest signal. With online maps on and Privacy mode off, the route sits on a street map. Otherwise it’s a plain line. Video (sped up) shows a path that updates every few seconds as you drive. It’s on the Reports tab. Better PDF reports. Debrief and Compare PDFs now include that same map. Sessions, explained. A session (a "sit" in the app) is a named stretch of time and the devices heard during it. Session export lists each device once. Log export is the full running record. Drone detection. Fieldwatch now reads Remote ID, the digital license plate most drones broadcast, over Bluetooth and Wi-Fi (Android 11+ for Wi-Fi). In TAK mapping apps, each drone shows as one moving marker, with a second marker for the pilot. It works best when a drone hovers nearby. More accurate identification. Google Find Hub trackers, readable tire pressure sensors (including Teslas while awake), Flock's battery pack and gunshot microphone, and Axon body cameras are all identified more reliably. Smart glasses from Meta, Snap and Vuzix are still flagged. You can update the device signature catelog from GitHub when you're online. Signature catalog 81 can now identify up to 242 types of devices. Bug Fixed: A signal strength of 127 means Bluetooth couldn't measure it, not that the device is close, so hunting mode and shared reports now ignore it.

Off Grid Pete

25,454 görüntüleme • 1 ay önce