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Tesla employee foregoes $1M payment, works with FBI to thwart cybersecurity attack
Sometimes, the events that transpire inside a company could be just as exciting and nail-biting as the most popular thrillers in fiction. In Tesla’s case, such a scenario recently played out, as a worker in Gigafactory Nevada ended up turning down a $1 million incentive, working closely with the FBI, and thwarting a planned cybersecurity attack against the electric car maker.
This Tuesday, the Department of Justice announced the arrest of Egor Igorevich Kriuchkov, a Russian citizen accused of conspiring to breach the network of a US company and introduce malware to compromise the said company’s networks. Media reports about the incident have identified the US company to be electric car maker Tesla. Interestingly enough, a criminal complaint filed by the FBI Las Vegas Field Office suggests that the attempted cybersecurity attack is no ordinary hacking attempt — it may very well be part of a well-financed, organized, scheme.
The plan begins
The remarkable story began when a Russian-speaking, non-US citizen working at Tesla’s Gigafactory Nevada was contacted by Kriuchkov. The employee, whose identity has not been revealed, has access to the electric car maker’s computer networks. On July 16, the Russian citizen contacted the Giga Nevada employee through WhatsApp asking to meet with him in Sparks, Nevada. As noted in a report from Clearance Jobs, the fact that Kriuchkov approached a Russian-speaking, non-US citizen working at Gigafactory Nevada suggests that the team behind the cyberattack attempt has done their research well.
The Tesla employee, some colleagues, and Kriuchkov met socially from August 1-3, which included a trip to Lake Tahoe. Interestingly enough, Kriuchkov reportedly declined to be present in any photos that were taken during the trip. At one point when the group was taking a photo during a picturesque sunset, Kriuchkov reportedly remarked that he would “just remember the beauty of the sunset and did not need a photograph.” After the relatively harmless Lake Tahoe trip, the Russian citizen asked the Tesla employee to meet with him for some “business.”
Down to “business”
During their “business” meeting, Kriuchkov revealed his hand. The plan involved the Tesla employee inserting malware provided by Kriuchkov and his associates to the electric car maker’s systems. After the malware is inserted, a distributed denial of service (DDoS) attack would occur that could allow the hackers to occupy the Tesla information security team. The malware would also allow the hackers to extract corporate and network data, which would be held ransom until the electric car maker pays up. For his participation in the ploy, the Gigafactory Nevada employee would receive $500,000, later raised to $1 million, to be paid in cash or bitcoin.
Unfortunately for Kriuchkov and his team, the Giga Nevada employee actually reported the planned cybersecurity attack to Tesla, which, in turn, contacted the FBI. The FBI stepped in, and with the agency’s help, the Tesla employee continued to communicate with Kriuchkov, trying to get as much information as possible about the hackers’ processes, procedures, and infrastructure. The efforts proved fruitful. In one conversation, the hacker reportedly boasted that his team had recently received a ransom worth over $4 million from a high profile company. Later reports would reveal that the company in question was CWT Travel, which reportedly paid a ransom of $4.5 million.
The plan falls through
During a meeting on August 19, the Tesla employee, wearing a wire from the FBI, met with Kriuchkov. The hacker agreed to pay an advance of $11,000 to the Giga Nevada worker. Two days later, on August 21, the Tesla employee was contacted by the hacker once more, who stated that the project was being “delayed” and all payments relating to the plan would not be transferred until a later date. Kriuchkov also informed the Tesla employee that he was leaving the area the following day. Behind the scenes, the FBI was able to get in touch with the hacker, who, in turn, drove overnight from Reno, Nevada to Los Angeles in what appeared to be an attempt to flee the United States.
Kriuchkov was unsuccessful, as he was arrested on August 22, 2020 in Los Angeles. The hacker is currently being detained pending trial. Fortunately for Tesla, the company was able to get away from what could have been a serious cybersecurity attack, and it has one employee to thank for it. It takes a lot, after all, to say no to a $1 million reward, as others have compromised far more for far less.
Read the FBI’s complaint against Kriuchkov below.
Complaint Egor Kriuchkov 3 20 Mj 83-0-0 by Simon Alvarez on Scribd
News
Tesla briefly offered this Robotaxi part for your personal car
Tesla briefly offered one Robotaxi part in its Parts Catalog for your personal car, only to remove it just a short time after it was first noticed.
Tesla’s Robotaxi camera washer apparatus was briefly available for purchase on the company’s Online Parts Catalog. The camera washer was first noticed on Model Y Robotaxi vehicles about six months ago in Austin.
🚨 Tesla looks to have installed Camera Washers on the side repeater cameras on Robotaxis in Austin
pic.twitter.com/xemRtDtlRR— TESLARATI (@Teslarati) January 23, 2026
First noticed by Not a Tesla App, the Camera Washer entries appeared for the new “Juniper” Model Y under a category called “Halo,” which has also now disappeared. Interestingly, Halo probably is related to Tesla’s internal “Project Halo,” which was a project that aimed to retrofit customer-owned Model Ys into functional Robotaxis.
This hardware addition would likely be required for the vehicle to operate as a Robotaxi, as the Camera Washer seems to be a non-negotiable part of the vision-based system Tesla utilizes for self-driving efforts.
However, this part has since been removed and is no longer visible on the EPC.

Now the true question lingers: Why would Tesla add this Camera Washer to the Model Y parts catalog? Is it planning to make it available for owners to utilize on their own cars for personal use, or will it become a prerequisite for Robotaxi operation in customer-owned cars?
While discussing the upgrade options for Hardware 3 vehicles during the Q1 Earnings Call, Tesla CEO Elon Musk had said that the company could establish small, satellite shops that would upgrade cameras and self-driving computers. Perhaps this same strategy could be utilized for vehicles that want to be included in Robotaxi but do not have the correct hardware.
AI4 is currently represented as capable of unsupervised self-driving, and the same was said about HW3 at one point, only for Tesla to admit last quarter that it would, unfortunately, not be possible. Perhaps AI4 vehicles might need this camera washer as a prerequisite, just as HW3 cars will need that camera and computer upgrade.
This could be the first hint of that’s where we are headed.
News
Tesla Robotaxi gets sweeping but polarizing change
Tesla has started rolling out a broader change to the ride experience for its Robotaxi fleet by silencing turn signals, but the change is certainly polarizing.
Tesla has generally made it clear that its purpose-built ride-hailing platform, Robotaxi, will cater to the rider in nearly every way possible. This includes having climate preferences, music, and other personal settings loaded up in the car as the rider enters.
But Tesla is taking it a step further by muting turn signal chimes altogether, a change that appears to be a way to make the ride more peaceful:
Tesla has finally turned off the blinker/turn signal noises in their Model Y Robotaxis.
This is a small update, but will definitely be noticeable for riders. It didn’t really make much sense to leave the turn signal sound on when it’s Unsupervised. pic.twitter.com/ITwx60PAMO
— Sawyer Merritt (@SawyerMerritt) July 27, 2026
However, there are a handful of people who are not thrilled about this change. Turn signals are a conditioned part of the human mind for those who ride in a car regularly.
Taking a turn without one feels strange and odd, and not hearing it click while activated could set off some alarms for riders, who might use the noise as confirmation that other drivers know of their intention to turn.
I kind of like it being on, threw me off when riding with Zoox who has had it disabled
— Dan Burkland (@DBurkland) July 27, 2026
Turn signal noises are still audible in customer cars, so if you use FSD in your personal vehicle, you will still hear the turn signal.
The move is certainly one that is unique, but not one that separates it from other ride-sharing services. In a normal car, the clicking sound confirms to the driver that the blinker is active. In a fully driverless Robotaxi, that feedback serves no purpose for passengers, other than peace of mind.
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Tesla Full Self-Driving v14.3.6 review: a rare regression, but some bright spots
Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.
Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.
However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.
With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.
Turning Hesitancy, Inaccuracy
I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.
I think Tesla FSD v14.3.6 is a regression from previous .3 branches
This version in particular has been incredibly hesitant, jerky, and indecisive at times. There’s actually been two drives that I have decided to not used FSD for the remainder of the trip. These were local trips… pic.twitter.com/YobHDOKRS6
— TESLARATI (@Teslarati) July 26, 2026
Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.
I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.
FSD Disregards Manual Turn Signals
This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.
If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.
FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.
This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.
This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.
Bird Braking is a Thing of the Past
The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.
There have been zero issues with this so far in v14.3.6, which is an excellent improvement.
FSD Might Already Be Taking Note of Driver Preferences
Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.
This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.
Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.
I don’t want to get anyone excited but my Tesla running FSD v14.3.6 just:
✅ Pulled into an entrance at my local Sheetz that I routinely pull into manually but FSD never has entered
✅ Pulled into my assigned parking space at home despite many other spots being vacant https://t.co/ZUShvknTWO pic.twitter.com/83O5a2S0eh
— TESLARATI (@Teslarati) July 24, 2026
Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.
It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.
As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.

