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Tesla employee foregoes $1M payment, works with FBI to thwart cybersecurity attack

Tesla Gigafactory 1, where Model 3 battery cells are produced. (Photo: Tesla)

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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.”

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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. 

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Read the FBI’s complaint against Kriuchkov below. 

Complaint Egor Kriuchkov 3 20 Mj 83-0-0 by Simon Alvarez on Scribd

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla faces Full Self-Driving pushback in EU over ‘speeding’

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Credit: Tesla

A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.

The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.

TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.

Tesla Full Self-Driving gets first-ever European approval

Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.

Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.

TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of ​vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.

This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.

This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.

However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.

Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.

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Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’

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Credit: Tesla

Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.

The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.

A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”

Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.

Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.

This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.

The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.

Musk teased that a similar feature was “coming” back in February:

Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says

It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.

Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.

Here’s an example of that from December:

Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.

We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.

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Tesla Cybercab has one important piece that AI4 cars might need for FSD

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Credit: @tpgoebel | X

A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.

This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.

The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.

Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:

Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.

But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:

This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.

For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.

Without it, even the most advanced neural nets struggle when their “eyes” are compromised.

What Does This Mean for AI4 Cars?

This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:

Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys

As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.

As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.

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