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Tesla returns to Pwn2Own hacking competition with Model 3 as target and prize

(Photo: Andres GE)

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Last year, Tesla made headlines when it made a Mid-Range Model 3 RWD a target and prize at a Pwn2Own hacking competition. Two hackers participating at the event were able to find a vulnerability with the Model 3’s browser, allowing them to win the vehicle and over $350,000 in prize money. But Tesla is a company that never stays still, so this year, the electric car maker is returning to an upcoming Pwn2Own event this March, armed with a much more secure Model 3 and a bigger cash reward. 

This time around, Tesla is offering three tiers of prizes for hackers who can find vulnerabilities in the Model 3. Hackers who wish to claim the highest “Tier 1” prize would need to pivot through multiple systems in the car to find vulnerabilities. But if they are successful, they will win the Model 3 and a $500,000 prize. But that’s not all. Contestants can also aim to acquire additional options to increase the cash prize to $700,000. 

In a statement to Forbes, a spokesperson from Trend Micro ZDI explained that Tesla’s challenge this year is incredibly tough, but it also comes with a record-setting reward. “This represents the single largest target in Pwn2Own history. If someone can do this, it would also mean 70 total Master of Pwn points, which is nearly insurmountable,” the spokesperson said. “We wanted to include Tesla because they pioneered the concept of a connected car and over-the-air updates for their entire vehicle fleet nearly a decade ago, and have been leading the space ever since.”

Just like last year, Tesla will be joining other tech companies at the upcoming Pwn2Own event. While Tesla appears to be the only automaker that is willing to test its vehicles’ security against the best white hat hackers in the industry, other mainstream tech companies are also allowing their key products to be targets for the competition. Google’s Chrome, Microsoft’s Edge, Apple’s Safari, and Mozilla’s Firefox web browsers, for example, are all targets this time around for the Web Browser category. At the same time, Microsoft’s Office 365 Plus and Adobe Reader are the targets for the Enterprise Applications category.  

Tesla’s participation in events such as Pwn2Own highlights the company’s Silicon Valley roots. The company’s electric vehicles usually dominate the news cycle, resulting in Tesla being commonly dubbed as a carmaker. But the company is far beyond that, as it is, at its core, a tech firm. This is one of the reasons why Teslas are so different from any other vehicle on the road. Its vehicles are equipped with proprietary software and hardware that provides something akin to an Apple-like experience for customers. 

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This distinction is something that Tesla had emphasized since 2014, when the company broke conventions by launching its Bug Bounty program. By doing so, Tesla practically invited white hat hackers to find security faults in its vehicles. Tesla’s efforts have largely borne fruit, with several security features today, such as PIN-to-Drive, being developed as a result of the company’s Bug Bounty program.  

The upcoming Pwn2Own event will be held at the CanSecWest conference, which is scheduled to run from March 18-20, 2020.

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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Elon Musk

Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab

Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.

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During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.

Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”

Tesla Semi’s official battery capacity leaked by California regulators

The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.

A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.


Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.

The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.

It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.

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Investor's Corner

Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.

This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.

Tesla Q2 2026 Earnings Results

  • Non-GAAP EPS – $0.33 reported vs. $0.53 expected
  • Revenues – $28.236 billion reported vs. $26.4 billion expected
  • Free Cash Flow- -$1.092B
  • Profit -$ 4.751B

Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.

Tesla shares closed today down just over 1 percent, trading at $374.01.

In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.

Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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Elon Musk

Tesla is about to make parking in busy lots less stressful than ever

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Tesla FSD 14.3 [Credit: TESLARATI)
Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.

Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:

Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.

Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.

Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.

The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:

Tesla reveals 2026 Summer Update with crazy fixes to Nav and more

Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.

Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.

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