When Princeton Professor Andrew Appel decided to hack into a voting machine, he didn’t try to mimic the Russian attackers who hacked into the DNC’s database last month. He didn’t write malicious code, or linger near a polling place where the machines can go unguarded for days. Instead, he bought one online. With a few cursory clicks of a mouse, Appel parted with $82 and became the owner of an ungainly metallic giant called the Sequoia AVC Advantage, one of the oldest and vulnerable, electronic voting machines in the United States (among other places it’s deployed in Louisiana, New Jersey, Virginia, and Pennsylvania). No sooner did a team of bewildered deliverymen roll the 250-pound device into a conference room near Appel’s cramped, third-floor office than the professor set to work. He summoned a graduate student named Alex Halderman, who could pick the machine’s lock in seven seconds. Clutching a screwdriver, he deftly wedged out the four ROM chips—they weren’t soldered into the circuit board, as sense might dictate—making it simple to replace them with one of his own: A version of modified firmware that could throw off the machine’s results, subtly altering the tally of votes, never to betray a hint to the voter. The attack was concluded in minutes. To mark the achievement, his student snapped a photo of Appel—oblong features, messy black locks and a salt-and-pepper beard—grinning for the camera, fists still on the circuit board, as if to look directly into the eyes of the American taxpayer: Don’t look at me—you’re the one who paid for this thing. Appel’s mischief might be called an occupational asset: He is part of a diligent corps of so-called cyber-academics—professors who have spent the last decade serving their country by relentlessly hacking it. Electronic voting machines—particularly a design called Direct Recording Electronic, or DRE’s—took off in 2002, in the wake of Bush v. Gore. For the ensuing 15 years, Appel and his colleagues have deployed every manner of stunt to convince the public that the system is pervasively unsecure and vulnerable.