News

2020 Was a Secure Election

Over at Lawfare: “2020 Is An Election Security Success Story (So Far).”

What’s more, the voting itself was remarkably smooth. It was only a few months ago that professionals and analysts who monitor election administration were alarmed at how badly unprepared the country was for voting during a pandemic. Some of the primaries were disasters. There were not clear rules in many states for voting by mail or sufficient opportunities for voting early. There was an acute shortage of poll workers. Yet the United States saw unprecedented turnout over the last few weeks. Many states handled voting by mail and early voting impressively and huge numbers of volunteers turned up to work the polls. Large amounts of litigation before the election clarified the rules in every state. And for all the president’s griping about the counting of votes, it has been orderly and apparently without significant incident. The result was that, in the midst of a pandemic that has killed 230,000 Americans, record numbers of Americans voted­ — and voted by mail — ­and those votes are almost all counted at this stage…

Detecting Phishing Emails

Research paper: Rick Wash, “How Experts Detect Phishing Scam Emails“:

Abstract: Phishing scam emails are emails that pretend to be something they are not in order to get the recipient of the email to undertake some action they normally would not. While technical protections against phishing reduce the number of phishing emails received, they are not perfect and phishing remains one of the largest sources of security risk in technology and communication systems. To better understand the cognitive process that end users can use to identify phishing messages, I interviewed 21 IT experts about instances where they successfully identified emails as phishing in their own inboxes. IT experts naturally follow a three-stage process for identifying phishing emails. In the first stage, the email recipient tries to make sense of the email, and understand how it relates to other things in their life. As they do this, they notice discrepancies: little things that are “off” about the email. As the recipient notices more discrepancies, they feel a need for an alternative explanation for the email. At some point, some feature of the email — usually, the presence of a link requesting an action — triggers them to recognize that phishing is a possible alternative explanation. At this point, they become suspicious (stage two) and investigate the email by looking for technical details that can conclusively identify the email as phishing. Once they find such information, then they move to stage three and deal with the email by deleting it or reporting it. I discuss ways this process can fail, and implications for improving training of end users about phishing…

Why Paying to Delete Stolen Data is Bonkers

Companies hit by ransomware often face a dual threat: Even if they avoid paying the ransom and can restore things from scratch, about half the time the attackers also threaten to release sensitive stolen data unless the victim pays for a promise to have the data deleted. Leaving aside the notion that victims might have any real expectation the attackers will actually destroy the stolen data, new research suggests a fair number of victims who do pay up may see some or all of the stolen data published anyway.

Determining What Video Conference Participants Are Typing from Watching Shoulder Movements

Accuracy isn’t great, but that it can be done at all is impressive.

Murtuza Jadiwala, a computer science professor heading the research project, said his team was able to identify the contents of texts by examining body movement of the participants. Specifically, they focused on the movement of their shoulders and arms to extrapolate the actions of their fingers as they typed.

Given the widespread use of high-resolution web cams during conference calls, Jadiwala was able to record and analyze slight pixel shifts around users’ shoulders to determine if they were moving left or right, forward or backward. He then created a software program that linked the movements to a list of commonly used words. He says the “text inference framework that uses the keystrokes detected from the video … predict[s] words that were most likely typed by the target user. We then comprehensively evaluate[d] both the keystroke/typing detection and text inference frameworks using data collected from a large number of participants.”…

New Windows Zero-Day

Google’s Project Zero has discovered and published a buffer overflow vulnerability in the Windows Kernel Cryptography Driver. The exploit doesn’t affect the cryptography, but allows attackers to escalate system privileges:

Attackers were combining an exploit for it with a separate one targeting a recently fixed flaw in Chrome. The former allowed the latter to escape a security sandbox so the latter could execute code on vulnerable machines.

The vulnerability is being exploited in the wild, although Microsoft says it’s not being exploited widely. Everyone expects a fix in the next Patch Tuesday cycle…