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Global Surveillance in the Wake of COVID-19

OneZero is tracking thirty countries around the world who are implementing surveillance programs in the wake of COVID-19:

The most common form of surveillance implemented to battle the pandemic is the use of smartphone location data, which can track population-level movement down to enforcing individual quarantines. Some governments are making apps that offer coronavirus health information, while also sharing location information with authorities for a period of time. For instance, in early March, the Iranian government released an app that it pitched as a self-diagnostic tool. While the tool’s efficacy was likely low, given reports of asymptomatic carriers of the virus, the app saved location data of millions of Iranians, according to a Vice report.

One of the most alarming measures being implemented is in Argentina, where those who are caught breaking quarantine are being forced to download an app that tracks their location. In Hong Kong, those arriving in the airport are given electronic tracking bracelets that must be synced to their home location through their smartphone’s GPS signal.

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Posted on April 24, 2020 at 6:02 AM • View Comments

Chinese COVID-19 Disinformation Campaign

The New York Times is reporting on state-sponsored disinformation campaigns coming out of China:

Since that wave of panic, United States intelligence agencies have assessed that Chinese operatives helped push the messages across platforms, according to six American officials, who spoke on the condition of anonymity to publicly discuss intelligence matters. The amplification techniques are alarming to officials because the disinformation showed up as texts on many Americans’ cellphones, a tactic that several of the officials said they had not seen before.

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Posted on April 23, 2020 at 12:01 PM • View Comments

New iPhone Zero-Day Discovered

Last year, ZecOps discovered two iPhone zero-day exploits. They will be patched in the next iOS release:

Avraham declined to disclose many details about who the targets were, and did not say whether they lost any data as a result of the attacks, but said “we were a bit surprised about who was targeted.” He said some of the targets were an executive from a telephone carrier in Japan, a “VIP” from Germany, managed security service providers from Saudi Arabia and Israel, people who work for a Fortune 500 company in North America, and an executive from a Swiss company.

[…]

On the other hand, this is not as polished a hack as others, as it relies on sending an oversized email, which may get blocked by certain email providers. Moreover, Avraham said it only works on the default Apple Mail app, and not on Gmail or Outlook, for example.

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Posted on April 22, 2020 at 9:12 AM • View Comments

Another Story of Bad 1970s Encryption

This one is from the Netherlands. It seems to be clever cryptanalysis rather than a backdoor.

The Dutch intelligence service has been able to read encrypted communications from dozens of countries since the late 1970s thanks to a microchip, according to research by de Volkskrant on Thursday. The Netherlands could eavesdrop on confidential communication from countries such as Iran, Egypt and Saudi Arabia.

Philips, together with Siemens, built an encryption machine in the late 1970s. The device, the Aroflex, was used for secret communication between NATO allies. In addition, the companies also wanted to market the T1000CA, a commercial variant of the Aroflex with less strong cryptography.

The Volkskrant investigation shows that the Ministry of Foreign Affairs and the Marine Intelligence Service (MARID) cracked the cryptography of this device before it was launched. Philips helped the ministry and the intelligence service.

Normally it would take at least a month and a half to crack the T1000CA encryption. “Too long to get useful information from intercepted communication,” the newspaper writes. But MARID employees, together with Philips, succeeded in accelerating this 2.500 times by developing a special microchip.

The T1000CA was then sold to numerous non-NATO countries, including the Middle East and Asia. These countries could then be overheard by the Dutch intelligence services for years.

The 1970s was a decade of really bad commercial cryptography. DES, in 1975, was an improvement with its 56-bit key. I’m sure there are lots of these stories.

Here’s more about the Aroflex. And here’s what I think is the original Dutch story.

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Posted on April 21, 2020 at 6:22 AM • View Comments

Vulnerability Finding Using Machine Learning

Microsoft is training a machine-learning system to find software bugs:

At Microsoft, 47,000 developers generate nearly 30 thousand bugs a month. These items get stored across over 100 AzureDevOps and GitHub repositories. To better label and prioritize bugs at that scale, we couldn’t just apply more people to the problem. However, large volumes of semi-curated data are perfect for machine learning. Since 2001 Microsoft has collected 13 million work items and bugs. We used that data to develop a process and machine learning model that correctly distinguishes between security and non-security bugs 99 percent of the time and accurately identifies the critical, high priority security bugs, 97 percent of the time.

News article.

I wrote about this in 2018:

The problem of finding software vulnerabilities seems well-suited for ML systems. Going through code line by line is just the sort of tedious problem that computers excel at, if we can only teach them what a vulnerability looks like. There are challenges with that, of course, but there is already a healthy amount of academic literature on the topic—and research is continuing. There’s every reason to expect ML systems to get better at this as time goes on, and some reason to expect them to eventually become very good at it.

Finding vulnerabilities can benefit both attackers and defenders, but it’s not a fair fight. When an attacker’s ML system finds a vulnerability in software, the attacker can use it to compromise systems. When a defender’s ML system finds the same vulnerability, he or she can try to patch the system or program network defenses to watch for and block code that tries to exploit it.

But when the same system is in the hands of a software developer who uses it to find the vulnerability before the software is ever released, the developer fixes it so it can never be used in the first place. The ML system will probably be part of his or her software design tools and will automatically find and fix vulnerabilities while the code is still in development.

Fast-forward a decade or so into the future. We might say to each other, “Remember those years when software vulnerabilities were a thing, before ML vulnerability finders were built into every compiler and fixed them before the software was ever released? Wow, those were crazy years.” Not only is this future possible, but I would bet on it.

Getting from here to there will be a dangerous ride, though. Those vulnerability finders will first be unleashed on existing software, giving attackers hundreds if not thousands of vulnerabilities to exploit in real-world attacks. Sure, defenders can use the same systems, but many of today’s Internet of Things (IoT) systems have no engineering teams to write patches and no ability to download and install patches. The result will be hundreds of vulnerabilities that attackers can find and use.

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Posted on April 20, 2020 at 6:22 AM • View Comments

The DoD Isn't Fixing Its Security Problems

It has produced several reports outlining what’s wrong and what needs to be fixed. It’s not fixing them:

GAO looked at three DoD-designed initiatives to see whether the Pentagon is following through on its own goals. In a majority of cases, DoD has not completed the cybersecurity training and awareness tasks it set out to. The status of various efforts is simply unknown because no one has tracked their progress. While an assessment of “cybersecurity hygiene” like this doesn’t directly analyze a network’s hardware and software vulnerabilities, it does underscore the need for people who use digital systems to interact with them in secure ways. Especially when those people work on national defense.

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The report focuses on three ongoing DoD cybersecurity hygiene initiatives. The 2015 Cybersecurity Culture and Compliance Initiative outlined 11 education-related goals for 2016; the GAO found that the Pentagon completed only four of them. Similarly, the 2015 Cyber Discipline plan outlined 17 goals related to detecting and eliminating preventable vulnerabilities from DoD’s networks by the end of 2018. GAO found that DoD has met only six of those. Four are still pending, and the status of the seven others is unknown, because no one at DoD has kept track of the progress.

GAO repeatedly identified lack of status updates and accountability as core issues within DoD’s cybersecurity awareness and education efforts. It was unclear in many cases who had completed which training modules. There were even DoD departments lacking information on which users should have their network access revoked for failure to complete trainings.

The report.

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Posted on April 17, 2020 at 10:35 AM • View Comments

California Needlessly Reduces Privacy During COVID-19 Pandemic

This one isn’t even related to contact tracing:

On March 17, 2020, the federal government relaxed a number of telehealth-related regulatory requirements due to COVID-19. On April 3, 2020, California Governor Gavin Newsom issued Executive Order N-43-20 (the Order), which relaxes various telehealth reporting requirements, penalties, and enforcements otherwise imposed under state laws, including those associated with unauthorized access and disclosure of personal information through telehealth mediums.

Lots of details at the link.

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Posted on April 16, 2020 at 10:34 AM • View Comments

Ransomware Now Leaking Stolen Documents

Originally, ransomware didn’t involve any data theft. Malware would encrypt the data on your computer, and demand a ransom for the encryption key. Now ransomware is increasingly involving both encryption and exfiltration. Brian Krebs wrote about this in December. It’s a further incentive for the victims to pay.

Recently, the aerospace company Visser Precision was hit by the DoppelPaymer ransomware. The company refused to pay, so the criminals leaked documents and data belonging to Visser Precision, Lockheed Martin, Boeing, SpaceX, the US Navy, and others.

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Posted on April 14, 2020 at 7:48 AM • View Comments

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Sidebar photo of Bruce Schneier by Joe MacInnis.